id	sid	tid	token	lemma	pos
ijassa-859	1	1	microsoft	microsoft	PROPN
ijassa-859	1	2	word	word	PROPN
ijassa-859	1	3	859	859	NUM
ijassa-859	1	4	-	-	PUNCT
ijassa-859	1	5	article	article	NOUN
ijassa-859	1	6	text-2988-1-6-20200617.doc	text-2988-1-6-20200617.doc	NOUN
ijassa-859	1	7	adv	adv	PROPN
ijassa-859	1	8	syst	syst	PROPN
ijassa-859	1	9	sci	sci	PROPN
ijassa-859	1	10	appl	appl	PROPN
ijassa-859	1	11	2020	2020	NUM
ijassa-859	1	12	;	;	PUNCT
ijassa-859	1	13	02	02	NUM
ijassa-859	1	14	;	;	PUNCT
ijassa-859	1	15	44	44	NUM
ijassa-859	1	16	-	-	SYM
ijassa-859	1	17	55	55	NUM
ijassa-859	1	18	published	publish	VERB
ijassa-859	1	19	online	online	ADV
ijassa-859	1	20	at	at	ADP
ijassa-859	1	21	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADJ
ijassa-859	1	22	.	.	PUNCT
ijassa-859	2	1	influence	influence	NOUN
ijassa-859	2	2	assessment	assessment	NOUN
ijassa-859	2	3	of	of	ADP
ijassa-859	2	4	intelligent	intelligent	ADJ
ijassa-859	2	5	unmanned	unmanned	ADJ
ijassa-859	2	6	ground	ground	NOUN
ijassa-859	2	7	vehicles	vehicle	NOUN
ijassa-859	2	8	on	on	ADP
ijassa-859	2	9	the	the	DET
ijassa-859	2	10	transport	transport	NOUN
ijassa-859	2	11	network	network	NOUN
ijassa-859	2	12	state	state	NOUN
ijassa-859	2	13	andranik	andranik	VERB
ijassa-859	2	14	akopov1,2	akopov1,2	PROPN
ijassa-859	2	15	,	,	PUNCT
ijassa-859	2	16	nerses	nerse	VERB
ijassa-859	2	17	khachatryan1,2	khachatryan1,2	PROPN
ijassa-859	2	18	,	,	PUNCT
ijassa-859	2	19	fedor	fedor	PROPN
ijassa-859	2	20	belousov1,2	belousov1,2	PROPN
ijassa-859	2	21	*	*	PROPN
ijassa-859	2	22	1	1	NUM
ijassa-859	2	23	)	)	PUNCT
ijassa-859	2	24	national	national	ADJ
ijassa-859	2	25	research	research	PROPN
ijassa-859	2	26	university	university	PROPN
ijassa-859	2	27	higher	high	ADJ
ijassa-859	2	28	school	school	NOUN
ijassa-859	2	29	of	of	ADP
ijassa-859	2	30	economics	economic	NOUN
ijassa-859	2	31	,	,	PUNCT
ijassa-859	2	32	moscow	moscow	PROPN
ijassa-859	2	33	,	,	PUNCT
ijassa-859	2	34	russia	russia	PROPN
ijassa-859	2	35	e	e	NOUN
ijassa-859	2	36	-	-	NOUN
ijassa-859	2	37	mail	mail	NOUN
ijassa-859	2	38	:	:	PUNCT
ijassa-859	2	39	aakopov@hse.ru	aakopov@hse.ru	VERB
ijassa-859	2	40	,	,	PUNCT
ijassa-859	2	41	nkhachatryan@hse.ru	nkhachatryan@hse.ru	ADV
ijassa-859	2	42	,	,	PUNCT
ijassa-859	2	43	fbelousov@hse.ru	fbelousov@hse.ru	X
ijassa-859	2	44	2	2	NUM
ijassa-859	2	45	)	)	PUNCT
ijassa-859	2	46	central	central	ADJ
ijassa-859	2	47	economics	economic	NOUN
ijassa-859	2	48	and	and	CCONJ
ijassa-859	2	49	mathematics	mathematics	PROPN
ijassa-859	2	50	institute	institute	PROPN
ijassa-859	2	51	ras	ras	PROPN
ijassa-859	2	52	,	,	PUNCT
ijassa-859	2	53	moscow	moscow	PROPN
ijassa-859	2	54	,	,	PUNCT
ijassa-859	2	55	russia	russia	PROPN
ijassa-859	2	56	e	e	NOUN
ijassa-859	2	57	-	-	NOUN
ijassa-859	2	58	mail	mail	NOUN
ijassa-859	2	59	:	:	PUNCT
ijassa-859	2	60	nerses@cemi.rssi.ru	nerses@cemi.rssi.ru	ADV
ijassa-859	2	61	abstract	abstract	ADJ
ijassa-859	2	62	:	:	PUNCT
ijassa-859	2	63	this	this	DET
ijassa-859	2	64	article	article	NOUN
ijassa-859	2	65	is	be	AUX
ijassa-859	2	66	devoted	devote	VERB
ijassa-859	2	67	to	to	PART
ijassa-859	2	68	econometric	econometric	VERB
ijassa-859	2	69	analysis	analysis	NOUN
ijassa-859	2	70	of	of	ADP
ijassa-859	2	71	the	the	DET
ijassa-859	2	72	results	result	NOUN
ijassa-859	2	73	of	of	ADP
ijassa-859	2	74	experiments	experiment	NOUN
ijassa-859	2	75	conducted	conduct	VERB
ijassa-859	2	76	with	with	ADP
ijassa-859	2	77	two	two	NUM
ijassa-859	2	78	agent	agent	NOUN
ijassa-859	2	79	-	-	PUNCT
ijassa-859	2	80	based	base	VERB
ijassa-859	2	81	models	model	NOUN
ijassa-859	2	82	,	,	PUNCT
ijassa-859	2	83	which	which	PRON
ijassa-859	2	84	describe	describe	VERB
ijassa-859	2	85	the	the	DET
ijassa-859	2	86	movement	movement	NOUN
ijassa-859	2	87	of	of	ADP
ijassa-859	2	88	ground	ground	NOUN
ijassa-859	2	89	vehicles	vehicle	NOUN
ijassa-859	2	90	.	.	PUNCT
ijassa-859	3	1	there	there	PRON
ijassa-859	3	2	are	be	VERB
ijassa-859	3	3	two	two	NUM
ijassa-859	3	4	types	type	NOUN
ijassa-859	3	5	of	of	ADP
ijassa-859	3	6	road	road	NOUN
ijassa-859	3	7	users	user	NOUN
ijassa-859	3	8	in	in	ADP
ijassa-859	3	9	these	these	DET
ijassa-859	3	10	models	model	NOUN
ijassa-859	3	11	:	:	PUNCT
ijassa-859	3	12	manned	man	VERB
ijassa-859	3	13	ground	ground	NOUN
ijassa-859	3	14	vehicles	vehicle	NOUN
ijassa-859	3	15	(	(	PUNCT
ijassa-859	3	16	mgv	mgv	NOUN
ijassa-859	3	17	)	)	PUNCT
ijassa-859	3	18	and	and	CCONJ
ijassa-859	3	19	unmanned	unmanned	ADJ
ijassa-859	3	20	ground	ground	NOUN
ijassa-859	3	21	vehicles	vehicle	NOUN
ijassa-859	3	22	(	(	PUNCT
ijassa-859	3	23	ugv	ugv	NOUN
ijassa-859	3	24	)	)	PUNCT
ijassa-859	3	25	.	.	PUNCT
ijassa-859	4	1	in	in	ADP
ijassa-859	4	2	the	the	DET
ijassa-859	4	3	first	first	ADJ
ijassa-859	4	4	model	model	NOUN
ijassa-859	4	5	,	,	PUNCT
ijassa-859	4	6	the	the	DET
ijassa-859	4	7	main	main	ADJ
ijassa-859	4	8	difference	difference	NOUN
ijassa-859	4	9	between	between	ADP
ijassa-859	4	10	ugv	ugv	NOUN
ijassa-859	4	11	and	and	CCONJ
ijassa-859	4	12	mgv	mgv	NOUN
ijassa-859	4	13	is	be	AUX
ijassa-859	4	14	an	an	DET
ijassa-859	4	15	ability	ability	NOUN
ijassa-859	4	16	to	to	PART
ijassa-859	4	17	exchange	exchange	VERB
ijassa-859	4	18	massages	massage	NOUN
ijassa-859	4	19	between	between	ADP
ijassa-859	4	20	ugv	ugv	NOUN
ijassa-859	4	21	for	for	ADP
ijassa-859	4	22	transmitting	transmit	VERB
ijassa-859	4	23	information	information	NOUN
ijassa-859	4	24	about	about	ADP
ijassa-859	4	25	extreme	extreme	ADJ
ijassa-859	4	26	situations	situation	NOUN
ijassa-859	4	27	,	,	PUNCT
ijassa-859	4	28	which	which	PRON
ijassa-859	4	29	allows	allow	VERB
ijassa-859	4	30	them	they	PRON
ijassa-859	4	31	to	to	PART
ijassa-859	4	32	adjust	adjust	VERB
ijassa-859	4	33	speed	speed	NOUN
ijassa-859	4	34	and	and	CCONJ
ijassa-859	4	35	direction	direction	NOUN
ijassa-859	4	36	of	of	ADP
ijassa-859	4	37	movement	movement	NOUN
ijassa-859	4	38	.	.	PUNCT
ijassa-859	5	1	in	in	ADP
ijassa-859	5	2	the	the	DET
ijassa-859	5	3	second	second	ADJ
ijassa-859	5	4	model	model	NOUN
ijassa-859	5	5	,	,	PUNCT
ijassa-859	5	6	in	in	ADP
ijassa-859	5	7	addition	addition	NOUN
ijassa-859	5	8	to	to	ADP
ijassa-859	5	9	the	the	DET
ijassa-859	5	10	above	above	ADJ
ijassa-859	5	11	differences	difference	NOUN
ijassa-859	5	12	,	,	PUNCT
ijassa-859	5	13	ugv	ugv	NOUN
ijassa-859	5	14	have	have	VERB
ijassa-859	5	15	an	an	DET
ijassa-859	5	16	additional	additional	ADJ
ijassa-859	5	17	advantage	advantage	NOUN
ijassa-859	5	18	,	,	PUNCT
ijassa-859	5	19	namely	namely	ADV
ijassa-859	5	20	,	,	PUNCT
ijassa-859	5	21	the	the	DET
ijassa-859	5	22	ability	ability	NOUN
ijassa-859	5	23	to	to	PART
ijassa-859	5	24	intelligently	intelligently	ADV
ijassa-859	5	25	assess	assess	VERB
ijassa-859	5	26	density	density	NOUN
ijassa-859	5	27	of	of	ADP
ijassa-859	5	28	traffic	traffic	NOUN
ijassa-859	5	29	flow	flow	NOUN
ijassa-859	5	30	for	for	ADP
ijassa-859	5	31	efficient	efficient	ADJ
ijassa-859	5	32	maneuvering	maneuvering	NOUN
ijassa-859	5	33	.	.	PUNCT
ijassa-859	6	1	in	in	ADP
ijassa-859	6	2	these	these	DET
ijassa-859	6	3	models	model	NOUN
ijassa-859	6	4	,	,	PUNCT
ijassa-859	6	5	at	at	ADP
ijassa-859	6	6	a	a	DET
ijassa-859	6	7	given	give	VERB
ijassa-859	6	8	roundabout	roundabout	ADJ
ijassa-859	6	9	,	,	PUNCT
ijassa-859	6	10	traffic	traffic	NOUN
ijassa-859	6	11	characteristics	characteristic	NOUN
ijassa-859	6	12	such	such	ADJ
ijassa-859	6	13	as	as	ADP
ijassa-859	6	14	output	output	NOUN
ijassa-859	6	15	stream	stream	NOUN
ijassa-859	6	16	traffic	traffic	NOUN
ijassa-859	6	17	and	and	CCONJ
ijassa-859	6	18	the	the	DET
ijassa-859	6	19	number	number	NOUN
ijassa-859	6	20	of	of	ADP
ijassa-859	6	21	traffic	traffic	NOUN
ijassa-859	6	22	accidents	accident	NOUN
ijassa-859	6	23	are	be	AUX
ijassa-859	6	24	analyzed	analyze	VERB
ijassa-859	6	25	.	.	PUNCT
ijassa-859	7	1	the	the	DET
ijassa-859	7	2	main	main	ADJ
ijassa-859	7	3	task	task	NOUN
ijassa-859	7	4	of	of	ADP
ijassa-859	7	5	the	the	DET
ijassa-859	7	6	econometric	econometric	ADJ
ijassa-859	7	7	analysis	analysis	NOUN
ijassa-859	7	8	is	be	AUX
ijassa-859	7	9	to	to	PART
ijassa-859	7	10	study	study	VERB
ijassa-859	7	11	dependence	dependence	NOUN
ijassa-859	7	12	of	of	ADP
ijassa-859	7	13	these	these	DET
ijassa-859	7	14	traffic	traffic	NOUN
ijassa-859	7	15	characteristics	characteristic	NOUN
ijassa-859	7	16	on	on	ADP
ijassa-859	7	17	the	the	DET
ijassa-859	7	18	model	model	NOUN
ijassa-859	7	19	parameters	parameter	NOUN
ijassa-859	7	20	such	such	ADJ
ijassa-859	7	21	as	as	ADP
ijassa-859	7	22	average	average	ADJ
ijassa-859	7	23	vehicle	vehicle	NOUN
ijassa-859	7	24	speed	speed	NOUN
ijassa-859	7	25	,	,	PUNCT
ijassa-859	7	26	input	input	NOUN
ijassa-859	7	27	flow	flow	NOUN
ijassa-859	7	28	rate	rate	NOUN
ijassa-859	7	29	,	,	PUNCT
ijassa-859	7	30	message	message	NOUN
ijassa-859	7	31	exchange	exchange	NOUN
ijassa-859	7	32	rate	rate	NOUN
ijassa-859	7	33	between	between	ADP
ijassa-859	7	34	ugv	ugv	NOUN
ijassa-859	7	35	,	,	PUNCT
ijassa-859	7	36	and	and	CCONJ
ijassa-859	7	37	the	the	DET
ijassa-859	7	38	impact	impact	NOUN
ijassa-859	7	39	of	of	ADP
ijassa-859	7	40	the	the	DET
ijassa-859	7	41	effect	effect	NOUN
ijassa-859	7	42	obtained	obtain	VERB
ijassa-859	7	43	from	from	ADP
ijassa-859	7	44	the	the	DET
ijassa-859	7	45	implementation	implementation	NOUN
ijassa-859	7	46	into	into	ADP
ijassa-859	7	47	ugv	ugv	NOUN
ijassa-859	7	48	ability	ability	NOUN
ijassa-859	7	49	of	of	ADP
ijassa-859	7	50	intelligent	intelligent	ADJ
ijassa-859	7	51	estimation	estimation	NOUN
ijassa-859	7	52	of	of	ADP
ijassa-859	7	53	traffic	traffic	NOUN
ijassa-859	7	54	flow	flow	NOUN
ijassa-859	7	55	density	density	NOUN
ijassa-859	7	56	.	.	PUNCT
ijassa-859	8	1	keywords	keyword	NOUN
ijassa-859	8	2	:	:	PUNCT
ijassa-859	8	3	unmanned	unmanned	ADJ
ijassa-859	8	4	ground	ground	NOUN
ijassa-859	8	5	vehicles	vehicle	NOUN
ijassa-859	8	6	,	,	PUNCT
ijassa-859	8	7	manned	manned	ADJ
ijassa-859	8	8	ground	ground	NOUN
ijassa-859	8	9	vehicles	vehicle	NOUN
ijassa-859	8	10	,	,	PUNCT
ijassa-859	8	11	agent	agent	NOUN
ijassa-859	8	12	-	-	PUNCT
ijassa-859	8	13	based	base	VERB
ijassa-859	8	14	model	model	NOUN
ijassa-859	8	15	,	,	PUNCT
ijassa-859	8	16	experimental	experimental	ADJ
ijassa-859	8	17	results	result	NOUN
ijassa-859	8	18	,	,	PUNCT
ijassa-859	8	19	econometric	econometric	ADJ
ijassa-859	8	20	analysis	analysis	NOUN
ijassa-859	8	21	1	1	NUM
ijassa-859	8	22	.	.	PUNCT
ijassa-859	8	23	introduction	introduction	NOUN
ijassa-859	8	24	currently	currently	ADV
ijassa-859	8	25	,	,	PUNCT
ijassa-859	8	26	the	the	DET
ijassa-859	8	27	task	task	NOUN
ijassa-859	8	28	of	of	ADP
ijassa-859	8	29	developing	develop	VERB
ijassa-859	8	30	new	new	ADJ
ijassa-859	8	31	intelligent	intelligent	ADJ
ijassa-859	8	32	control	control	NOUN
ijassa-859	8	33	systems	system	NOUN
ijassa-859	8	34	for	for	ADP
ijassa-859	8	35	an	an	DET
ijassa-859	8	36	ensemble	ensemble	NOUN
ijassa-859	8	37	of	of	ADP
ijassa-859	8	38	ground	ground	NOUN
ijassa-859	8	39	-	-	PUNCT
ijassa-859	8	40	based	base	VERB
ijassa-859	8	41	ugv	ugv	NOUN
ijassa-859	8	42	is	be	AUX
ijassa-859	8	43	being	be	AUX
ijassa-859	8	44	actualized	actualize	VERB
ijassa-859	8	45	in	in	ADP
ijassa-859	8	46	order	order	NOUN
ijassa-859	8	47	to	to	PART
ijassa-859	8	48	ensure	ensure	VERB
ijassa-859	8	49	high	high	ADJ
ijassa-859	8	50	-	-	PUNCT
ijassa-859	8	51	speed	speed	NOUN
ijassa-859	8	52	and	and	CCONJ
ijassa-859	8	53	safe	safe	ADJ
ijassa-859	8	54	traffic	traffic	NOUN
ijassa-859	8	55	,	,	PUNCT
ijassa-859	8	56	maximize	maximize	VERB
ijassa-859	8	57	the	the	DET
ijassa-859	8	58	capacity	capacity	NOUN
ijassa-859	8	59	of	of	ADP
ijassa-859	8	60	the	the	DET
ijassa-859	8	61	transport	transport	NOUN
ijassa-859	8	62	system	system	NOUN
ijassa-859	8	63	and	and	CCONJ
ijassa-859	8	64	minimize	minimize	VERB
ijassa-859	8	65	the	the	DET
ijassa-859	8	66	number	number	NOUN
ijassa-859	8	67	of	of	ADP
ijassa-859	8	68	factors	factor	NOUN
ijassa-859	8	69	(	(	PUNCT
ijassa-859	8	70	for	for	ADP
ijassa-859	8	71	example	example	NOUN
ijassa-859	8	72	,	,	PUNCT
ijassa-859	8	73	emerging	emerge	VERB
ijassa-859	8	74	traffic	traffic	NOUN
ijassa-859	8	75	accidents	accident	NOUN
ijassa-859	8	76	)	)	PUNCT
ijassa-859	8	77	that	that	PRON
ijassa-859	8	78	threaten	threaten	VERB
ijassa-859	8	79	other	other	ADJ
ijassa-859	8	80	road	road	NOUN
ijassa-859	8	81	users	user	NOUN
ijassa-859	8	82	.	.	PUNCT
ijassa-859	9	1	works	work	VERB
ijassa-859	10	1	[	[	PUNCT
ijassa-859	10	2	1	1	NUM
ijassa-859	10	3	-	-	SYM
ijassa-859	10	4	7	7	NUM
ijassa-859	10	5	]	]	PUNCT
ijassa-859	10	6	are	be	AUX
ijassa-859	10	7	devoted	devote	VERB
ijassa-859	10	8	to	to	ADP
ijassa-859	10	9	development	development	NOUN
ijassa-859	10	10	of	of	ADP
ijassa-859	10	11	ugv	ugv	PROPN
ijassa-859	10	12	control	control	PROPN
ijassa-859	10	13	systems	system	NOUN
ijassa-859	10	14	.	.	PUNCT
ijassa-859	11	1	in	in	ADP
ijassa-859	11	2	particular	particular	ADJ
ijassa-859	11	3	,	,	PUNCT
ijassa-859	11	4	the	the	DET
ijassa-859	11	5	paper	paper	NOUN
ijassa-859	11	6	[	[	X
ijassa-859	11	7	1	1	X
ijassa-859	11	8	]	]	PUNCT
ijassa-859	11	9	proposes	propose	VERB
ijassa-859	11	10	an	an	DET
ijassa-859	11	11	algorithm	algorithm	NOUN
ijassa-859	11	12	based	base	VERB
ijassa-859	11	13	on	on	ADP
ijassa-859	11	14	predictive	predictive	ADJ
ijassa-859	11	15	tracking	tracking	NOUN
ijassa-859	11	16	control	control	NOUN
ijassa-859	11	17	,	,	PUNCT
ijassa-859	11	18	designed	design	VERB
ijassa-859	11	19	to	to	PART
ijassa-859	11	20	reduce	reduce	VERB
ijassa-859	11	21	time	time	NOUN
ijassa-859	11	22	for	for	ADP
ijassa-859	11	23	decision	decision	NOUN
ijassa-859	11	24	-	-	PUNCT
ijassa-859	11	25	making	making	NOUN
ijassa-859	11	26	.	.	PUNCT
ijassa-859	12	1	a	a	DET
ijassa-859	12	2	very	very	ADV
ijassa-859	12	3	promising	promising	ADJ
ijassa-859	12	4	direction	direction	NOUN
ijassa-859	12	5	in	in	ADP
ijassa-859	12	6	the	the	DET
ijassa-859	12	7	design	design	NOUN
ijassa-859	12	8	of	of	ADP
ijassa-859	12	9	ugv	ugv	PROPN
ijassa-859	12	10	control	control	NOUN
ijassa-859	12	11	systems	system	NOUN
ijassa-859	12	12	is	be	AUX
ijassa-859	12	13	an	an	DET
ijassa-859	12	14	approach	approach	NOUN
ijassa-859	12	15	based	base	VERB
ijassa-859	12	16	on	on	ADP
ijassa-859	12	17	the	the	DET
ijassa-859	12	18	use	use	NOUN
ijassa-859	12	19	of	of	ADP
ijassa-859	12	20	machine	machine	NOUN
ijassa-859	12	21	learning	learning	NOUN
ijassa-859	12	22	methods	method	NOUN
ijassa-859	12	23	,	,	PUNCT
ijassa-859	12	24	in	in	ADP
ijassa-859	12	25	particular	particular	ADJ
ijassa-859	12	26	,	,	PUNCT
ijassa-859	12	27	reinforced	reinforce	VERB
ijassa-859	12	28	learning	learning	NOUN
ijassa-859	12	29	[	[	X
ijassa-859	12	30	2	2	NUM
ijassa-859	12	31	]	]	PUNCT
ijassa-859	12	32	.	.	PUNCT
ijassa-859	13	1	such	such	ADJ
ijassa-859	13	2	methods	method	NOUN
ijassa-859	13	3	make	make	VERB
ijassa-859	13	4	it	it	PRON
ijassa-859	13	5	possible	possible	ADJ
ijassa-859	13	6	to	to	PART
ijassa-859	13	7	ensure	ensure	VERB
ijassa-859	13	8	an	an	DET
ijassa-859	13	9	effective	effective	ADJ
ijassa-859	13	10	response	response	NOUN
ijassa-859	13	11	of	of	ADP
ijassa-859	13	12	ugv	ugv	NOUN
ijassa-859	13	13	to	to	ADP
ijassa-859	13	14	the	the	DET
ijassa-859	13	15	occurrence	occurrence	NOUN
ijassa-859	13	16	of	of	ADP
ijassa-859	13	17	certain	certain	ADJ
ijassa-859	13	18	situations	situation	NOUN
ijassa-859	13	19	on	on	ADP
ijassa-859	13	20	the	the	DET
ijassa-859	13	21	road	road	NOUN
ijassa-859	13	22	(	(	PUNCT
ijassa-859	13	23	for	for	ADP
ijassa-859	13	24	example	example	NOUN
ijassa-859	13	25	,	,	PUNCT
ijassa-859	13	26	the	the	DET
ijassa-859	13	27	sudden	sudden	ADJ
ijassa-859	13	28	appearance	appearance	NOUN
ijassa-859	13	29	of	of	ADP
ijassa-859	13	30	a	a	DET
ijassa-859	13	31	pedestrian	pedestrian	NOUN
ijassa-859	13	32	)	)	PUNCT
ijassa-859	13	33	.	.	PUNCT
ijassa-859	14	1	at	at	ADP
ijassa-859	14	2	the	the	DET
ijassa-859	14	3	same	same	ADJ
ijassa-859	14	4	time	time	NOUN
ijassa-859	14	5	,	,	PUNCT
ijassa-859	14	6	even	even	ADV
ijassa-859	14	7	the	the	DET
ijassa-859	14	8	use	use	NOUN
ijassa-859	14	9	of	of	ADP
ijassa-859	14	10	multilayer	multilayer	ADJ
ijassa-859	14	11	neural	neural	ADJ
ijassa-859	14	12	networks	network	NOUN
ijassa-859	14	13	with	with	ADP
ijassa-859	14	14	a	a	DET
ijassa-859	14	15	large	large	ADJ
ijassa-859	14	16	number	number	NOUN
ijassa-859	14	17	of	of	ADP
ijassa-859	14	18	neurons	neuron	NOUN
ijassa-859	14	19	and	and	CCONJ
ijassa-859	14	20	synoptic	synoptic	ADJ
ijassa-859	14	21	connections	connection	NOUN
ijassa-859	14	22	(	(	PUNCT
ijassa-859	14	23	deep	deep	ADJ
ijassa-859	14	24	learning	learning	NOUN
ijassa-859	14	25	)	)	PUNCT
ijassa-859	15	1	[	[	X
ijassa-859	15	2	8	8	NUM
ijassa-859	15	3	,	,	PUNCT
ijassa-859	15	4	9	9	NUM
ijassa-859	15	5	]	]	PUNCT
ijassa-859	15	6	,	,	PUNCT
ijassa-859	15	7	the	the	DET
ijassa-859	15	8	use	use	NOUN
ijassa-859	15	9	of	of	ADP
ijassa-859	15	10	ultraprecise	ultraprecise	ADJ
ijassa-859	15	11	neural	neural	ADJ
ijassa-859	15	12	networks	network	NOUN
ijassa-859	15	13	[	[	X
ijassa-859	15	14	10	10	NUM
ijassa-859	15	15	]	]	PUNCT
ijassa-859	15	16	,	,	PUNCT
ijassa-859	15	17	etc	etc	X
ijassa-859	15	18	.	.	X
ijassa-859	15	19	does	do	AUX
ijassa-859	15	20	not	not	PART
ijassa-859	15	21	allow	allow	VERB
ijassa-859	15	22	for	for	ADP
ijassa-859	15	23	zero	zero	NUM
ijassa-859	15	24	learning	learning	NOUN
ijassa-859	15	25	error	error	NOUN
ijassa-859	15	26	in	in	ADP
ijassa-859	15	27	pattern	pattern	NOUN
ijassa-859	15	28	recognition	recognition	NOUN
ijassa-859	15	29	and	and	CCONJ
ijassa-859	15	30	classification	classification	NOUN
ijassa-859	15	31	of	of	ADP
ijassa-859	15	32	moving	move	VERB
ijassa-859	15	33	objects	object	NOUN
ijassa-859	15	34	with	with	ADP
ijassa-859	15	35	complex	complex	ADJ
ijassa-859	15	36	characteristics	characteristic	NOUN
ijassa-859	15	37	.	.	PUNCT
ijassa-859	16	1	therefore	therefore	ADV
ijassa-859	16	2	,	,	PUNCT
ijassa-859	16	3	the	the	DET
ijassa-859	16	4	task	task	NOUN
ijassa-859	16	5	of	of	ADP
ijassa-859	16	6	developing	develop	VERB
ijassa-859	16	7	ugv	ugv	NOUN
ijassa-859	16	8	control	control	NOUN
ijassa-859	16	9	systems	system	NOUN
ijassa-859	16	10	based	base	VERB
ijassa-859	16	11	on	on	ADP
ijassa-859	16	12	simple	simple	ADJ
ijassa-859	16	13	rules	rule	NOUN
ijassa-859	16	14	that	that	PRON
ijassa-859	16	15	take	take	VERB
ijassa-859	16	16	into	into	ADP
ijassa-859	16	17	account	account	NOUN
ijassa-859	16	18	the	the	DET
ijassa-859	16	19	most	most	ADV
ijassa-859	16	20	common	common	ADJ
ijassa-859	16	21	road	road	NOUN
ijassa-859	16	22	situations	situation	NOUN
ijassa-859	16	23	for	for	ADP
ijassa-859	16	24	making	make	VERB
ijassa-859	16	25	effective	effective	ADJ
ijassa-859	16	26	decisions	decision	NOUN
ijassa-859	16	27	about	about	ADP
ijassa-859	16	28	maneuvering	maneuver	VERB
ijassa-859	16	29	,	,	PUNCT
ijassa-859	16	30	changing	change	VERB
ijassa-859	16	31	lanes	lane	NOUN
ijassa-859	16	32	[	[	X
ijassa-859	16	33	4	4	NUM
ijassa-859	16	34	,	,	PUNCT
ijassa-859	16	35	7	7	NUM
ijassa-859	16	36	]	]	PUNCT
ijassa-859	16	37	,	,	PUNCT
ijassa-859	16	38	adjusting	adjust	VERB
ijassa-859	16	39	the	the	DET
ijassa-859	16	40	speed	speed	NOUN
ijassa-859	16	41	and	and	CCONJ
ijassa-859	16	42	direction	direction	NOUN
ijassa-859	16	43	of	of	ADP
ijassa-859	16	44	traffic	traffic	NOUN
ijassa-859	16	45	,	,	PUNCT
ijassa-859	16	46	etc	etc	X
ijassa-859	16	47	.	.	X
ijassa-859	16	48	is	be	AUX
ijassa-859	16	49	urgent	urgent	ADJ
ijassa-859	16	50	.	.	PUNCT
ijassa-859	17	1	such	such	DET
ijassa-859	17	2	a	a	DET
ijassa-859	17	3	task	task	NOUN
ijassa-859	17	4	can	can	AUX
ijassa-859	17	5	be	be	AUX
ijassa-859	17	6	solved	solve	VERB
ijassa-859	17	7	using	use	VERB
ijassa-859	17	8	agent	agent	NOUN
ijassa-859	17	9	-	-	PUNCT
ijassa-859	17	10	based	base	VERB
ijassa-859	17	11	simulation	simulation	NOUN
ijassa-859	17	12	methods	method	NOUN
ijassa-859	17	13	[	[	X
ijassa-859	17	14	6	6	NUM
ijassa-859	17	15	,	,	PUNCT
ijassa-859	17	16	7	7	NUM
ijassa-859	17	17	,	,	PUNCT
ijassa-859	17	18	11	11	NUM
ijassa-859	17	19	,	,	PUNCT
ijassa-859	17	20	12	12	NUM
ijassa-859	17	21	]	]	PUNCT
ijassa-859	17	22	,	,	PUNCT
ijassa-859	17	23	fuzzy	fuzzy	ADJ
ijassa-859	17	24	clustering	clustering	NOUN
ijassa-859	17	25	[	[	X
ijassa-859	17	26	7	7	NUM
ijassa-859	17	27	,	,	PUNCT
ijassa-859	17	28	13	13	NUM
ijassa-859	17	29	,	,	PUNCT
ijassa-859	17	30	14	14	NUM
ijassa-859	17	31	,	,	PUNCT
ijassa-859	17	32	15	15	NUM
ijassa-859	17	33	]	]	PUNCT
ijassa-859	17	34	and	and	CCONJ
ijassa-859	17	35	genetic	genetic	ADJ
ijassa-859	17	36	optimization	optimization	NOUN
ijassa-859	17	37	algorithms	algorithm	NOUN
ijassa-859	17	38	[	[	X
ijassa-859	17	39	16	16	NUM
ijassa-859	17	40	]	]	PUNCT
ijassa-859	17	41	.	.	PUNCT
ijassa-859	18	1	so	so	ADV
ijassa-859	18	2	,	,	PUNCT
ijassa-859	18	3	earlier	early	ADV
ijassa-859	18	4	we	we	PRON
ijassa-859	18	5	developed	develop	VERB
ijassa-859	18	6	and	and	CCONJ
ijassa-859	18	7	implemented	implement	VERB
ijassa-859	18	8	two	two	NUM
ijassa-859	18	9	agent	agent	NOUN
ijassa-859	18	10	-	-	PUNCT
ijassa-859	18	11	based	base	VERB
ijassa-859	18	12	models	model	NOUN
ijassa-859	18	13	of	of	ADP
ijassa-859	18	14	mgv	mgv	NOUN
ijassa-859	18	15	and	and	CCONJ
ijassa-859	18	16	ugv	ugv	NOUN
ijassa-859	18	17	motion	motion	NOUN
ijassa-859	18	18	in	in	ADP
ijassa-859	18	19	anylogic	anylogic	NOUN
ijassa-859	18	20	simulation	simulation	NOUN
ijassa-859	18	21	system	system	NOUN
ijassa-859	18	22	[	[	X
ijassa-859	18	23	6	6	NUM
ijassa-859	18	24	,	,	PUNCT
ijassa-859	18	25	7	7	NUM
ijassa-859	18	26	]	]	PUNCT
ijassa-859	18	27	.	.	PUNCT
ijassa-859	19	1	*	*	PUNCT
ijassa-859	19	2	corresponding	correspond	VERB
ijassa-859	19	3	author	author	NOUN
ijassa-859	19	4	:	:	PUNCT
ijassa-859	19	5	fbelousov@hse.ru	fbelousov@hse.ru	PROPN
ijassa-859	19	6	influence	influence	NOUN
ijassa-859	19	7	of	of	ADP
ijassa-859	19	8	unmanned	unmanned	ADJ
ijassa-859	19	9	vehicles	vehicle	NOUN
ijassa-859	19	10	on	on	ADP
ijassa-859	19	11	the	the	DET
ijassa-859	19	12	state	state	NOUN
ijassa-859	19	13	of	of	ADP
ijassa-859	19	14	the	the	DET
ijassa-859	19	15	transport	transport	NOUN
ijassa-859	19	16	network	network	NOUN
ijassa-859	19	17	45	45	NUM
ijassa-859	19	18	copyright	copyright	NOUN
ijassa-859	19	19	©	©	PROPN
ijassa-859	19	20	2020	2020	NUM
ijassa-859	19	21	assa	assa	NOUN
ijassa-859	19	22	.	.	PUNCT
ijassa-859	20	1	adv	adv	PROPN
ijassa-859	20	2	.	.	PUNCT
ijassa-859	21	1	in	in	ADP
ijassa-859	21	2	systems	system	NOUN
ijassa-859	21	3	science	science	NOUN
ijassa-859	21	4	and	and	CCONJ
ijassa-859	21	5	appl	appl	NOUN
ijassa-859	21	6	.	.	PUNCT
ijassa-859	22	1	(	(	PUNCT
ijassa-859	22	2	2020	2020	NUM
ijassa-859	22	3	)	)	PUNCT
ijassa-859	22	4	the	the	DET
ijassa-859	22	5	first	first	ADJ
ijassa-859	22	6	model	model	NOUN
ijassa-859	22	7	,	,	PUNCT
ijassa-859	22	8	using	use	VERB
ijassa-859	22	9	the	the	DET
ijassa-859	22	10	previously	previously	ADV
ijassa-859	22	11	proposed	propose	VERB
ijassa-859	22	12	phenomenological	phenomenological	ADJ
ijassa-859	22	13	approach	approach	NOUN
ijassa-859	22	14	[	[	X
ijassa-859	22	15	11	11	NUM
ijassa-859	22	16	]	]	PUNCT
ijassa-859	22	17	,	,	PUNCT
ijassa-859	22	18	is	be	AUX
ijassa-859	22	19	designed	design	VERB
ijassa-859	22	20	to	to	PART
ijassa-859	22	21	assess	assess	VERB
ijassa-859	22	22	the	the	DET
ijassa-859	22	23	influence	influence	NOUN
ijassa-859	22	24	of	of	ADP
ijassa-859	22	25	various	various	ADJ
ijassa-859	22	26	parameters	parameter	NOUN
ijassa-859	22	27	(	(	PUNCT
ijassa-859	22	28	such	such	ADJ
ijassa-859	22	29	as	as	ADP
ijassa-859	22	30	average	average	ADJ
ijassa-859	22	31	initial	initial	ADJ
ijassa-859	22	32	speeds	speed	NOUN
ijassa-859	22	33	,	,	PUNCT
ijassa-859	22	34	input	input	NOUN
ijassa-859	22	35	flow	flow	NOUN
ijassa-859	22	36	intensity	intensity	NOUN
ijassa-859	22	37	,	,	PUNCT
ijassa-859	22	38	data	datum	NOUN
ijassa-859	22	39	exchange	exchange	NOUN
ijassa-859	22	40	rate	rate	NOUN
ijassa-859	22	41	between	between	ADP
ijassa-859	22	42	ugv	ugv	NOUN
ijassa-859	22	43	,	,	PUNCT
ijassa-859	22	44	etc	etc	X
ijassa-859	22	45	.	.	X
ijassa-859	22	46	)	)	PUNCT
ijassa-859	23	1	on	on	ADP
ijassa-859	23	2	the	the	DET
ijassa-859	23	3	behavior	behavior	NOUN
ijassa-859	23	4	and	and	CCONJ
ijassa-859	23	5	condition	condition	NOUN
ijassa-859	23	6	of	of	ADP
ijassa-859	23	7	unmanned	unmanned	ADJ
ijassa-859	23	8	and	and	CCONJ
ijassa-859	23	9	manned	manned	ADJ
ijassa-859	23	10	ground	ground	NOUN
ijassa-859	23	11	vehicles	vehicle	NOUN
ijassa-859	23	12	in	in	ADP
ijassa-859	23	13	a	a	DET
ijassa-859	23	14	dense	dense	ADJ
ijassa-859	23	15	flow	flow	NOUN
ijassa-859	23	16	[	[	X
ijassa-859	23	17	6	6	NUM
ijassa-859	23	18	]	]	PUNCT
ijassa-859	23	19	.	.	PUNCT
ijassa-859	24	1	the	the	DET
ijassa-859	24	2	spatial	spatial	ADJ
ijassa-859	24	3	dynamics	dynamic	NOUN
ijassa-859	24	4	of	of	ADP
ijassa-859	24	5	mgv	mgv	NOUN
ijassa-859	24	6	and	and	CCONJ
ijassa-859	24	7	ugv	ugv	NOUN
ijassa-859	24	8	is	be	AUX
ijassa-859	24	9	defined	define	VERB
ijassa-859	24	10	by	by	ADP
ijassa-859	24	11	a	a	DET
ijassa-859	24	12	system	system	NOUN
ijassa-859	24	13	of	of	ADP
ijassa-859	24	14	difference	difference	NOUN
ijassa-859	24	15	equations	equation	NOUN
ijassa-859	24	16	with	with	ADP
ijassa-859	24	17	a	a	DET
ijassa-859	24	18	variable	variable	ADJ
ijassa-859	24	19	structure	structure	NOUN
ijassa-859	24	20	.	.	PUNCT
ijassa-859	25	1	the	the	DET
ijassa-859	25	2	model	model	NOUN
ijassa-859	25	3	takes	take	VERB
ijassa-859	25	4	into	into	ADP
ijassa-859	25	5	account	account	NOUN
ijassa-859	25	6	the	the	DET
ijassa-859	25	7	effects	effect	NOUN
ijassa-859	25	8	of	of	ADP
ijassa-859	25	9	"	"	PUNCT
ijassa-859	25	10	turbulence	turbulence	NOUN
ijassa-859	25	11	"	"	PUNCT
ijassa-859	25	12	and	and	CCONJ
ijassa-859	25	13	"	"	PUNCT
ijassa-859	25	14	traffic	traffic	NOUN
ijassa-859	25	15	congestion	congestion	NOUN
ijassa-859	25	16	"	"	PUNCT
ijassa-859	25	17	caused	cause	VERB
ijassa-859	25	18	mainly	mainly	ADV
ijassa-859	25	19	by	by	ADP
ijassa-859	25	20	high	high	ADJ
ijassa-859	25	21	vehicle	vehicle	NOUN
ijassa-859	25	22	density	density	NOUN
ijassa-859	25	23	and	and	CCONJ
ijassa-859	25	24	occurrence	occurrence	NOUN
ijassa-859	25	25	of	of	ADP
ijassa-859	25	26	road	road	NOUN
ijassa-859	25	27	accidents	accident	NOUN
ijassa-859	25	28	.	.	PUNCT
ijassa-859	26	1	at	at	ADP
ijassa-859	26	2	the	the	DET
ijassa-859	26	3	same	same	ADJ
ijassa-859	26	4	time	time	NOUN
ijassa-859	26	5	,	,	PUNCT
ijassa-859	26	6	effective	effective	ADJ
ijassa-859	26	7	interaction	interaction	NOUN
ijassa-859	26	8	is	be	AUX
ijassa-859	26	9	carried	carry	VERB
ijassa-859	26	10	out	out	ADP
ijassa-859	26	11	between	between	ADP
ijassa-859	26	12	the	the	DET
ijassa-859	26	13	ugv	ugv	NOUN
ijassa-859	26	14	,	,	PUNCT
ijassa-859	26	15	in	in	ADP
ijassa-859	26	16	particular	particular	ADJ
ijassa-859	26	17	,	,	PUNCT
ijassa-859	26	18	periodic	periodic	ADJ
ijassa-859	26	19	exchange	exchange	NOUN
ijassa-859	26	20	of	of	ADP
ijassa-859	26	21	messages	message	NOUN
ijassa-859	26	22	about	about	ADP
ijassa-859	26	23	the	the	DET
ijassa-859	26	24	traffic	traffic	NOUN
ijassa-859	26	25	situation	situation	NOUN
ijassa-859	26	26	(	(	PUNCT
ijassa-859	26	27	for	for	ADP
ijassa-859	26	28	example	example	NOUN
ijassa-859	26	29	,	,	PUNCT
ijassa-859	26	30	about	about	ADP
ijassa-859	26	31	the	the	DET
ijassa-859	26	32	places	place	NOUN
ijassa-859	26	33	where	where	SCONJ
ijassa-859	26	34	accidents	accident	NOUN
ijassa-859	26	35	occur	occur	VERB
ijassa-859	26	36	)	)	PUNCT
ijassa-859	26	37	,	,	PUNCT
ijassa-859	26	38	in	in	ADP
ijassa-859	26	39	order	order	NOUN
ijassa-859	26	40	to	to	PART
ijassa-859	26	41	timely	timely	ADV
ijassa-859	26	42	adjust	adjust	VERB
ijassa-859	26	43	speed	speed	NOUN
ijassa-859	26	44	and	and	CCONJ
ijassa-859	26	45	direction	direction	NOUN
ijassa-859	26	46	of	of	ADP
ijassa-859	26	47	movement	movement	NOUN
ijassa-859	26	48	.	.	PUNCT
ijassa-859	27	1	an	an	DET
ijassa-859	27	2	important	important	ADJ
ijassa-859	27	3	feature	feature	NOUN
ijassa-859	27	4	of	of	ADP
ijassa-859	27	5	this	this	DET
ijassa-859	27	6	model	model	NOUN
ijassa-859	27	7	is	be	AUX
ijassa-859	27	8	the	the	DET
ijassa-859	27	9	proposed	propose	VERB
ijassa-859	27	10	concept	concept	NOUN
ijassa-859	27	11	of	of	ADP
ijassa-859	27	12	the	the	DET
ijassa-859	27	13	agent	agent	NOUN
ijassa-859	27	14	's	's	PART
ijassa-859	27	15	personal	personal	ADJ
ijassa-859	27	16	space	space	NOUN
ijassa-859	27	17	.	.	PUNCT
ijassa-859	28	1	the	the	DET
ijassa-859	28	2	behavior	behavior	NOUN
ijassa-859	28	3	of	of	ADP
ijassa-859	28	4	agents	agent	NOUN
ijassa-859	28	5	(	(	PUNCT
ijassa-859	28	6	mgv	mgv	NOUN
ijassa-859	28	7	and	and	CCONJ
ijassa-859	28	8	ugv	ugv	NOUN
ijassa-859	28	9	)	)	PUNCT
ijassa-859	28	10	in	in	ADP
ijassa-859	28	11	flow	flow	NOUN
ijassa-859	28	12	depends	depend	VERB
ijassa-859	28	13	on	on	ADP
ijassa-859	28	14	density	density	NOUN
ijassa-859	28	15	of	of	ADP
ijassa-859	28	16	the	the	DET
ijassa-859	28	17	surrounding	surround	VERB
ijassa-859	28	18	space	space	NOUN
ijassa-859	28	19	.	.	PUNCT
ijassa-859	29	1	as	as	ADP
ijassa-859	29	2	the	the	DET
ijassa-859	29	3	flow	flow	NOUN
ijassa-859	29	4	density	density	NOUN
ijassa-859	29	5	increases	increase	NOUN
ijassa-859	29	6	,	,	PUNCT
ijassa-859	29	7	the	the	DET
ijassa-859	29	8	radius	radius	NOUN
ijassa-859	29	9	of	of	ADP
ijassa-859	29	10	the	the	DET
ijassa-859	29	11	agent	agent	NOUN
ijassa-859	29	12	's	's	PART
ijassa-859	29	13	personal	personal	ADJ
ijassa-859	29	14	space	space	NOUN
ijassa-859	29	15	is	be	AUX
ijassa-859	29	16	compressed	compress	VERB
ijassa-859	29	17	(	(	PUNCT
ijassa-859	29	18	i.e.	i.e.	X
ijassa-859	29	19	,	,	PUNCT
ijassa-859	29	20	the	the	DET
ijassa-859	29	21	transport	transport	NOUN
ijassa-859	29	22	flow	flow	NOUN
ijassa-859	29	23	is	be	AUX
ijassa-859	29	24	compacted	compact	VERB
ijassa-859	29	25	)	)	PUNCT
ijassa-859	29	26	.	.	PUNCT
ijassa-859	30	1	however	however	ADV
ijassa-859	30	2	,	,	PUNCT
ijassa-859	30	3	after	after	ADP
ijassa-859	30	4	reaching	reach	VERB
ijassa-859	30	5	a	a	DET
ijassa-859	30	6	certain	certain	ADJ
ijassa-859	30	7	threshold	threshold	NOUN
ijassa-859	30	8	value	value	NOUN
ijassa-859	30	9	of	of	ADP
ijassa-859	30	10	density	density	NOUN
ijassa-859	30	11	,	,	PUNCT
ijassa-859	30	12	the	the	DET
ijassa-859	30	13	radius	radius	NOUN
ijassa-859	30	14	of	of	ADP
ijassa-859	30	15	the	the	DET
ijassa-859	30	16	agent	agent	NOUN
ijassa-859	30	17	's	's	PART
ijassa-859	30	18	personal	personal	ADJ
ijassa-859	30	19	space	space	NOUN
ijassa-859	30	20	increases	increase	VERB
ijassa-859	30	21	significantly	significantly	ADV
ijassa-859	30	22	in	in	ADP
ijassa-859	30	23	manned	manned	ADJ
ijassa-859	30	24	ground	ground	NOUN
ijassa-859	30	25	vehicles	vehicle	NOUN
ijassa-859	30	26	,	,	PUNCT
ijassa-859	30	27	due	due	ADP
ijassa-859	30	28	to	to	ADP
ijassa-859	30	29	the	the	DET
ijassa-859	30	30	occurrence	occurrence	NOUN
ijassa-859	30	31	of	of	ADP
ijassa-859	30	32	panic	panic	NOUN
ijassa-859	30	33	,	,	PUNCT
ijassa-859	30	34	and	and	CCONJ
ijassa-859	30	35	partially	partially	ADV
ijassa-859	30	36	increases	increase	VERB
ijassa-859	30	37	in	in	ADP
ijassa-859	30	38	ugv	ugv	NOUN
ijassa-859	30	39	,	,	PUNCT
ijassa-859	30	40	due	due	ADP
ijassa-859	30	41	to	to	ADP
ijassa-859	30	42	a	a	DET
ijassa-859	30	43	predetermined	predetermined	ADJ
ijassa-859	30	44	desire	desire	NOUN
ijassa-859	30	45	to	to	PART
ijassa-859	30	46	avoid	avoid	VERB
ijassa-859	30	47	collision	collision	NOUN
ijassa-859	30	48	in	in	ADP
ijassa-859	30	49	dense	dense	ADJ
ijassa-859	30	50	traffic	traffic	NOUN
ijassa-859	30	51	flow	flow	NOUN
ijassa-859	30	52	.	.	PUNCT
ijassa-859	31	1	fig	fig	NOUN
ijassa-859	31	2	.	.	PUNCT
ijassa-859	32	1	1.1	1.1	NUM
ijassa-859	32	2	.	.	PUNCT
ijassa-859	33	1	configuration	configuration	NOUN
ijassa-859	33	2	of	of	ADP
ijassa-859	33	3	road	road	NOUN
ijassa-859	33	4	space	space	NOUN
ijassa-859	33	5	for	for	ADP
ijassa-859	33	6	mgv	mgv	NOUN
ijassa-859	33	7	and	and	CCONJ
ijassa-859	33	8	ugv	ugv	VERB
ijassa-859	33	9	the	the	DET
ijassa-859	33	10	second	second	ADJ
ijassa-859	33	11	model	model	NOUN
ijassa-859	33	12	is	be	AUX
ijassa-859	33	13	designed	design	VERB
ijassa-859	33	14	for	for	ADP
ijassa-859	33	15	effective	effective	ADJ
ijassa-859	33	16	management	management	NOUN
ijassa-859	33	17	of	of	ADP
ijassa-859	33	18	ugv	ugv	NOUN
ijassa-859	33	19	,	,	PUNCT
ijassa-859	33	20	in	in	ADP
ijassa-859	33	21	particular	particular	ADJ
ijassa-859	33	22	,	,	PUNCT
ijassa-859	33	23	by	by	ADP
ijassa-859	33	24	maneuvering	maneuver	VERB
ijassa-859	33	25	when	when	SCONJ
ijassa-859	33	26	changing	change	VERB
ijassa-859	33	27	lanes	lane	NOUN
ijassa-859	33	28	,	,	PUNCT
ijassa-859	33	29	the	the	DET
ijassa-859	33	30	algorithm	algorithm	NOUN
ijassa-859	33	31	of	of	ADP
ijassa-859	33	32	which	which	PRON
ijassa-859	33	33	is	be	AUX
ijassa-859	33	34	based	base	VERB
ijassa-859	33	35	on	on	ADP
ijassa-859	33	36	the	the	DET
ijassa-859	33	37	proposed	propose	VERB
ijassa-859	33	38	fuzzy	fuzzy	ADJ
ijassa-859	33	39	clustering	clustering	ADJ
ijassa-859	33	40	algorithm	algorithm	NOUN
ijassa-859	34	1	[	[	X
ijassa-859	34	2	7	7	NUM
ijassa-859	34	3	]	]	PUNCT
ijassa-859	34	4	.	.	PUNCT
ijassa-859	35	1	the	the	DET
ijassa-859	35	2	movement	movement	NOUN
ijassa-859	35	3	of	of	ADP
ijassa-859	35	4	the	the	DET
ijassa-859	35	5	mgv	mgv	NOUN
ijassa-859	35	6	and	and	CCONJ
ijassa-859	35	7	ugv	ugv	NOUN
ijassa-859	35	8	ensemble	ensemble	ADJ
ijassa-859	35	9	in	in	ADP
ijassa-859	35	10	a	a	DET
ijassa-859	35	11	certain	certain	ADJ
ijassa-859	35	12	twodimensional	twodimensional	ADJ
ijassa-859	35	13	space	space	NOUN
ijassa-859	35	14	is	be	AUX
ijassa-859	35	15	considered	consider	VERB
ijassa-859	35	16	.	.	PUNCT
ijassa-859	36	1	the	the	DET
ijassa-859	36	2	space	space	NOUN
ijassa-859	36	3	consists	consist	VERB
ijassa-859	36	4	of	of	ADP
ijassa-859	36	5	combination	combination	NOUN
ijassa-859	36	6	of	of	ADP
ijassa-859	36	7	circular	circular	ADJ
ijassa-859	36	8	motion	motion	NOUN
ijassa-859	36	9	,	,	PUNCT
ijassa-859	36	10	two	two	NUM
ijassa-859	36	11	entrances	entrance	NOUN
ijassa-859	36	12	and	and	CCONJ
ijassa-859	36	13	two	two	NUM
ijassa-859	36	14	exits	exit	NOUN
ijassa-859	36	15	from	from	ADP
ijassa-859	36	16	the	the	DET
ijassa-859	36	17	circle	circle	NOUN
ijassa-859	36	18	(	(	PUNCT
ijassa-859	36	19	fig	fig	NOUN
ijassa-859	36	20	.	.	PUNCT
ijassa-859	36	21	1.1	1.1	NUM
ijassa-859	36	22	)	)	PUNCT
ijassa-859	36	23	.	.	PUNCT
ijassa-859	37	1	at	at	ADP
ijassa-859	37	2	the	the	DET
ijassa-859	37	3	same	same	ADJ
ijassa-859	37	4	time	time	NOUN
ijassa-859	37	5	,	,	PUNCT
ijassa-859	37	6	ugv	ugv	NOUN
ijassa-859	37	7	makes	make	VERB
ijassa-859	37	8	individual	individual	ADJ
ijassa-859	37	9	decisions	decision	NOUN
ijassa-859	37	10	about	about	ADP
ijassa-859	37	11	trajectory	trajectory	NOUN
ijassa-859	37	12	adjustment	adjustment	NOUN
ijassa-859	37	13	based	base	VERB
ijassa-859	37	14	on	on	ADP
ijassa-859	37	15	simple	simple	ADJ
ijassa-859	37	16	rules	rule	NOUN
ijassa-859	37	17	.	.	PUNCT
ijassa-859	38	1	if	if	SCONJ
ijassa-859	38	2	there	there	PRON
ijassa-859	38	3	is	be	VERB
ijassa-859	38	4	less	less	ADV
ijassa-859	38	5	dense	dense	ADJ
ijassa-859	38	6	traffic	traffic	NOUN
ijassa-859	38	7	in	in	ADP
ijassa-859	38	8	one	one	NUM
ijassa-859	38	9	of	of	ADP
ijassa-859	38	10	the	the	DET
ijassa-859	38	11	adjacent	adjacent	ADJ
ijassa-859	38	12	lanes	lane	NOUN
ijassa-859	38	13	,	,	PUNCT
ijassa-859	38	14	this	this	DET
ijassa-859	38	15	ugv	ugv	NOUN
ijassa-859	38	16	is	be	AUX
ijassa-859	38	17	tuning	tune	VERB
ijassa-859	38	18	to	to	ADP
ijassa-859	38	19	the	the	DET
ijassa-859	38	20	corresponding	corresponding	ADJ
ijassa-859	38	21	lane	lane	NOUN
ijassa-859	38	22	.	.	PUNCT
ijassa-859	39	1	in	in	ADP
ijassa-859	39	2	this	this	DET
ijassa-859	39	3	case	case	NOUN
ijassa-859	39	4	,	,	PUNCT
ijassa-859	39	5	the	the	DET
ijassa-859	39	6	flow	flow	NOUN
ijassa-859	39	7	density	density	NOUN
ijassa-859	39	8	is	be	AUX
ijassa-859	39	9	estimated	estimate	VERB
ijassa-859	39	10	using	use	VERB
ijassa-859	39	11	fuzzy	fuzzy	ADJ
ijassa-859	39	12	clustering	clustering	ADJ
ijassa-859	39	13	methods	method	NOUN
ijassa-859	39	14	for	for	ADP
ijassa-859	39	15	each	each	PRON
ijassa-859	39	16	of	of	ADP
ijassa-859	39	17	the	the	DET
ijassa-859	39	18	available	available	ADJ
ijassa-859	39	19	alternatives	alternative	NOUN
ijassa-859	39	20	(	(	PUNCT
ijassa-859	39	21	lanes	lane	NOUN
ijassa-859	39	22	)	)	PUNCT
ijassa-859	39	23	across	across	ADP
ijassa-859	39	24	the	the	DET
ijassa-859	39	25	entire	entire	ADJ
ijassa-859	39	26	ensemble	ensemble	NOUN
ijassa-859	39	27	of	of	ADP
ijassa-859	39	28	vehicles	vehicle	NOUN
ijassa-859	39	29	(	(	PUNCT
ijassa-859	39	30	both	both	CCONJ
ijassa-859	39	31	ugv	ugv	NOUN
ijassa-859	39	32	and	and	CCONJ
ijassa-859	39	33	manned	manned	ADJ
ijassa-859	39	34	ground	ground	NOUN
ijassa-859	39	35	vehicles	vehicle	NOUN
ijassa-859	39	36	that	that	PRON
ijassa-859	39	37	do	do	AUX
ijassa-859	39	38	not	not	PART
ijassa-859	39	39	have	have	VERB
ijassa-859	39	40	all	all	DET
ijassa-859	39	41	the	the	DET
ijassa-859	39	42	information	information	NOUN
ijassa-859	39	43	about	about	ADP
ijassa-859	39	44	the	the	DET
ijassa-859	39	45	density	density	NOUN
ijassa-859	39	46	of	of	ADP
ijassa-859	39	47	the	the	DET
ijassa-859	39	48	surrounding	surround	VERB
ijassa-859	39	49	space	space	NOUN
ijassa-859	39	50	)	)	PUNCT
ijassa-859	39	51	.	.	PUNCT
ijassa-859	40	1	as	as	ADP
ijassa-859	40	2	a	a	DET
ijassa-859	40	3	result	result	NOUN
ijassa-859	40	4	,	,	PUNCT
ijassa-859	40	5	adaptive	adaptive	ADJ
ijassa-859	40	6	ugv	ugv	NOUN
ijassa-859	40	7	management	management	NOUN
ijassa-859	40	8	is	be	AUX
ijassa-859	40	9	supported	support	VERB
ijassa-859	40	10	,	,	PUNCT
ijassa-859	40	11	which	which	PRON
ijassa-859	40	12	minimizes	minimize	VERB
ijassa-859	40	13	the	the	DET
ijassa-859	40	14	risks	risk	NOUN
ijassa-859	40	15	of	of	ADP
ijassa-859	40	16	accidents	accident	NOUN
ijassa-859	40	17	(	(	PUNCT
ijassa-859	40	18	accidents	accident	NOUN
ijassa-859	40	19	involving	involve	VERB
ijassa-859	40	20	ugv	ugv	NOUN
ijassa-859	40	21	)	)	PUNCT
ijassa-859	40	22	and	and	CCONJ
ijassa-859	40	23	maximizes	maximize	VERB
ijassa-859	40	24	traffic	traffic	NOUN
ijassa-859	40	25	(	(	PUNCT
ijassa-859	40	26	total	total	ADJ
ijassa-859	40	27	output	output	NOUN
ijassa-859	40	28	stream	stream	NOUN
ijassa-859	40	29	)	)	PUNCT
ijassa-859	40	30	in	in	ADP
ijassa-859	40	31	conditions	condition	NOUN
ijassa-859	40	32	of	of	ADP
ijassa-859	40	33	heavy	heavy	ADJ
ijassa-859	40	34	traffic	traffic	NOUN
ijassa-859	40	35	flow	flow	NOUN
ijassa-859	40	36	.	.	PUNCT
ijassa-859	41	1	software	software	NOUN
ijassa-859	41	2	implementation	implementation	NOUN
ijassa-859	41	3	in	in	ADP
ijassa-859	41	4	anylogic	anylogic	NOUN
ijassa-859	41	5	of	of	ADP
ijassa-859	41	6	the	the	DET
ijassa-859	41	7	developed	develop	VERB
ijassa-859	41	8	simulation	simulation	NOUN
ijassa-859	41	9	model	model	NOUN
ijassa-859	41	10	was	be	AUX
ijassa-859	41	11	performed	perform	VERB
ijassa-859	41	12	and	and	CCONJ
ijassa-859	41	13	numerical	numerical	ADJ
ijassa-859	41	14	experiments	experiment	NOUN
ijassa-859	41	15	were	be	AUX
ijassa-859	41	16	carried	carry	VERB
ijassa-859	41	17	out	out	ADP
ijassa-859	41	18	.	.	PUNCT
ijassa-859	42	1	modes	mode	NOUN
ijassa-859	42	2	that	that	PRON
ijassa-859	42	3	ensure	ensure	VERB
ijassa-859	42	4	safe	safe	ADJ
ijassa-859	42	5	and	and	CCONJ
ijassa-859	42	6	highspeed	highspeed	NOUN
ijassa-859	42	7	movement	movement	NOUN
ijassa-859	42	8	of	of	ADP
ijassa-859	42	9	vehicles	vehicle	NOUN
ijassa-859	42	10	in	in	ADP
ijassa-859	42	11	dense	dense	ADJ
ijassa-859	42	12	traffic	traffic	NOUN
ijassa-859	42	13	flow	flow	NOUN
ijassa-859	42	14	are	be	AUX
ijassa-859	42	15	found	find	VERB
ijassa-859	42	16	(	(	PUNCT
ijassa-859	42	17	fig	fig	NOUN
ijassa-859	42	18	.	.	PUNCT
ijassa-859	43	1	1.2	1.2	NUM
ijassa-859	43	2	)	)	PUNCT
ijassa-859	43	3	.	.	PUNCT
ijassa-859	44	1	the	the	DET
ijassa-859	44	2	developed	develop	VERB
ijassa-859	44	3	system	system	NOUN
ijassa-859	44	4	(	(	PUNCT
ijassa-859	44	5	fig	fig	NOUN
ijassa-859	44	6	.	.	PUNCT
ijassa-859	44	7	1.2	1.2	NUM
ijassa-859	44	8	)	)	PUNCT
ijassa-859	44	9	allows	allow	VERB
ijassa-859	44	10	us	we	PRON
ijassa-859	44	11	to	to	PART
ijassa-859	44	12	evaluate	evaluate	VERB
ijassa-859	44	13	influence	influence	NOUN
ijassa-859	44	14	of	of	ADP
ijassa-859	44	15	multiple	multiple	ADJ
ijassa-859	44	16	control	control	NOUN
ijassa-859	44	17	parameters	parameter	NOUN
ijassa-859	44	18	(	(	PUNCT
ijassa-859	44	19	for	for	ADP
ijassa-859	44	20	example	example	NOUN
ijassa-859	44	21	,	,	PUNCT
ijassa-859	44	22	average	average	ADJ
ijassa-859	44	23	speeds	speed	NOUN
ijassa-859	44	24	of	of	ADP
ijassa-859	44	25	mgv	mgv	NOUN
ijassa-859	44	26	and	and	CCONJ
ijassa-859	44	27	ugv	ugv	NOUN
ijassa-859	44	28	,	,	PUNCT
ijassa-859	44	29	intensities	intensity	NOUN
ijassa-859	44	30	of	of	ADP
ijassa-859	44	31	input	input	NOUN
ijassa-859	44	32	flows	flow	NOUN
ijassa-859	44	33	of	of	ADP
ijassa-859	44	34	mgv	mgv	NOUN
ijassa-859	44	35	and	and	CCONJ
ijassa-859	44	36	ugv	ugv	NOUN
ijassa-859	44	37	,	,	PUNCT
ijassa-859	44	38	etc	etc	X
ijassa-859	44	39	.	.	X
ijassa-859	44	40	)	)	PUNCT
ijassa-859	45	1	on	on	ADP
ijassa-859	45	2	the	the	DET
ijassa-859	45	3	total	total	ADJ
ijassa-859	45	4	number	number	NOUN
ijassa-859	45	5	of	of	ADP
ijassa-859	45	6	accidents	accident	NOUN
ijassa-859	45	7	and	and	CCONJ
ijassa-859	45	8	traffic	traffic	NOUN
ijassa-859	45	9	of	of	ADP
ijassa-859	45	10	the	the	DET
ijassa-859	45	11	output	output	NOUN
ijassa-859	45	12	stream	stream	NOUN
ijassa-859	45	13	.	.	PUNCT
ijassa-859	46	1	46	46	NUM
ijassa-859	46	2	a.	a.	NOUN
ijassa-859	46	3	akopov	akopov	PROPN
ijassa-859	46	4	,	,	PUNCT
ijassa-859	46	5	n.	n.	PROPN
ijassa-859	46	6	khachatryan	khachatryan	PROPN
ijassa-859	46	7	,	,	PUNCT
ijassa-859	46	8	f.	f.	PROPN
ijassa-859	46	9	belousov	belousov	PROPN
ijassa-859	46	10	copyright	copyright	NOUN
ijassa-859	46	11	©	©	PROPN
ijassa-859	46	12	2020	2020	NUM
ijassa-859	46	13	assa	assa	PROPN
ijassa-859	46	14	adv	adv	PROPN
ijassa-859	46	15	.	.	PUNCT
ijassa-859	47	1	in	in	ADP
ijassa-859	47	2	systems	system	NOUN
ijassa-859	47	3	science	science	NOUN
ijassa-859	47	4	and	and	CCONJ
ijassa-859	47	5	appl	appl	NOUN
ijassa-859	47	6	.	.	PUNCT
ijassa-859	48	1	(	(	PUNCT
ijassa-859	48	2	2020	2020	NUM
ijassa-859	48	3	)	)	PUNCT
ijassa-859	48	4	fig	fig	NOUN
ijassa-859	48	5	.	.	PUNCT
ijassa-859	49	1	1.2	1.2	NUM
ijassa-859	49	2	.	.	PUNCT
ijassa-859	49	3	software	software	NOUN
ijassa-859	49	4	implementation	implementation	NOUN
ijassa-859	49	5	of	of	ADP
ijassa-859	49	6	the	the	DET
ijassa-859	49	7	model	model	NOUN
ijassa-859	49	8	in	in	ADP
ijassa-859	49	9	anylogic	anylogic	NOUN
ijassa-859	49	10	simulation	simulation	NOUN
ijassa-859	49	11	system	system	NOUN
ijassa-859	49	12	this	this	DET
ijassa-859	49	13	work	work	NOUN
ijassa-859	49	14	is	be	AUX
ijassa-859	49	15	devoted	devote	VERB
ijassa-859	49	16	to	to	ADP
ijassa-859	49	17	the	the	DET
ijassa-859	49	18	analysis	analysis	NOUN
ijassa-859	49	19	of	of	ADP
ijassa-859	49	20	the	the	DET
ijassa-859	49	21	results	result	NOUN
ijassa-859	49	22	of	of	ADP
ijassa-859	49	23	experiments	experiment	NOUN
ijassa-859	49	24	conducted	conduct	VERB
ijassa-859	49	25	with	with	ADP
ijassa-859	49	26	these	these	DET
ijassa-859	49	27	models	model	NOUN
ijassa-859	49	28	.	.	PUNCT
ijassa-859	50	1	the	the	DET
ijassa-859	50	2	main	main	ADJ
ijassa-859	50	3	task	task	NOUN
ijassa-859	50	4	of	of	ADP
ijassa-859	50	5	this	this	DET
ijassa-859	50	6	analysis	analysis	NOUN
ijassa-859	50	7	is	be	AUX
ijassa-859	50	8	to	to	PART
ijassa-859	50	9	study	study	VERB
ijassa-859	50	10	dependence	dependence	NOUN
ijassa-859	50	11	of	of	ADP
ijassa-859	50	12	the	the	DET
ijassa-859	50	13	output	output	NOUN
ijassa-859	50	14	stream	stream	NOUN
ijassa-859	50	15	traffic	traffic	NOUN
ijassa-859	50	16	and	and	CCONJ
ijassa-859	50	17	the	the	DET
ijassa-859	50	18	number	number	NOUN
ijassa-859	50	19	of	of	ADP
ijassa-859	50	20	accidents	accident	NOUN
ijassa-859	50	21	on	on	ADP
ijassa-859	50	22	model	model	NOUN
ijassa-859	50	23	parameters	parameter	NOUN
ijassa-859	50	24	such	such	ADJ
ijassa-859	50	25	as	as	ADP
ijassa-859	50	26	average	average	ADJ
ijassa-859	50	27	vehicle	vehicle	NOUN
ijassa-859	50	28	speed	speed	NOUN
ijassa-859	50	29	,	,	PUNCT
ijassa-859	50	30	input	input	NOUN
ijassa-859	50	31	stream	stream	NOUN
ijassa-859	50	32	intensity	intensity	NOUN
ijassa-859	50	33	,	,	PUNCT
ijassa-859	50	34	message	message	NOUN
ijassa-859	50	35	exchange	exchange	NOUN
ijassa-859	50	36	frequency	frequency	NOUN
ijassa-859	50	37	between	between	ADP
ijassa-859	50	38	ugv	ugv	NOUN
ijassa-859	50	39	,	,	PUNCT
ijassa-859	50	40	and	and	CCONJ
ijassa-859	50	41	the	the	DET
ijassa-859	50	42	impact	impact	NOUN
ijassa-859	50	43	of	of	ADP
ijassa-859	50	44	the	the	DET
ijassa-859	50	45	effect	effect	NOUN
ijassa-859	50	46	obtained	obtain	VERB
ijassa-859	50	47	from	from	ADP
ijassa-859	50	48	the	the	DET
ijassa-859	50	49	implementation	implementation	NOUN
ijassa-859	50	50	into	into	ADP
ijassa-859	50	51	ugv	ugv	NOUN
ijassa-859	50	52	ability	ability	NOUN
ijassa-859	50	53	of	of	ADP
ijassa-859	50	54	intelligent	intelligent	ADJ
ijassa-859	50	55	estimation	estimation	NOUN
ijassa-859	50	56	of	of	ADP
ijassa-859	50	57	traffic	traffic	NOUN
ijassa-859	50	58	flow	flow	NOUN
ijassa-859	50	59	density	density	NOUN
ijassa-859	50	60	.	.	PUNCT
ijassa-859	51	1	to	to	PART
ijassa-859	51	2	do	do	VERB
ijassa-859	51	3	this	this	PRON
ijassa-859	51	4	,	,	PUNCT
ijassa-859	51	5	a	a	DET
ijassa-859	51	6	pool	pool	NOUN
ijassa-859	51	7	of	of	ADP
ijassa-859	51	8	identical	identical	ADJ
ijassa-859	51	9	experiments	experiment	NOUN
ijassa-859	51	10	was	be	AUX
ijassa-859	51	11	conducted	conduct	VERB
ijassa-859	51	12	within	within	ADP
ijassa-859	51	13	each	each	DET
ijassa-859	51	14	model	model	NOUN
ijassa-859	51	15	.	.	PUNCT
ijassa-859	52	1	a	a	DET
ijassa-859	52	2	set	set	NOUN
ijassa-859	52	3	of	of	ADP
ijassa-859	52	4	experiments	experiment	NOUN
ijassa-859	52	5	is	be	AUX
ijassa-859	52	6	formed	form	VERB
ijassa-859	52	7	as	as	ADP
ijassa-859	52	8	a	a	DET
ijassa-859	52	9	result	result	NOUN
ijassa-859	52	10	of	of	ADP
ijassa-859	52	11	multiple	multiple	ADJ
ijassa-859	52	12	runs	run	NOUN
ijassa-859	52	13	of	of	ADP
ijassa-859	52	14	the	the	DET
ijassa-859	52	15	model	model	NOUN
ijassa-859	52	16	,	,	PUNCT
ijassa-859	52	17	in	in	ADP
ijassa-859	52	18	each	each	PRON
ijassa-859	52	19	of	of	ADP
ijassa-859	52	20	which	which	PRON
ijassa-859	52	21	the	the	DET
ijassa-859	52	22	specified	specified	ADJ
ijassa-859	52	23	model	model	NOUN
ijassa-859	52	24	parameters	parameter	NOUN
ijassa-859	52	25	take	take	VERB
ijassa-859	52	26	values	value	NOUN
ijassa-859	52	27	in	in	ADP
ijassa-859	52	28	a	a	DET
ijassa-859	52	29	given	give	VERB
ijassa-859	52	30	range	range	NOUN
ijassa-859	52	31	with	with	ADP
ijassa-859	52	32	a	a	DET
ijassa-859	52	33	given	give	VERB
ijassa-859	52	34	step	step	NOUN
ijassa-859	52	35	.	.	PUNCT
ijassa-859	53	1	finally	finally	ADV
ijassa-859	53	2	,	,	PUNCT
ijassa-859	53	3	a	a	DET
ijassa-859	53	4	database	database	NOUN
ijassa-859	53	5	consisting	consist	VERB
ijassa-859	53	6	of	of	ADP
ijassa-859	53	7	the	the	DET
ijassa-859	53	8	results	result	NOUN
ijassa-859	53	9	of	of	ADP
ijassa-859	53	10	more	more	ADJ
ijassa-859	53	11	than	than	ADP
ijassa-859	53	12	one	one	NUM
ijassa-859	53	13	hundred	hundred	NUM
ijassa-859	53	14	thousand	thousand	NUM
ijassa-859	53	15	experiments	experiment	NOUN
ijassa-859	53	16	is	be	AUX
ijassa-859	53	17	formed	form	VERB
ijassa-859	53	18	for	for	ADP
ijassa-859	53	19	each	each	DET
ijassa-859	53	20	model	model	NOUN
ijassa-859	53	21	.	.	PUNCT
ijassa-859	54	1	based	base	VERB
ijassa-859	54	2	on	on	ADP
ijassa-859	54	3	these	these	DET
ijassa-859	54	4	results	result	NOUN
ijassa-859	54	5	,	,	PUNCT
ijassa-859	54	6	an	an	DET
ijassa-859	54	7	econometric	econometric	ADJ
ijassa-859	54	8	analysis	analysis	NOUN
ijassa-859	54	9	was	be	AUX
ijassa-859	54	10	carried	carry	VERB
ijassa-859	54	11	out	out	ADP
ijassa-859	54	12	:	:	PUNCT
ijassa-859	54	13	the	the	DET
ijassa-859	54	14	dependence	dependence	NOUN
ijassa-859	54	15	of	of	ADP
ijassa-859	54	16	the	the	DET
ijassa-859	54	17	output	output	NOUN
ijassa-859	54	18	stream	stream	NOUN
ijassa-859	54	19	traffic	traffic	NOUN
ijassa-859	54	20	and	and	CCONJ
ijassa-859	54	21	the	the	DET
ijassa-859	54	22	number	number	NOUN
ijassa-859	54	23	accidents	accident	NOUN
ijassa-859	54	24	on	on	ADP
ijassa-859	54	25	the	the	DET
ijassa-859	54	26	parameters	parameter	NOUN
ijassa-859	54	27	in	in	ADP
ijassa-859	54	28	both	both	CCONJ
ijassa-859	54	29	the	the	DET
ijassa-859	54	30	first	first	ADJ
ijassa-859	54	31	and	and	CCONJ
ijassa-859	54	32	second	second	ADJ
ijassa-859	54	33	models	model	NOUN
ijassa-859	54	34	was	be	AUX
ijassa-859	54	35	studied	study	VERB
ijassa-859	54	36	.	.	PUNCT
ijassa-859	55	1	also	also	ADV
ijassa-859	55	2	the	the	DET
ijassa-859	55	3	effect	effect	NOUN
ijassa-859	55	4	obtained	obtain	VERB
ijassa-859	55	5	as	as	ADP
ijassa-859	55	6	a	a	DET
ijassa-859	55	7	result	result	NOUN
ijassa-859	55	8	of	of	ADP
ijassa-859	55	9	the	the	DET
ijassa-859	55	10	introduction	introduction	NOUN
ijassa-859	55	11	of	of	ADP
ijassa-859	55	12	ugv	ugv	NOUN
ijassa-859	55	13	with	with	ADP
ijassa-859	55	14	the	the	DET
ijassa-859	55	15	ability	ability	NOUN
ijassa-859	55	16	to	to	PART
ijassa-859	55	17	intelligently	intelligently	ADV
ijassa-859	55	18	assess	assess	VERB
ijassa-859	55	19	the	the	DET
ijassa-859	55	20	density	density	NOUN
ijassa-859	55	21	of	of	ADP
ijassa-859	55	22	road	road	NOUN
ijassa-859	55	23	traffic	traffic	NOUN
ijassa-859	55	24	,	,	PUNCT
ijassa-859	55	25	consisting	consist	VERB
ijassa-859	55	26	in	in	ADP
ijassa-859	55	27	increasing	increase	VERB
ijassa-859	55	28	the	the	DET
ijassa-859	55	29	output	output	NOUN
ijassa-859	55	30	stream	stream	NOUN
ijassa-859	55	31	traffic	traffic	NOUN
ijassa-859	55	32	and	and	CCONJ
ijassa-859	55	33	reducing	reduce	VERB
ijassa-859	55	34	the	the	DET
ijassa-859	55	35	number	number	NOUN
ijassa-859	55	36	of	of	ADP
ijassa-859	55	37	accidents	accident	NOUN
ijassa-859	55	38	,	,	PUNCT
ijassa-859	55	39	was	be	AUX
ijassa-859	55	40	estimated	estimate	VERB
ijassa-859	55	41	.	.	PUNCT
ijassa-859	56	1	2	2	X
ijassa-859	56	2	.	.	X
ijassa-859	56	3	source	source	NOUN
ijassa-859	56	4	data	datum	NOUN
ijassa-859	56	5	,	,	PUNCT
ijassa-859	56	6	primary	primary	ADJ
ijassa-859	56	7	data	datum	NOUN
ijassa-859	56	8	analysis	analysis	NOUN
ijassa-859	56	9	this	this	DET
ijassa-859	56	10	paper	paper	NOUN
ijassa-859	56	11	uses	use	VERB
ijassa-859	56	12	data	datum	NOUN
ijassa-859	56	13	obtained	obtain	VERB
ijassa-859	56	14	from	from	ADP
ijassa-859	56	15	a	a	DET
ijassa-859	56	16	pool	pool	NOUN
ijassa-859	56	17	of	of	ADP
ijassa-859	56	18	experiments	experiment	NOUN
ijassa-859	56	19	with	with	ADP
ijassa-859	56	20	each	each	PRON
ijassa-859	56	21	of	of	ADP
ijassa-859	56	22	the	the	DET
ijassa-859	56	23	two	two	NUM
ijassa-859	56	24	agent	agent	NOUN
ijassa-859	56	25	-	-	PUNCT
ijassa-859	56	26	based	base	VERB
ijassa-859	56	27	models	model	NOUN
ijassa-859	56	28	[	[	X
ijassa-859	56	29	6	6	NUM
ijassa-859	56	30	,	,	PUNCT
ijassa-859	56	31	7	7	NUM
ijassa-859	56	32	]	]	PUNCT
ijassa-859	56	33	that	that	PRON
ijassa-859	56	34	describe	describe	VERB
ijassa-859	56	35	the	the	DET
ijassa-859	56	36	movement	movement	NOUN
ijassa-859	56	37	of	of	ADP
ijassa-859	56	38	vehicles	vehicle	NOUN
ijassa-859	56	39	,	,	PUNCT
ijassa-859	56	40	both	both	PRON
ijassa-859	56	41	manned	manned	ADJ
ijassa-859	56	42	and	and	CCONJ
ijassa-859	56	43	unmanned	unmanned	ADJ
ijassa-859	56	44	,	,	PUNCT
ijassa-859	56	45	in	in	ADP
ijassa-859	56	46	a	a	DET
ijassa-859	56	47	given	give	VERB
ijassa-859	56	48	section	section	NOUN
ijassa-859	56	49	of	of	ADP
ijassa-859	56	50	circular	circular	ADJ
ijassa-859	56	51	motion	motion	NOUN
ijassa-859	56	52	.	.	PUNCT
ijassa-859	57	1	in	in	ADP
ijassa-859	57	2	these	these	DET
ijassa-859	57	3	experiments	experiment	NOUN
ijassa-859	57	4	,	,	PUNCT
ijassa-859	57	5	such	such	ADJ
ijassa-859	57	6	traffic	traffic	NOUN
ijassa-859	57	7	characteristics	characteristic	NOUN
ijassa-859	57	8	as	as	ADP
ijassa-859	57	9	the	the	DET
ijassa-859	57	10	output	output	NOUN
ijassa-859	57	11	stream	stream	NOUN
ijassa-859	57	12	traffic	traffic	NOUN
ijassa-859	57	13	and	and	CCONJ
ijassa-859	57	14	the	the	DET
ijassa-859	57	15	number	number	NOUN
ijassa-859	57	16	of	of	ADP
ijassa-859	57	17	traffic	traffic	NOUN
ijassa-859	57	18	accidents	accident	NOUN
ijassa-859	57	19	over	over	ADP
ijassa-859	57	20	a	a	DET
ijassa-859	57	21	certain	certain	ADJ
ijassa-859	57	22	period	period	NOUN
ijassa-859	57	23	of	of	ADP
ijassa-859	57	24	time	time	NOUN
ijassa-859	57	25	,	,	PUNCT
ijassa-859	57	26	which	which	PRON
ijassa-859	57	27	act	act	VERB
ijassa-859	57	28	as	as	ADP
ijassa-859	57	29	dependent	dependent	ADJ
ijassa-859	57	30	variables	variable	NOUN
ijassa-859	57	31	,	,	PUNCT
ijassa-859	57	32	were	be	AUX
ijassa-859	57	33	calculated	calculate	VERB
ijassa-859	57	34	.	.	PUNCT
ijassa-859	58	1	the	the	DET
ijassa-859	58	2	following	follow	VERB
ijassa-859	58	3	parameters	parameter	NOUN
ijassa-859	58	4	of	of	ADP
ijassa-859	58	5	agent	agent	NOUN
ijassa-859	58	6	-	-	PUNCT
ijassa-859	58	7	based	base	VERB
ijassa-859	58	8	models	model	NOUN
ijassa-859	58	9	are	be	AUX
ijassa-859	58	10	explanatory	explanatory	ADJ
ijassa-859	58	11	variables	variable	NOUN
ijassa-859	58	12	:	:	PUNCT
ijassa-859	58	13	•	•	NUM
ijassa-859	58	14	intensityofunсrewedvehicles	intensityofunсrewedvehicle	NOUN
ijassa-859	58	15	–	–	PUNCT
ijassa-859	58	16	intensity	intensity	NOUN
ijassa-859	58	17	of	of	ADP
ijassa-859	58	18	entry	entry	NOUN
ijassa-859	58	19	of	of	ADP
ijassa-859	58	20	ugv	ugv	NOUN
ijassa-859	58	21	to	to	ADP
ijassa-859	58	22	the	the	DET
ijassa-859	58	23	specified	specified	ADJ
ijassa-859	58	24	section	section	NOUN
ijassa-859	58	25	of	of	ADP
ijassa-859	58	26	circular	circular	ADJ
ijassa-859	58	27	motion	motion	NOUN
ijassa-859	58	28	(	(	PUNCT
ijassa-859	58	29	in	in	ADP
ijassa-859	58	30	units	unit	NOUN
ijassa-859	58	31	of	of	ADP
ijassa-859	58	32	model	model	NOUN
ijassa-859	58	33	time	time	NOUN
ijassa-859	58	34	)	)	PUNCT
ijassa-859	58	35	;	;	PUNCT
ijassa-859	58	36	•	•	NUM
ijassa-859	58	37	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	58	38	–	–	PUNCT
ijassa-859	58	39	intensity	intensity	NOUN
ijassa-859	58	40	of	of	ADP
ijassa-859	58	41	entry	entry	NOUN
ijassa-859	58	42	of	of	ADP
ijassa-859	58	43	mgv	mgv	NOUN
ijassa-859	58	44	to	to	ADP
ijassa-859	58	45	the	the	DET
ijassa-859	58	46	specified	specified	ADJ
ijassa-859	58	47	section	section	NOUN
ijassa-859	58	48	of	of	ADP
ijassa-859	58	49	circular	circular	ADJ
ijassa-859	58	50	motion	motion	NOUN
ijassa-859	58	51	(	(	PUNCT
ijassa-859	58	52	in	in	ADP
ijassa-859	58	53	units	unit	NOUN
ijassa-859	58	54	of	of	ADP
ijassa-859	58	55	model	model	NOUN
ijassa-859	58	56	time	time	NOUN
ijassa-859	58	57	)	)	PUNCT
ijassa-859	58	58	;	;	PUNCT
ijassa-859	58	59	•	•	NUM
ijassa-859	58	60	speedofuncrewedvehicles	speedofuncrewedvehicle	NOUN
ijassa-859	58	61	–	–	PUNCT
ijassa-859	58	62	average	average	ADJ
ijassa-859	58	63	ugv	ugv	NOUN
ijassa-859	58	64	speed	speed	NOUN
ijassa-859	58	65	(	(	PUNCT
ijassa-859	58	66	km	km	NOUN
ijassa-859	58	67	/	/	SYM
ijassa-859	58	68	h	h	NOUN
ijassa-859	58	69	)	)	PUNCT
ijassa-859	58	70	;	;	PUNCT
ijassa-859	58	71	•	•	NUM
ijassa-859	58	72	speedofusualagents	speedofusualagent	NOUN
ijassa-859	58	73	–	–	PUNCT
ijassa-859	58	74	average	average	ADJ
ijassa-859	58	75	mgv	mgv	NOUN
ijassa-859	58	76	speed	speed	NOUN
ijassa-859	58	77	(	(	PUNCT
ijassa-859	58	78	km	km	NOUN
ijassa-859	58	79	/	/	SYM
ijassa-859	58	80	h	h	NOUN
ijassa-859	58	81	)	)	PUNCT
ijassa-859	58	82	;	;	PUNCT
ijassa-859	58	83	•	•	NUM
ijassa-859	58	84	intensityofconnections	intensityofconnection	NOUN
ijassa-859	58	85	–	–	PUNCT
ijassa-859	58	86	intensity	intensity	NOUN
ijassa-859	58	87	of	of	ADP
ijassa-859	58	88	messaging	messaging	NOUN
ijassa-859	58	89	between	between	ADP
ijassa-859	58	90	ugv	ugv	NOUN
ijassa-859	58	91	(	(	PUNCT
ijassa-859	58	92	in	in	ADP
ijassa-859	58	93	units	unit	NOUN
ijassa-859	58	94	of	of	ADP
ijassa-859	58	95	model	model	NOUN
ijassa-859	58	96	time	time	NOUN
ijassa-859	58	97	)	)	PUNCT
ijassa-859	58	98	.	.	PUNCT
ijassa-859	59	1	as	as	SCONJ
ijassa-859	59	2	noted	note	VERB
ijassa-859	59	3	in	in	ADP
ijassa-859	59	4	the	the	DET
ijassa-859	59	5	introduction	introduction	NOUN
ijassa-859	59	6	,	,	PUNCT
ijassa-859	59	7	lot	lot	NOUN
ijassa-859	59	8	of	of	ADP
ijassa-859	59	9	experiments	experiment	NOUN
ijassa-859	59	10	are	be	AUX
ijassa-859	59	11	formed	form	VERB
ijassa-859	59	12	as	as	ADP
ijassa-859	59	13	a	a	DET
ijassa-859	59	14	result	result	NOUN
ijassa-859	59	15	of	of	ADP
ijassa-859	59	16	multiple	multiple	ADJ
ijassa-859	59	17	runs	run	NOUN
ijassa-859	59	18	of	of	ADP
ijassa-859	59	19	the	the	DET
ijassa-859	59	20	model	model	NOUN
ijassa-859	59	21	implemented	implement	VERB
ijassa-859	59	22	in	in	ADP
ijassa-859	59	23	anylogic	anylogic	NOUN
ijassa-859	59	24	using	use	VERB
ijassa-859	59	25	the	the	DET
ijassa-859	59	26	special	special	ADJ
ijassa-859	59	27	option	option	NOUN
ijassa-859	59	28	“	"	PUNCT
ijassa-859	59	29	sensitivity	sensitivity	NOUN
ijassa-859	59	30	analysis	analysis	NOUN
ijassa-859	59	31	”	"	PUNCT
ijassa-859	59	32	.	.	PUNCT
ijassa-859	60	1	in	in	ADP
ijassa-859	60	2	this	this	DET
ijassa-859	60	3	case	case	NOUN
ijassa-859	60	4	,	,	PUNCT
ijassa-859	60	5	influence	influence	NOUN
ijassa-859	60	6	of	of	ADP
ijassa-859	60	7	unmanned	unmanned	ADJ
ijassa-859	60	8	vehicles	vehicle	NOUN
ijassa-859	60	9	on	on	ADP
ijassa-859	60	10	the	the	DET
ijassa-859	60	11	state	state	NOUN
ijassa-859	60	12	of	of	ADP
ijassa-859	60	13	the	the	DET
ijassa-859	60	14	transport	transport	NOUN
ijassa-859	60	15	network	network	NOUN
ijassa-859	60	16	47	47	NUM
ijassa-859	60	17	copyright	copyright	NOUN
ijassa-859	60	18	©	©	PROPN
ijassa-859	60	19	2020	2020	NUM
ijassa-859	60	20	assa	assa	NOUN
ijassa-859	60	21	.	.	PUNCT
ijassa-859	61	1	adv	adv	PROPN
ijassa-859	61	2	.	.	PUNCT
ijassa-859	62	1	in	in	ADP
ijassa-859	62	2	systems	system	NOUN
ijassa-859	62	3	science	science	NOUN
ijassa-859	62	4	and	and	CCONJ
ijassa-859	62	5	appl	appl	NOUN
ijassa-859	62	6	.	.	PUNCT
ijassa-859	63	1	(	(	PUNCT
ijassa-859	63	2	2020	2020	NUM
ijassa-859	63	3	)	)	PUNCT
ijassa-859	63	4	the	the	DET
ijassa-859	63	5	specified	specified	ADJ
ijassa-859	63	6	model	model	NOUN
ijassa-859	63	7	parameters	parameter	NOUN
ijassa-859	63	8	take	take	VERB
ijassa-859	63	9	values	value	NOUN
ijassa-859	63	10	in	in	ADP
ijassa-859	63	11	the	the	DET
ijassa-859	63	12	specified	specified	ADJ
ijassa-859	63	13	range	range	NOUN
ijassa-859	63	14	with	with	ADP
ijassa-859	63	15	the	the	DET
ijassa-859	63	16	specified	specify	VERB
ijassa-859	63	17	step	step	NOUN
ijassa-859	63	18	(	(	PUNCT
ijassa-859	63	19	table	table	NOUN
ijassa-859	63	20	2.1	2.1	NUM
ijassa-859	63	21	)	)	PUNCT
ijassa-859	63	22	.	.	PUNCT
ijassa-859	64	1	table	table	NOUN
ijassa-859	64	2	2.1	2.1	NUM
ijassa-859	64	3	.	.	PUNCT
ijassa-859	65	1	variation	variation	NOUN
ijassa-859	65	2	of	of	ADP
ijassa-859	65	3	model	model	NOUN
ijassa-859	65	4	parameters	parameter	NOUN
ijassa-859	65	5	№	№	ADV
ijassa-859	65	6	name	name	NOUN
ijassa-859	65	7	of	of	ADP
ijassa-859	65	8	parameter	parameter	NOUN
ijassa-859	65	9	range	range	NOUN
ijassa-859	65	10	of	of	ADP
ijassa-859	65	11	variation	variation	NOUN
ijassa-859	65	12	variation	variation	NOUN
ijassa-859	65	13	step	step	NOUN
ijassa-859	65	14	number	number	NOUN
ijassa-859	65	15	of	of	ADP
ijassa-859	65	16	variations	variation	NOUN
ijassa-859	65	17	1	1	NUM
ijassa-859	65	18	intensityofuncrewedvehicles	intensityofuncrewedvehicle	NOUN
ijassa-859	65	19	0.005	0.005	NUM
ijassa-859	65	20	–	–	PUNCT
ijassa-859	65	21	0.05	0.05	NUM
ijassa-859	65	22	0.005	0.005	NUM
ijassa-859	65	23	10	10	NUM
ijassa-859	65	24	2	2	NUM
ijassa-859	65	25	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	65	26	0.005	0.005	NUM
ijassa-859	65	27	–	–	PUNCT
ijassa-859	65	28	0.05	0.05	NUM
ijassa-859	65	29	0.005	0.005	NUM
ijassa-859	65	30	10	10	NUM
ijassa-859	65	31	3	3	NUM
ijassa-859	65	32	speedofuncrewedvehicles	speedofuncrewedvehicle	NOUN
ijassa-859	65	33	40	40	NUM
ijassa-859	65	34	–	–	PUNCT
ijassa-859	65	35	140	140	NUM
ijassa-859	65	36	10	10	NUM
ijassa-859	65	37	11	11	NUM
ijassa-859	65	38	4	4	NUM
ijassa-859	65	39	speedofusualagents	speedofusualagent	NOUN
ijassa-859	65	40	40	40	NUM
ijassa-859	65	41	–	–	PUNCT
ijassa-859	65	42	140	140	NUM
ijassa-859	65	43	10	10	NUM
ijassa-859	65	44	11	11	NUM
ijassa-859	65	45	5	5	NUM
ijassa-859	65	46	intensityofconnections	intensityofconnection	NOUN
ijassa-859	65	47	0	0	NUM
ijassa-859	65	48	–	–	PUNCT
ijassa-859	65	49	1	1	NUM
ijassa-859	65	50	0.1	0.1	NUM
ijassa-859	65	51	11	11	NUM
ijassa-859	65	52	it	it	PRON
ijassa-859	65	53	is	be	AUX
ijassa-859	65	54	easy	easy	ADJ
ijassa-859	65	55	to	to	PART
ijassa-859	65	56	see	see	VERB
ijassa-859	65	57	that	that	SCONJ
ijassa-859	65	58	the	the	DET
ijassa-859	65	59	total	total	ADJ
ijassa-859	65	60	number	number	NOUN
ijassa-859	65	61	of	of	ADP
ijassa-859	65	62	experiments	experiment	NOUN
ijassa-859	65	63	in	in	ADP
ijassa-859	65	64	each	each	DET
ijassa-859	65	65	pool	pool	NOUN
ijassa-859	65	66	is	be	AUX
ijassa-859	65	67	133100	133100	NUM
ijassa-859	65	68	.	.	PUNCT
ijassa-859	66	1	the	the	DET
ijassa-859	66	2	table	table	NOUN
ijassa-859	66	3	2.2	2.2	NUM
ijassa-859	66	4	shows	show	VERB
ijassa-859	66	5	the	the	DET
ijassa-859	66	6	main	main	ADJ
ijassa-859	66	7	descriptive	descriptive	ADJ
ijassa-859	66	8	statistics	statistic	NOUN
ijassa-859	66	9	of	of	ADP
ijassa-859	66	10	dependent	dependent	ADJ
ijassa-859	66	11	variables	variable	NOUN
ijassa-859	66	12	.	.	PUNCT
ijassa-859	67	1	table	table	NOUN
ijassa-859	67	2	2.2	2.2	NUM
ijassa-859	67	3	.	.	PUNCT
ijassa-859	68	1	descriptive	descriptive	ADJ
ijassa-859	68	2	statistics	statistic	NOUN
ijassa-859	68	3	average	average	ADJ
ijassa-859	68	4	median	median	ADJ
ijassa-859	68	5	standart	standart	NOUN
ijassa-859	68	6	deviation	deviation	NOUN
ijassa-859	68	7	minimum	minimum	ADJ
ijassa-859	68	8	maximum	maximum	ADJ
ijassa-859	68	9	output	output	NOUN
ijassa-859	68	10	stream	stream	NOUN
ijassa-859	68	11	traffic	traffic	NOUN
ijassa-859	68	12	(	(	PUNCT
ijassa-859	68	13	model	model	NOUN
ijassa-859	68	14	1	1	NUM
ijassa-859	68	15	)	)	PUNCT
ijassa-859	68	16	56.5	56.5	NUM
ijassa-859	68	17	56	56	NUM
ijassa-859	68	18	25.4	25.4	NUM
ijassa-859	68	19	3	3	NUM
ijassa-859	68	20	149	149	NUM
ijassa-859	68	21	output	output	NOUN
ijassa-859	68	22	stream	stream	NOUN
ijassa-859	68	23	traffic	traffic	NOUN
ijassa-859	68	24	(	(	PUNCT
ijassa-859	68	25	model	model	NOUN
ijassa-859	68	26	2	2	NUM
ijassa-859	68	27	)	)	PUNCT
ijassa-859	68	28	67.8	67.8	NUM
ijassa-859	68	29	65	65	NUM
ijassa-859	68	30	35.3	35.3	NUM
ijassa-859	68	31	3	3	NUM
ijassa-859	68	32	207	207	NUM
ijassa-859	68	33	number	number	NOUN
ijassa-859	68	34	of	of	ADP
ijassa-859	68	35	accidents	accident	NOUN
ijassa-859	68	36	(	(	PUNCT
ijassa-859	68	37	model	model	NOUN
ijassa-859	68	38	1	1	NUM
ijassa-859	68	39	)	)	PUNCT
ijassa-859	68	40	16	16	NUM
ijassa-859	68	41	10	10	NUM
ijassa-859	68	42	18.6	18.6	NUM
ijassa-859	68	43	0	0	NUM
ijassa-859	68	44	148	148	NUM
ijassa-859	68	45	number	number	NOUN
ijassa-859	68	46	of	of	ADP
ijassa-859	68	47	accidents	accident	NOUN
ijassa-859	68	48	(	(	PUNCT
ijassa-859	68	49	model	model	NOUN
ijassa-859	68	50	2	2	NUM
ijassa-859	68	51	)	)	PUNCT
ijassa-859	68	52	5.7	5.7	NUM
ijassa-859	68	53	1	1	NUM
ijassa-859	68	54	12.7	12.7	NUM
ijassa-859	68	55	0	0	NUM
ijassa-859	68	56	145	145	NUM
ijassa-859	68	57	according	accord	VERB
ijassa-859	68	58	to	to	ADP
ijassa-859	68	59	table	table	NOUN
ijassa-859	68	60	2.2	2.2	NUM
ijassa-859	68	61	,	,	PUNCT
ijassa-859	68	62	introduction	introduction	NOUN
ijassa-859	68	63	of	of	ADP
ijassa-859	68	64	intelligent	intelligent	ADJ
ijassa-859	68	65	ugv	ugv	NOUN
ijassa-859	68	66	leads	lead	VERB
ijassa-859	68	67	to	to	ADP
ijassa-859	68	68	an	an	DET
ijassa-859	68	69	increase	increase	NOUN
ijassa-859	68	70	in	in	ADP
ijassa-859	68	71	output	output	NOUN
ijassa-859	68	72	traffic	traffic	NOUN
ijassa-859	68	73	by	by	ADP
ijassa-859	68	74	20	20	NUM
ijassa-859	68	75	%	%	NOUN
ijassa-859	68	76	and	and	CCONJ
ijassa-859	68	77	a	a	DET
ijassa-859	68	78	decrease	decrease	NOUN
ijassa-859	68	79	in	in	ADP
ijassa-859	68	80	the	the	DET
ijassa-859	68	81	average	average	ADJ
ijassa-859	68	82	number	number	NOUN
ijassa-859	68	83	of	of	ADP
ijassa-859	68	84	accidents	accident	NOUN
ijassa-859	68	85	by	by	ADP
ijassa-859	68	86	2.8	2.8	NUM
ijassa-859	68	87	times	time	NOUN
ijassa-859	68	88	.	.	PUNCT
ijassa-859	69	1	it	it	PRON
ijassa-859	69	2	is	be	AUX
ijassa-859	69	3	also	also	ADV
ijassa-859	69	4	worth	worth	ADJ
ijassa-859	69	5	noting	note	VERB
ijassa-859	69	6	that	that	SCONJ
ijassa-859	69	7	the	the	DET
ijassa-859	69	8	median	median	ADJ
ijassa-859	69	9	number	number	NOUN
ijassa-859	69	10	of	of	ADP
ijassa-859	69	11	accidents	accident	NOUN
ijassa-859	69	12	is	be	AUX
ijassa-859	69	13	reduced	reduce	VERB
ijassa-859	69	14	from	from	ADP
ijassa-859	69	15	10	10	NUM
ijassa-859	69	16	to	to	PART
ijassa-859	69	17	1	1	NUM
ijassa-859	69	18	,	,	PUNCT
ijassa-859	69	19	i.e.	i.e.	X
ijassa-859	69	20	in	in	ADP
ijassa-859	69	21	model	model	NOUN
ijassa-859	69	22	with	with	ADP
ijassa-859	69	23	the	the	DET
ijassa-859	69	24	ability	ability	NOUN
ijassa-859	69	25	to	to	PART
ijassa-859	69	26	intelligently	intelligently	ADV
ijassa-859	69	27	estimate	estimate	VERB
ijassa-859	69	28	the	the	DET
ijassa-859	69	29	traffic	traffic	NOUN
ijassa-859	69	30	density	density	NOUN
ijassa-859	69	31	,	,	PUNCT
ijassa-859	69	32	approximately	approximately	ADV
ijassa-859	69	33	half	half	NOUN
ijassa-859	69	34	of	of	ADP
ijassa-859	69	35	the	the	DET
ijassa-859	69	36	experiments	experiment	NOUN
ijassa-859	69	37	do	do	AUX
ijassa-859	69	38	not	not	PART
ijassa-859	69	39	have	have	VERB
ijassa-859	69	40	an	an	DET
ijassa-859	69	41	accident	accident	NOUN
ijassa-859	69	42	.	.	PUNCT
ijassa-859	70	1	in	in	ADP
ijassa-859	70	2	fig	fig	NOUN
ijassa-859	70	3	.	.	PUNCT
ijassa-859	71	1	2.1	2.1	NUM
ijassa-859	71	2	and	and	CCONJ
ijassa-859	71	3	fig	fig	NOUN
ijassa-859	71	4	.	.	PUNCT
ijassa-859	72	1	2.2	2.2	NUM
ijassa-859	72	2	histograms	histogram	NOUN
ijassa-859	72	3	of	of	ADP
ijassa-859	72	4	the	the	DET
ijassa-859	72	5	output	output	NOUN
ijassa-859	72	6	stream	stream	NOUN
ijassa-859	72	7	traffic	traffic	NOUN
ijassa-859	72	8	distribution	distribution	NOUN
ijassa-859	72	9	are	be	AUX
ijassa-859	72	10	presented	present	VERB
ijassa-859	72	11	,	,	PUNCT
ijassa-859	72	12	and	and	CCONJ
ijassa-859	72	13	in	in	ADP
ijassa-859	72	14	fig	fig	NOUN
ijassa-859	72	15	.	.	PUNCT
ijassa-859	73	1	2.3	2.3	NUM
ijassa-859	73	2	and	and	CCONJ
ijassa-859	73	3	fig	fig	NOUN
ijassa-859	73	4	.	.	PUNCT
ijassa-859	74	1	2.4	2.4	NUM
ijassa-859	74	2	–	–	PUNCT
ijassa-859	74	3	histograms	histogram	NOUN
ijassa-859	74	4	of	of	ADP
ijassa-859	74	5	the	the	DET
ijassa-859	74	6	distribution	distribution	NOUN
ijassa-859	74	7	of	of	ADP
ijassa-859	74	8	the	the	DET
ijassa-859	74	9	number	number	NOUN
ijassa-859	74	10	of	of	ADP
ijassa-859	74	11	accidents	accident	NOUN
ijassa-859	74	12	in	in	ADP
ijassa-859	74	13	model	model	NOUN
ijassa-859	74	14	1	1	NUM
ijassa-859	74	15	and	and	CCONJ
ijassa-859	74	16	model	model	NOUN
ijassa-859	74	17	2	2	NUM
ijassa-859	74	18	,	,	PUNCT
ijassa-859	74	19	respectively	respectively	ADV
ijassa-859	74	20	.	.	PUNCT
ijassa-859	75	1	fig	fig	NOUN
ijassa-859	75	2	.	.	PUNCT
ijassa-859	76	1	2.1	2.1	NUM
ijassa-859	76	2	.	.	PUNCT
ijassa-859	76	3	histogram	histogram	NOUN
ijassa-859	76	4	of	of	ADP
ijassa-859	76	5	the	the	DET
ijassa-859	76	6	output	output	NOUN
ijassa-859	76	7	stream	stream	NOUN
ijassa-859	76	8	traffic	traffic	NOUN
ijassa-859	76	9	distribution	distribution	NOUN
ijassa-859	76	10	in	in	ADP
ijassa-859	76	11	model	model	NOUN
ijassa-859	76	12	1	1	NUM
ijassa-859	76	13	0	0	NUM
ijassa-859	76	14	200	200	NUM
ijassa-859	76	15	400	400	NUM
ijassa-859	76	16	600	600	NUM
ijassa-859	76	17	800	800	NUM
ijassa-859	76	18	1000	1000	NUM
ijassa-859	76	19	1200	1200	NUM
ijassa-859	76	20	1400	1400	NUM
ijassa-859	76	21	1600	1600	NUM
ijassa-859	76	22	1800	1800	NUM
ijassa-859	76	23	2000	2000	NUM
ijassa-859	76	24	0	0	NUM
ijassa-859	76	25	5	5	NUM
ijassa-859	76	26	10	10	NUM
ijassa-859	76	27	15	15	NUM
ijassa-859	76	28	20	20	NUM
ijassa-859	76	29	25	25	NUM
ijassa-859	76	30	30	30	NUM
ijassa-859	76	31	35	35	NUM
ijassa-859	76	32	40	40	NUM
ijassa-859	76	33	45	45	NUM
ijassa-859	76	34	50	50	NUM
ijassa-859	76	35	55	55	NUM
ijassa-859	76	36	60	60	NUM
ijassa-859	76	37	65	65	NUM
ijassa-859	76	38	70	70	NUM
ijassa-859	76	39	75	75	NUM
ijassa-859	76	40	80	80	NUM
ijassa-859	76	41	85	85	NUM
ijassa-859	76	42	90	90	NUM
ijassa-859	76	43	95	95	NUM
ijassa-859	76	44	10	10	NUM
ijassa-859	76	45	0	0	NUM
ijassa-859	76	46	10	10	NUM
ijassa-859	76	47	5	5	NUM
ijassa-859	76	48	11	11	NUM
ijassa-859	76	49	0	0	NUM
ijassa-859	76	50	11	11	NUM
ijassa-859	76	51	5	5	NUM
ijassa-859	76	52	12	12	NUM
ijassa-859	76	53	0	0	NUM
ijassa-859	76	54	12	12	NUM
ijassa-859	76	55	5	5	NUM
ijassa-859	76	56	13	13	NUM
ijassa-859	76	57	0	0	NUM
ijassa-859	76	58	13	13	NUM
ijassa-859	76	59	5	5	NUM
ijassa-859	76	60	14	14	NUM
ijassa-859	76	61	0	0	NUM
ijassa-859	76	62	14	14	NUM
ijassa-859	76	63	5	5	NUM
ijassa-859	76	64	15	15	NUM
ijassa-859	76	65	0	0	NUM
ijassa-859	76	66	n	n	AUX
ijassa-859	76	67	um	um	INTJ
ijassa-859	76	68	be	be	AUX
ijassa-859	76	69	r	r	NOUN
ijassa-859	76	70	o	o	NOUN
ijassa-859	77	1	f	f	X
ijassa-859	78	1	e	e	X
ijassa-859	79	1	xp	xp	INTJ
ijassa-859	80	1	er	er	INTJ
ijassa-859	80	2	i	i	PRON
ijassa-859	80	3	m	m	VERB
ijassa-859	80	4	en	en	ADP
ijassa-859	80	5	ts	ts	ADP
ijassa-859	80	6	output	output	NOUN
ijassa-859	80	7	stream	stream	NOUN
ijassa-859	80	8	traffic	traffic	NOUN
ijassa-859	80	9	48	48	NUM
ijassa-859	80	10	a.	a.	NOUN
ijassa-859	80	11	akopov	akopov	PROPN
ijassa-859	80	12	,	,	PUNCT
ijassa-859	80	13	n.	n.	PROPN
ijassa-859	80	14	khachatryan	khachatryan	PROPN
ijassa-859	80	15	,	,	PUNCT
ijassa-859	80	16	f.	f.	PROPN
ijassa-859	80	17	belousov	belousov	PROPN
ijassa-859	80	18	copyright	copyright	NOUN
ijassa-859	80	19	©	©	PROPN
ijassa-859	80	20	2020	2020	NUM
ijassa-859	80	21	assa	assa	PROPN
ijassa-859	80	22	adv	adv	PROPN
ijassa-859	80	23	.	.	PUNCT
ijassa-859	81	1	in	in	ADP
ijassa-859	81	2	systems	system	NOUN
ijassa-859	81	3	science	science	NOUN
ijassa-859	81	4	and	and	CCONJ
ijassa-859	81	5	appl	appl	NOUN
ijassa-859	81	6	.	.	PUNCT
ijassa-859	82	1	(	(	PUNCT
ijassa-859	82	2	2020	2020	NUM
ijassa-859	82	3	)	)	PUNCT
ijassa-859	82	4	fig	fig	NOUN
ijassa-859	82	5	.	.	PUNCT
ijassa-859	83	1	2.2	2.2	NUM
ijassa-859	83	2	.	.	PUNCT
ijassa-859	83	3	histogram	histogram	NOUN
ijassa-859	83	4	of	of	ADP
ijassa-859	83	5	the	the	DET
ijassa-859	83	6	output	output	NOUN
ijassa-859	83	7	stream	stream	NOUN
ijassa-859	83	8	traffic	traffic	NOUN
ijassa-859	83	9	distribution	distribution	NOUN
ijassa-859	83	10	in	in	ADP
ijassa-859	83	11	model	model	NOUN
ijassa-859	83	12	2	2	NUM
ijassa-859	83	13	fig	fig	NOUN
ijassa-859	83	14	.	.	PUNCT
ijassa-859	84	1	2.3	2.3	NUM
ijassa-859	84	2	.	.	PUNCT
ijassa-859	84	3	histogram	histogram	NOUN
ijassa-859	84	4	of	of	ADP
ijassa-859	84	5	the	the	DET
ijassa-859	84	6	number	number	NOUN
ijassa-859	84	7	of	of	ADP
ijassa-859	84	8	accident	accident	NOUN
ijassa-859	84	9	distribution	distribution	NOUN
ijassa-859	84	10	in	in	ADP
ijassa-859	84	11	model	model	NOUN
ijassa-859	84	12	1	1	NUM
ijassa-859	84	13	fig	fig	NOUN
ijassa-859	84	14	.	.	PUNCT
ijassa-859	85	1	2.4	2.4	NUM
ijassa-859	85	2	.	.	PUNCT
ijassa-859	85	3	histogram	histogram	NOUN
ijassa-859	85	4	of	of	ADP
ijassa-859	85	5	the	the	DET
ijassa-859	85	6	number	number	NOUN
ijassa-859	85	7	of	of	ADP
ijassa-859	85	8	accident	accident	NOUN
ijassa-859	85	9	distribution	distribution	NOUN
ijassa-859	85	10	in	in	ADP
ijassa-859	85	11	model	model	NOUN
ijassa-859	85	12	2	2	NUM
ijassa-859	85	13	from	from	ADP
ijassa-859	85	14	fig	fig	NOUN
ijassa-859	85	15	.	.	PUNCT
ijassa-859	86	1	2.3	2.3	NUM
ijassa-859	86	2	and	and	CCONJ
ijassa-859	86	3	fig	fig	NOUN
ijassa-859	86	4	.	.	PUNCT
ijassa-859	87	1	2.4	2.4	NUM
ijassa-859	87	2	it	it	PRON
ijassa-859	87	3	follows	follow	VERB
ijassa-859	87	4	that	that	SCONJ
ijassa-859	87	5	the	the	DET
ijassa-859	87	6	number	number	NOUN
ijassa-859	87	7	of	of	ADP
ijassa-859	87	8	experiments	experiment	NOUN
ijassa-859	87	9	without	without	ADP
ijassa-859	87	10	an	an	DET
ijassa-859	87	11	accident	accident	NOUN
ijassa-859	87	12	in	in	ADP
ijassa-859	87	13	model	model	NOUN
ijassa-859	87	14	2	2	NUM
ijassa-859	87	15	is	be	AUX
ijassa-859	87	16	three	three	NUM
ijassa-859	87	17	times	time	NOUN
ijassa-859	87	18	less	less	ADJ
ijassa-859	87	19	than	than	ADP
ijassa-859	87	20	in	in	ADP
ijassa-859	87	21	model	model	NOUN
ijassa-859	87	22	1	1	NUM
ijassa-859	87	23	.	.	PUNCT
ijassa-859	88	1	we	we	PRON
ijassa-859	88	2	finish	finish	VERB
ijassa-859	88	3	the	the	DET
ijassa-859	88	4	initial	initial	ADJ
ijassa-859	88	5	data	datum	NOUN
ijassa-859	88	6	analysis	analysis	NOUN
ijassa-859	88	7	with	with	ADP
ijassa-859	88	8	the	the	DET
ijassa-859	88	9	graph	graph	NOUN
ijassa-859	88	10	0	0	NUM
ijassa-859	88	11	10000	10000	NUM
ijassa-859	88	12	20000	20000	NUM
ijassa-859	88	13	30000	30000	NUM
ijassa-859	88	14	40000	40000	NUM
ijassa-859	88	15	50000	50000	NUM
ijassa-859	88	16	60000	60000	NUM
ijassa-859	88	17	70000	70000	NUM
ijassa-859	88	18	0	0	NUM
ijassa-859	88	19	6	6	NUM
ijassa-859	88	20	12	12	NUM
ijassa-859	88	21	18	18	NUM
ijassa-859	88	22	24	24	NUM
ijassa-859	88	23	30	30	NUM
ijassa-859	88	24	36	36	NUM
ijassa-859	88	25	42	42	NUM
ijassa-859	88	26	48	48	NUM
ijassa-859	88	27	54	54	NUM
ijassa-859	88	28	60	60	NUM
ijassa-859	88	29	66	66	NUM
ijassa-859	88	30	72	72	NUM
ijassa-859	88	31	78	78	NUM
ijassa-859	88	32	84	84	NUM
ijassa-859	88	33	90	90	NUM
ijassa-859	88	34	96	96	NUM
ijassa-859	88	35	10	10	NUM
ijassa-859	88	36	2	2	NUM
ijassa-859	88	37	10	10	NUM
ijassa-859	88	38	8	8	NUM
ijassa-859	88	39	11	11	NUM
ijassa-859	88	40	4	4	NUM
ijassa-859	88	41	12	12	NUM
ijassa-859	88	42	0	0	NUM
ijassa-859	88	43	12	12	NUM
ijassa-859	88	44	6	6	NUM
ijassa-859	88	45	13	13	NUM
ijassa-859	88	46	2	2	NUM
ijassa-859	88	47	13	13	NUM
ijassa-859	88	48	8	8	NUM
ijassa-859	88	49	14	14	NUM
ijassa-859	88	50	4	4	NUM
ijassa-859	88	51	n	n	NUM
ijassa-859	88	52	um	um	INTJ
ijassa-859	88	53	be	be	AUX
ijassa-859	89	1	r	r	NOUN
ijassa-859	89	2	o	o	NOUN
ijassa-859	89	3	f	f	X
ijassa-859	89	4	e	e	X
ijassa-859	89	5	xp	xp	INTJ
ijassa-859	90	1	er	er	INTJ
ijassa-859	90	2	i	i	PRON
ijassa-859	90	3	m	m	VERB
ijassa-859	90	4	en	en	ADP
ijassa-859	90	5	ts	ts	ADP
ijassa-859	90	6	number	number	NOUN
ijassa-859	90	7	of	of	ADP
ijassa-859	90	8	accidents	accident	NOUN
ijassa-859	90	9	0	0	NUM
ijassa-859	90	10	5000	5000	NUM
ijassa-859	90	11	10000	10000	NUM
ijassa-859	90	12	15000	15000	NUM
ijassa-859	90	13	20000	20000	NUM
ijassa-859	90	14	25000	25000	NUM
ijassa-859	90	15	0	0	NUM
ijassa-859	90	16	6	6	NUM
ijassa-859	90	17	12	12	NUM
ijassa-859	90	18	18	18	NUM
ijassa-859	90	19	24	24	NUM
ijassa-859	90	20	30	30	NUM
ijassa-859	90	21	36	36	NUM
ijassa-859	90	22	42	42	NUM
ijassa-859	90	23	48	48	NUM
ijassa-859	90	24	54	54	NUM
ijassa-859	90	25	60	60	NUM
ijassa-859	90	26	66	66	NUM
ijassa-859	90	27	72	72	NUM
ijassa-859	90	28	78	78	NUM
ijassa-859	90	29	84	84	NUM
ijassa-859	90	30	90	90	NUM
ijassa-859	90	31	96	96	NUM
ijassa-859	90	32	10	10	NUM
ijassa-859	90	33	2	2	NUM
ijassa-859	90	34	10	10	NUM
ijassa-859	90	35	8	8	NUM
ijassa-859	90	36	11	11	NUM
ijassa-859	90	37	4	4	NUM
ijassa-859	90	38	12	12	NUM
ijassa-859	90	39	0	0	NUM
ijassa-859	90	40	12	12	NUM
ijassa-859	90	41	6	6	NUM
ijassa-859	90	42	13	13	NUM
ijassa-859	90	43	2	2	NUM
ijassa-859	90	44	13	13	NUM
ijassa-859	90	45	8	8	NUM
ijassa-859	90	46	14	14	NUM
ijassa-859	90	47	4	4	NUM
ijassa-859	90	48	n	n	NUM
ijassa-859	90	49	um	um	INTJ
ijassa-859	90	50	be	be	AUX
ijassa-859	90	51	r	r	NOUN
ijassa-859	90	52	o	o	NOUN
ijassa-859	91	1	f	f	X
ijassa-859	92	1	e	e	X
ijassa-859	93	1	xp	xp	INTJ
ijassa-859	94	1	er	er	INTJ
ijassa-859	94	2	i	i	PRON
ijassa-859	94	3	m	m	VERB
ijassa-859	94	4	en	en	ADP
ijassa-859	94	5	ts	ts	ADP
ijassa-859	94	6	number	number	NOUN
ijassa-859	94	7	of	of	ADP
ijassa-859	94	8	accidents	accident	NOUN
ijassa-859	94	9	0	0	NUM
ijassa-859	95	1	200	200	NUM
ijassa-859	95	2	400	400	NUM
ijassa-859	95	3	600	600	NUM
ijassa-859	95	4	800	800	NUM
ijassa-859	95	5	1000	1000	NUM
ijassa-859	95	6	1200	1200	NUM
ijassa-859	95	7	1400	1400	NUM
ijassa-859	95	8	1600	1600	NUM
ijassa-859	95	9	0	0	NUM
ijassa-859	95	10	7	7	NUM
ijassa-859	95	11	14	14	NUM
ijassa-859	95	12	21	21	NUM
ijassa-859	95	13	28	28	NUM
ijassa-859	95	14	35	35	NUM
ijassa-859	95	15	42	42	NUM
ijassa-859	95	16	49	49	NUM
ijassa-859	95	17	56	56	NUM
ijassa-859	95	18	63	63	NUM
ijassa-859	95	19	70	70	NUM
ijassa-859	95	20	77	77	NUM
ijassa-859	95	21	84	84	NUM
ijassa-859	95	22	91	91	NUM
ijassa-859	95	23	98	98	NUM
ijassa-859	95	24	10	10	NUM
ijassa-859	95	25	5	5	NUM
ijassa-859	95	26	11	11	NUM
ijassa-859	95	27	2	2	NUM
ijassa-859	95	28	11	11	NUM
ijassa-859	95	29	9	9	NUM
ijassa-859	95	30	12	12	NUM
ijassa-859	95	31	6	6	NUM
ijassa-859	95	32	13	13	NUM
ijassa-859	95	33	3	3	NUM
ijassa-859	95	34	14	14	NUM
ijassa-859	95	35	0	0	NUM
ijassa-859	95	36	14	14	NUM
ijassa-859	95	37	7	7	NUM
ijassa-859	95	38	15	15	NUM
ijassa-859	95	39	4	4	NUM
ijassa-859	95	40	16	16	NUM
ijassa-859	95	41	1	1	NUM
ijassa-859	95	42	16	16	NUM
ijassa-859	95	43	8	8	NUM
ijassa-859	95	44	17	17	NUM
ijassa-859	95	45	5	5	NUM
ijassa-859	95	46	18	18	NUM
ijassa-859	95	47	2	2	NUM
ijassa-859	95	48	18	18	NUM
ijassa-859	95	49	9	9	NUM
ijassa-859	95	50	19	19	NUM
ijassa-859	95	51	6	6	NUM
ijassa-859	95	52	20	20	NUM
ijassa-859	95	53	3	3	NUM
ijassa-859	95	54	21	21	NUM
ijassa-859	95	55	0	0	NUM
ijassa-859	95	56	n	n	AUX
ijassa-859	95	57	um	um	INTJ
ijassa-859	95	58	be	be	AUX
ijassa-859	95	59	r	r	NOUN
ijassa-859	95	60	o	o	NOUN
ijassa-859	95	61	f	f	X
ijassa-859	96	1	e	e	X
ijassa-859	97	1	xp	xp	INTJ
ijassa-859	98	1	er	er	INTJ
ijassa-859	98	2	i	i	PRON
ijassa-859	98	3	m	m	VERB
ijassa-859	98	4	en	en	ADP
ijassa-859	98	5	ts	ts	ADP
ijassa-859	98	6	output	output	NOUN
ijassa-859	98	7	stream	stream	NOUN
ijassa-859	98	8	traffic	traffic	NOUN
ijassa-859	98	9	influence	influence	NOUN
ijassa-859	98	10	of	of	ADP
ijassa-859	98	11	unmanned	unmanned	ADJ
ijassa-859	98	12	vehicles	vehicle	NOUN
ijassa-859	98	13	on	on	ADP
ijassa-859	98	14	the	the	DET
ijassa-859	98	15	state	state	NOUN
ijassa-859	98	16	of	of	ADP
ijassa-859	98	17	the	the	DET
ijassa-859	98	18	transport	transport	NOUN
ijassa-859	98	19	network	network	NOUN
ijassa-859	98	20	49	49	NUM
ijassa-859	98	21	copyright	copyright	NOUN
ijassa-859	98	22	©	©	PROPN
ijassa-859	98	23	2020	2020	NUM
ijassa-859	98	24	assa	assa	NOUN
ijassa-859	98	25	.	.	PUNCT
ijassa-859	99	1	adv	adv	PROPN
ijassa-859	99	2	.	.	PUNCT
ijassa-859	100	1	in	in	ADP
ijassa-859	100	2	systems	system	NOUN
ijassa-859	100	3	science	science	NOUN
ijassa-859	100	4	and	and	CCONJ
ijassa-859	100	5	appl	appl	NOUN
ijassa-859	100	6	.	.	PUNCT
ijassa-859	101	1	(	(	PUNCT
ijassa-859	101	2	2020	2020	NUM
ijassa-859	101	3	)	)	PUNCT
ijassa-859	101	4	below	below	ADP
ijassa-859	101	5	(	(	PUNCT
ijassa-859	101	6	fig	fig	NOUN
ijassa-859	101	7	.	.	PUNCT
ijassa-859	102	1	2.5	2.5	NUM
ijassa-859	102	2	)	)	PUNCT
ijassa-859	102	3	.	.	PUNCT
ijassa-859	103	1	it	it	PRON
ijassa-859	103	2	shows	show	VERB
ijassa-859	103	3	how	how	SCONJ
ijassa-859	103	4	the	the	DET
ijassa-859	103	5	number	number	NOUN
ijassa-859	103	6	of	of	ADP
ijassa-859	103	7	experiments	experiment	NOUN
ijassa-859	103	8	in	in	ADP
ijassa-859	103	9	which	which	PRON
ijassa-859	103	10	the	the	DET
ijassa-859	103	11	number	number	NOUN
ijassa-859	103	12	of	of	ADP
ijassa-859	103	13	accidents	accident	NOUN
ijassa-859	103	14	is	be	AUX
ijassa-859	103	15	not	not	PART
ijassa-859	103	16	less	less	ADJ
ijassa-859	103	17	than	than	SCONJ
ijassa-859	103	18	the	the	DET
ijassa-859	103	19	specified	specified	ADJ
ijassa-859	103	20	number	number	NOUN
ijassa-859	103	21	(	(	PUNCT
ijassa-859	103	22	between	between	ADP
ijassa-859	103	23	the	the	DET
ijassa-859	103	24	minimum	minimum	ADJ
ijassa-859	103	25	and	and	CCONJ
ijassa-859	103	26	maximum	maximum	ADJ
ijassa-859	103	27	number	number	NOUN
ijassa-859	103	28	)	)	PUNCT
ijassa-859	103	29	decreases	decrease	NOUN
ijassa-859	103	30	in	in	ADP
ijassa-859	103	31	both	both	CCONJ
ijassa-859	103	32	the	the	DET
ijassa-859	103	33	first	first	ADJ
ijassa-859	103	34	and	and	CCONJ
ijassa-859	103	35	second	second	ADJ
ijassa-859	103	36	models	model	NOUN
ijassa-859	103	37	.	.	PUNCT
ijassa-859	104	1	fig	fig	NOUN
ijassa-859	104	2	.	.	PUNCT
ijassa-859	105	1	2.5	2.5	NUM
ijassa-859	105	2	.	.	PUNCT
ijassa-859	105	3	number	number	NOUN
ijassa-859	105	4	of	of	ADP
ijassa-859	105	5	experiments	experiment	NOUN
ijassa-859	105	6	with	with	ADP
ijassa-859	105	7	number	number	NOUN
ijassa-859	105	8	of	of	ADP
ijassa-859	105	9	accidents	accident	NOUN
ijassa-859	105	10	not	not	PART
ijassa-859	105	11	less	less	ADJ
ijassa-859	105	12	than	than	ADP
ijassa-859	105	13	a	a	DET
ijassa-859	105	14	given	give	VERB
ijassa-859	105	15	value	value	NOUN
ijassa-859	105	16	3	3	NUM
ijassa-859	105	17	.	.	NOUN
ijassa-859	105	18	econometric	econometric	ADJ
ijassa-859	105	19	model	model	NOUN
ijassa-859	105	20	specification	specification	NOUN
ijassa-859	105	21	selection	selection	NOUN
ijassa-859	105	22	let	let	VERB
ijassa-859	105	23	's	us	PRON
ijassa-859	105	24	proceed	proceed	VERB
ijassa-859	105	25	to	to	ADP
ijassa-859	105	26	the	the	DET
ijassa-859	105	27	study	study	NOUN
ijassa-859	105	28	of	of	ADP
ijassa-859	105	29	the	the	DET
ijassa-859	105	30	influence	influence	NOUN
ijassa-859	105	31	of	of	ADP
ijassa-859	105	32	the	the	DET
ijassa-859	105	33	model	model	NOUN
ijassa-859	105	34	parameters	parameter	NOUN
ijassa-859	105	35	specified	specify	VERB
ijassa-859	105	36	in	in	ADP
ijassa-859	105	37	table	table	NOUN
ijassa-859	105	38	2.1	2.1	NUM
ijassa-859	105	39	on	on	ADP
ijassa-859	105	40	the	the	DET
ijassa-859	105	41	output	output	NOUN
ijassa-859	105	42	stream	stream	NOUN
ijassa-859	105	43	traffic	traffic	NOUN
ijassa-859	105	44	and	and	CCONJ
ijassa-859	105	45	the	the	DET
ijassa-859	105	46	number	number	NOUN
ijassa-859	105	47	of	of	ADP
ijassa-859	105	48	accidents	accident	NOUN
ijassa-859	105	49	,	,	PUNCT
ijassa-859	105	50	i.e.	i.e.	X
ijassa-859	105	51	,	,	PUNCT
ijassa-859	105	52	to	to	PART
ijassa-859	105	53	construct	construct	VERB
ijassa-859	105	54	and	and	CCONJ
ijassa-859	105	55	evaluate	evaluate	VERB
ijassa-859	105	56	the	the	DET
ijassa-859	105	57	corresponding	correspond	VERB
ijassa-859	105	58	regression	regression	NOUN
ijassa-859	105	59	equations	equation	NOUN
ijassa-859	105	60	.	.	PUNCT
ijassa-859	106	1	at	at	ADP
ijassa-859	106	2	the	the	DET
ijassa-859	106	3	initial	initial	ADJ
ijassa-859	106	4	stage	stage	NOUN
ijassa-859	106	5	of	of	ADP
ijassa-859	106	6	this	this	DET
ijassa-859	106	7	study	study	NOUN
ijassa-859	106	8	,	,	PUNCT
ijassa-859	106	9	we	we	PRON
ijassa-859	106	10	will	will	AUX
ijassa-859	106	11	try	try	VERB
ijassa-859	106	12	to	to	PART
ijassa-859	106	13	determine	determine	VERB
ijassa-859	106	14	the	the	DET
ijassa-859	106	15	model	model	NOUN
ijassa-859	106	16	specification	specification	NOUN
ijassa-859	106	17	.	.	PUNCT
ijassa-859	107	1	since	since	SCONJ
ijassa-859	107	2	the	the	DET
ijassa-859	107	3	set	set	NOUN
ijassa-859	107	4	of	of	ADP
ijassa-859	107	5	explanatory	explanatory	ADJ
ijassa-859	107	6	variables	variable	NOUN
ijassa-859	107	7	is	be	AUX
ijassa-859	107	8	defined	define	VERB
ijassa-859	107	9	in	in	ADP
ijassa-859	107	10	advance	advance	NOUN
ijassa-859	107	11	in	in	ADP
ijassa-859	107	12	the	the	DET
ijassa-859	107	13	framework	framework	NOUN
ijassa-859	107	14	of	of	ADP
ijassa-859	107	15	building	build	VERB
ijassa-859	107	16	the	the	DET
ijassa-859	107	17	above	above	ADJ
ijassa-859	107	18	agent	agent	NOUN
ijassa-859	107	19	-	-	PUNCT
ijassa-859	107	20	based	base	VERB
ijassa-859	107	21	models	model	NOUN
ijassa-859	107	22	,	,	PUNCT
ijassa-859	107	23	we	we	PRON
ijassa-859	107	24	are	be	AUX
ijassa-859	107	25	trying	try	VERB
ijassa-859	107	26	to	to	PART
ijassa-859	107	27	determine	determine	VERB
ijassa-859	107	28	the	the	DET
ijassa-859	107	29	type	type	NOUN
ijassa-859	107	30	of	of	ADP
ijassa-859	107	31	assumed	assume	VERB
ijassa-859	107	32	dependency	dependency	NOUN
ijassa-859	107	33	.	.	PUNCT
ijassa-859	108	1	we	we	PRON
ijassa-859	108	2	restrict	restrict	VERB
ijassa-859	108	3	ourselves	ourselves	PRON
ijassa-859	108	4	to	to	ADP
ijassa-859	108	5	two	two	NUM
ijassa-859	108	6	types	type	NOUN
ijassa-859	108	7	of	of	ADP
ijassa-859	108	8	functions	function	NOUN
ijassa-859	108	9	that	that	PRON
ijassa-859	108	10	are	be	AUX
ijassa-859	108	11	most	most	ADV
ijassa-859	108	12	often	often	ADV
ijassa-859	108	13	encountered	encounter	VERB
ijassa-859	108	14	in	in	ADP
ijassa-859	108	15	econometric	econometric	ADJ
ijassa-859	108	16	studies	study	NOUN
ijassa-859	108	17	:	:	PUNCT
ijassa-859	108	18	linear	linear	ADJ
ijassa-859	108	19	and	and	CCONJ
ijassa-859	108	20	power	power	NOUN
ijassa-859	108	21	-	-	PUNCT
ijassa-859	108	22	law	law	NOUN
ijassa-859	108	23	.	.	PUNCT
ijassa-859	109	1	in	in	ADP
ijassa-859	109	2	this	this	DET
ijassa-859	109	3	regard	regard	NOUN
ijassa-859	109	4	,	,	PUNCT
ijassa-859	109	5	we	we	PRON
ijassa-859	109	6	present	present	VERB
ijassa-859	109	7	matrices	matrix	NOUN
ijassa-859	109	8	of	of	ADP
ijassa-859	109	9	pairwise	pairwise	NOUN
ijassa-859	109	10	correlations	correlation	NOUN
ijassa-859	109	11	of	of	ADP
ijassa-859	109	12	all	all	DET
ijassa-859	109	13	variables	variable	NOUN
ijassa-859	109	14	(	(	PUNCT
ijassa-859	109	15	both	both	CCONJ
ijassa-859	109	16	explanatory	explanatory	ADJ
ijassa-859	109	17	and	and	CCONJ
ijassa-859	109	18	dependent	dependent	ADJ
ijassa-859	109	19	)	)	PUNCT
ijassa-859	109	20	,	,	PUNCT
ijassa-859	109	21	as	as	ADV
ijassa-859	109	22	well	well	ADV
ijassa-859	109	23	as	as	ADP
ijassa-859	109	24	their	their	PRON
ijassa-859	109	25	logarithms	logarithm	NOUN
ijassa-859	109	26	for	for	ADP
ijassa-859	109	27	both	both	DET
ijassa-859	109	28	models	model	NOUN
ijassa-859	109	29	(	(	PUNCT
ijassa-859	109	30	tables	table	NOUN
ijassa-859	109	31	3.1	3.1	NUM
ijassa-859	109	32	,	,	PUNCT
ijassa-859	109	33	3.2	3.2	NUM
ijassa-859	109	34	,	,	PUNCT
ijassa-859	109	35	3.3	3.3	NUM
ijassa-859	109	36	,	,	PUNCT
ijassa-859	109	37	3.4	3.4	NUM
ijassa-859	109	38	)	)	PUNCT
ijassa-859	109	39	.	.	PUNCT
ijassa-859	110	1	the	the	DET
ijassa-859	110	2	following	follow	VERB
ijassa-859	110	3	notation	notation	NOUN
ijassa-859	110	4	is	be	AUX
ijassa-859	110	5	used	use	VERB
ijassa-859	110	6	in	in	ADP
ijassa-859	110	7	these	these	DET
ijassa-859	110	8	tables	table	NOUN
ijassa-859	110	9	:	:	PUNCT
ijassa-859	111	1	•	•	NUM
ijassa-859	111	2	x1	x1	ADJ
ijassa-859	111	3	–	–	PUNCT
ijassa-859	111	4	intensityofuncrewedvehicles	intensityofuncrewedvehicle	NOUN
ijassa-859	111	5	;	;	PUNCT
ijassa-859	111	6	•	•	NUM
ijassa-859	111	7	x2	x2	X
ijassa-859	111	8	–	–	PUNCT
ijassa-859	111	9	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	111	10	;	;	PUNCT
ijassa-859	111	11	•	•	NUM
ijassa-859	111	12	x3	x3	ADJ
ijassa-859	111	13	–	–	PUNCT
ijassa-859	111	14	speedofuncrewedvehicles	speedofuncrewedvehicle	NOUN
ijassa-859	111	15	;	;	PUNCT
ijassa-859	111	16	•	•	NUM
ijassa-859	111	17	x4	x4	PROPN
ijassa-859	111	18	–	–	PUNCT
ijassa-859	111	19	speedofusualagents	speedofusualagent	NOUN
ijassa-859	111	20	;	;	PUNCT
ijassa-859	111	21	•	•	NUM
ijassa-859	111	22	x5	x5	PROPN
ijassa-859	111	23	–	–	PUNCT
ijassa-859	111	24	intensityofconnections	intensityofconnection	NOUN
ijassa-859	111	25	;	;	PUNCT
ijassa-859	111	26	•	•	NUM
ijassa-859	111	27	y1	y1	INTJ
ijassa-859	111	28	–	–	PUNCT
ijassa-859	111	29	output	output	NOUN
ijassa-859	111	30	stream	stream	NOUN
ijassa-859	111	31	traffic	traffic	NOUN
ijassa-859	111	32	;	;	PUNCT
ijassa-859	111	33	•	•	NOUN
ijassa-859	111	34	y2	y2	INTJ
ijassa-859	111	35	–	–	PUNCT
ijassa-859	111	36	number	number	NOUN
ijassa-859	111	37	of	of	ADP
ijassa-859	111	38	accidents	accident	NOUN
ijassa-859	111	39	.	.	PUNCT
ijassa-859	112	1	thus	thus	ADV
ijassa-859	112	2	–	–	PUNCT
ijassa-859	112	3	x1	x1	NUM
ijassa-859	112	4	,	,	PUNCT
ijassa-859	112	5	x2	x2	PROPN
ijassa-859	112	6	,	,	PUNCT
ijassa-859	112	7	x3	x3	PROPN
ijassa-859	112	8	,	,	PUNCT
ijassa-859	112	9	x4	x4	PROPN
ijassa-859	112	10	,	,	PUNCT
ijassa-859	112	11	x5	x5	PROPN
ijassa-859	112	12	–	–	PUNCT
ijassa-859	112	13	explaining	explain	VERB
ijassa-859	112	14	variables	variable	NOUN
ijassa-859	112	15	,	,	PUNCT
ijassa-859	112	16	а	а	PROPN
ijassa-859	112	17	y1	y1	PROPN
ijassa-859	112	18	,	,	PUNCT
ijassa-859	112	19	y2	y2	INTJ
ijassa-859	112	20	–	–	PUNCT
ijassa-859	112	21	dependent	dependent	ADJ
ijassa-859	112	22	.	.	PUNCT
ijassa-859	113	1	table	table	NOUN
ijassa-859	113	2	3.1	3.1	NUM
ijassa-859	113	3	.	.	PUNCT
ijassa-859	114	1	correlation	correlation	NOUN
ijassa-859	114	2	matrix	matrix	NOUN
ijassa-859	114	3	of	of	ADP
ijassa-859	114	4	variables	variable	NOUN
ijassa-859	114	5	in	in	ADP
ijassa-859	114	6	model	model	NOUN
ijassa-859	115	1	1	1	NUM
ijassa-859	115	2	x1	x1	NOUN
ijassa-859	115	3	x2	x2	NOUN
ijassa-859	115	4	x3	x3	PROPN
ijassa-859	115	5	x4	x4	PROPN
ijassa-859	115	6	x5	x5	PROPN
ijassa-859	115	7	y1	y1	NOUN
ijassa-859	116	1	y2	y2	PROPN
ijassa-859	116	2	x1	x1	PROPN
ijassa-859	116	3	1.00	1.00	NUM
ijassa-859	116	4	-0.20	-0.20	NUM
ijassa-859	116	5	-0.008	-0.008	NUM
ijassa-859	116	6	0.03	0.03	NUM
ijassa-859	116	7	-0.0002	-0.0002	NOUN
ijassa-859	116	8	0.07	0.07	NUM
ijassa-859	116	9	0.47	0.47	NUM
ijassa-859	116	10	x2	x2	PROPN
ijassa-859	116	11	-0.20	-0.20	NUM
ijassa-859	116	12	1.00	1.00	NUM
ijassa-859	116	13	0.002	0.002	NUM
ijassa-859	116	14	0.03	0.03	NUM
ijassa-859	116	15	0.0005	0.0005	NUM
ijassa-859	116	16	0.15	0.15	NUM
ijassa-859	116	17	0.46	0.46	NUM
ijassa-859	116	18	x3	x3	ADJ
ijassa-859	116	19	-0.008	-0.008	NOUN
ijassa-859	116	20	0.002	0.002	NUM
ijassa-859	116	21	1.00	1.00	NUM
ijassa-859	116	22	-0.02	-0.02	NUM
ijassa-859	116	23	-0.0006	-0.0006	NOUN
ijassa-859	116	24	0.40	0.40	NUM
ijassa-859	116	25	0.11	0.11	NUM
ijassa-859	116	26	x4	x4	PROPN
ijassa-859	116	27	0.03	0.03	NUM
ijassa-859	116	28	0.03	0.03	NUM
ijassa-859	116	29	-0.02	-0.02	NUM
ijassa-859	116	30	1.00	1.00	NUM
ijassa-859	116	31	0.002	0.002	NUM
ijassa-859	116	32	0.74	0.74	NUM
ijassa-859	116	33	-0.21	-0.21	NUM
ijassa-859	116	34	x5	x5	PROPN
ijassa-859	116	35	-0.0002	-0.0002	NOUN
ijassa-859	116	36	0.0005	0.0005	NUM
ijassa-859	116	37	-0.0006	-0.0006	NOUN
ijassa-859	116	38	0.002	0.002	NUM
ijassa-859	116	39	1.00	1.00	NUM
ijassa-859	116	40	0.0003	0.0003	NUM
ijassa-859	116	41	-0.003	-0.003	NOUN
ijassa-859	116	42	y1	y1	NOUN
ijassa-859	116	43	0.07	0.07	NUM
ijassa-859	116	44	0.15	0.15	NUM
ijassa-859	116	45	0.40	0.40	NUM
ijassa-859	116	46	0.74	0.74	NUM
ijassa-859	116	47	0.0003	0.0003	NUM
ijassa-859	116	48	1.00	1.00	NUM
ijassa-859	116	49	-0.16	-0.16	ADP
ijassa-859	116	50	y2	y2	NOUN
ijassa-859	117	1	0.47	0.47	NUM
ijassa-859	117	2	0.46	0.46	NUM
ijassa-859	117	3	0.11	0.11	NUM
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ijassa-859	117	5	-0.003	-0.003	NOUN
ijassa-859	117	6	-0.16	-0.16	NUM
ijassa-859	117	7	1.00	1.00	NUM
ijassa-859	117	8	0	0	NUM
ijassa-859	117	9	20000	20000	NUM
ijassa-859	117	10	40000	40000	NUM
ijassa-859	117	11	60000	60000	NUM
ijassa-859	117	12	80000	80000	NUM
ijassa-859	117	13	100000	100000	NUM
ijassa-859	117	14	120000	120000	NUM
ijassa-859	117	15	1	1	NUM
ijassa-859	117	16	7	7	NUM
ijassa-859	117	17	13	13	NUM
ijassa-859	117	18	19	19	NUM
ijassa-859	117	19	25	25	NUM
ijassa-859	117	20	31	31	NUM
ijassa-859	117	21	37	37	NUM
ijassa-859	117	22	43	43	NUM
ijassa-859	117	23	49	49	NUM
ijassa-859	117	24	55	55	NUM
ijassa-859	117	25	61	61	NUM
ijassa-859	117	26	67	67	NUM
ijassa-859	117	27	73	73	NUM
ijassa-859	117	28	79	79	NUM
ijassa-859	117	29	85	85	NUM
ijassa-859	117	30	91	91	NUM
ijassa-859	117	31	97	97	NUM
ijassa-859	117	32	10	10	NUM
ijassa-859	117	33	3	3	NUM
ijassa-859	117	34	10	10	NUM
ijassa-859	117	35	9	9	NUM
ijassa-859	117	36	11	11	NUM
ijassa-859	117	37	5	5	NUM
ijassa-859	117	38	12	12	NUM
ijassa-859	117	39	1	1	NUM
ijassa-859	117	40	12	12	NUM
ijassa-859	117	41	7	7	NUM
ijassa-859	117	42	13	13	NUM
ijassa-859	117	43	3	3	NUM
ijassa-859	117	44	13	13	NUM
ijassa-859	117	45	9	9	NUM
ijassa-859	117	46	14	14	NUM
ijassa-859	117	47	5	5	NUM
ijassa-859	117	48	n	n	NUM
ijassa-859	117	49	um	um	INTJ
ijassa-859	117	50	be	be	AUX
ijassa-859	117	51	r	r	NOUN
ijassa-859	117	52	o	o	NOUN
ijassa-859	117	53	f	f	X
ijassa-859	118	1	e	e	X
ijassa-859	119	1	xp	xp	INTJ
ijassa-859	120	1	er	er	INTJ
ijassa-859	120	2	i	i	PRON
ijassa-859	120	3	m	m	VERB
ijassa-859	120	4	en	en	ADP
ijassa-859	120	5	ts	ts	ADP
ijassa-859	120	6	number	number	NOUN
ijassa-859	120	7	of	of	ADP
ijassa-859	120	8	accidents	accident	NOUN
ijassa-859	120	9	model	model	VERB
ijassa-859	120	10	1	1	NUM
ijassa-859	120	11	model	model	NOUN
ijassa-859	120	12	2	2	NUM
ijassa-859	120	13	50	50	NUM
ijassa-859	120	14	a.	a.	NOUN
ijassa-859	120	15	akopov	akopov	PROPN
ijassa-859	120	16	,	,	PUNCT
ijassa-859	120	17	n.	n.	PROPN
ijassa-859	120	18	khachatryan	khachatryan	PROPN
ijassa-859	120	19	,	,	PUNCT
ijassa-859	120	20	f.	f.	PROPN
ijassa-859	120	21	belousov	belousov	PROPN
ijassa-859	120	22	copyright	copyright	NOUN
ijassa-859	121	1	©	©	PROPN
ijassa-859	121	2	2020	2020	NUM
ijassa-859	121	3	assa	assa	PROPN
ijassa-859	121	4	adv	adv	PROPN
ijassa-859	121	5	.	.	PUNCT
ijassa-859	122	1	in	in	ADP
ijassa-859	122	2	systems	system	NOUN
ijassa-859	122	3	science	science	NOUN
ijassa-859	122	4	and	and	CCONJ
ijassa-859	122	5	appl	appl	NOUN
ijassa-859	122	6	.	.	PUNCT
ijassa-859	123	1	(	(	PUNCT
ijassa-859	123	2	2020	2020	NUM
ijassa-859	123	3	)	)	PUNCT
ijassa-859	123	4	table	table	NOUN
ijassa-859	123	5	3.2	3.2	NUM
ijassa-859	123	6	.	.	PUNCT
ijassa-859	124	1	correlation	correlation	NOUN
ijassa-859	124	2	matrix	matrix	NOUN
ijassa-859	124	3	of	of	ADP
ijassa-859	124	4	logarithms	logarithm	NOUN
ijassa-859	124	5	of	of	ADP
ijassa-859	124	6	variables	variable	NOUN
ijassa-859	124	7	in	in	ADP
ijassa-859	124	8	model	model	NOUN
ijassa-859	124	9	1	1	NUM
ijassa-859	124	10	log(x1	log(x1	PROPN
ijassa-859	124	11	)	)	PUNCT
ijassa-859	124	12	log(x2	log(x2	NOUN
ijassa-859	124	13	)	)	PUNCT
ijassa-859	124	14	log(x3	log(x3	NOUN
ijassa-859	124	15	)	)	PUNCT
ijassa-859	124	16	log(x4	log(x4	NOUN
ijassa-859	124	17	)	)	PUNCT
ijassa-859	124	18	log(x5	log(x5	ADJ
ijassa-859	124	19	)	)	PUNCT
ijassa-859	124	20	log(y1	log(y1	PROPN
ijassa-859	124	21	)	)	PUNCT
ijassa-859	124	22	log(y2	log(y2	NOUN
ijassa-859	124	23	)	)	PUNCT
ijassa-859	124	24	log(x1	log(x1	PROPN
ijassa-859	124	25	)	)	PUNCT
ijassa-859	124	26	1.00	1.00	NUM
ijassa-859	124	27	-0.22	-0.22	NUM
ijassa-859	124	28	-0.008	-0.008	NOUN
ijassa-859	124	29	0.02	0.02	NUM
ijassa-859	124	30	-0.0007	-0.0007	NOUN
ijassa-859	124	31	0.09	0.09	NUM
ijassa-859	124	32	0.47	0.47	NUM
ijassa-859	124	33	log(x2	log(x2	NOUN
ijassa-859	124	34	)	)	PUNCT
ijassa-859	124	35	-0.22	-0.22	NUM
ijassa-859	124	36	1.00	1.00	NUM
ijassa-859	124	37	0.001	0.001	NUM
ijassa-859	124	38	0.03	0.03	NUM
ijassa-859	124	39	0.0005	0.0005	NUM
ijassa-859	124	40	0.08	0.08	NUM
ijassa-859	124	41	0.44	0.44	NUM
ijassa-859	124	42	log(x3	log(x3	NOUN
ijassa-859	124	43	)	)	PUNCT
ijassa-859	124	44	-0.008	-0.008	NOUN
ijassa-859	125	1	0.001	0.001	NUM
ijassa-859	125	2	1.00	1.00	NUM
ijassa-859	125	3	-0.015	-0.015	PUNCT
ijassa-859	125	4	-0.0003	-0.0003	NOUN
ijassa-859	125	5	0.37	0.37	NUM
ijassa-859	125	6	0.10	0.10	NUM
ijassa-859	125	7	log(x4	log(x4	NOUN
ijassa-859	125	8	)	)	PUNCT
ijassa-859	125	9	0.02	0.02	NUM
ijassa-859	125	10	0.03	0.03	NUM
ijassa-859	125	11	-0.015	-0.015	NUM
ijassa-859	125	12	1.00	1.00	NUM
ijassa-859	125	13	0.002	0.002	NUM
ijassa-859	125	14	0.75	0.75	NUM
ijassa-859	125	15	-0.17	-0.17	ADJ
ijassa-859	125	16	log(x5	log(x5	PROPN
ijassa-859	125	17	)	)	PUNCT
ijassa-859	125	18	-0.0007	-0.0007	VERB
ijassa-859	126	1	0.0005	0.0005	NUM
ijassa-859	126	2	-0.0003	-0.0003	NOUN
ijassa-859	126	3	0.002	0.002	NUM
ijassa-859	126	4	1.00	1.00	NUM
ijassa-859	126	5	-0.0003	-0.0003	NOUN
ijassa-859	126	6	-0.001	-0.001	PUNCT
ijassa-859	126	7	log(y1	log(y1	PROPN
ijassa-859	126	8	)	)	PUNCT
ijassa-859	126	9	0.09	0.09	NUM
ijassa-859	126	10	0.08	0.08	NUM
ijassa-859	126	11	0.37	0.37	NUM
ijassa-859	126	12	0.75	0.75	NUM
ijassa-859	126	13	-0.0003	-0.0003	NOUN
ijassa-859	126	14	1.00	1.00	NUM
ijassa-859	126	15	-0.10	-0.10	NUM
ijassa-859	126	16	log(y2	log(y2	NOUN
ijassa-859	126	17	)	)	PUNCT
ijassa-859	126	18	0.47	0.47	NUM
ijassa-859	126	19	0.44	0.44	NUM
ijassa-859	126	20	0.10	0.10	NUM
ijassa-859	126	21	-0.17	-0.17	NOUN
ijassa-859	126	22	-0.001	-0.001	NUM
ijassa-859	126	23	-0.10	-0.10	NUM
ijassa-859	126	24	1.00	1.00	NUM
ijassa-859	126	25	table	table	NOUN
ijassa-859	126	26	3.3	3.3	NUM
ijassa-859	126	27	.	.	PUNCT
ijassa-859	127	1	correlation	correlation	NOUN
ijassa-859	127	2	matrix	matrix	NOUN
ijassa-859	127	3	of	of	ADP
ijassa-859	127	4	variables	variable	NOUN
ijassa-859	127	5	in	in	ADP
ijassa-859	127	6	model	model	NOUN
ijassa-859	128	1	2	2	NUM
ijassa-859	128	2	x1	x1	NOUN
ijassa-859	129	1	x2	x2	NOUN
ijassa-859	129	2	x3	x3	PROPN
ijassa-859	129	3	x4	x4	PROPN
ijassa-859	129	4	x5	x5	PROPN
ijassa-859	129	5	y1	y1	NOUN
ijassa-859	130	1	y2	y2	PROPN
ijassa-859	130	2	x1	x1	PROPN
ijassa-859	130	3	1.00	1.00	NUM
ijassa-859	130	4	-0.26	-0.26	NOUN
ijassa-859	130	5	-0.02	-0.02	NUM
ijassa-859	130	6	0.12	0.12	NUM
ijassa-859	130	7	-0.001	-0.001	NUM
ijassa-859	130	8	0.23	0.23	NUM
ijassa-859	130	9	0.19	0.19	NUM
ijassa-859	130	10	x2	x2	PROPN
ijassa-859	130	11	-0.26	-0.26	NUM
ijassa-859	130	12	1.00	1.00	NUM
ijassa-859	130	13	0.04	0.04	NUM
ijassa-859	130	14	-0.008	-0.008	NOUN
ijassa-859	130	15	-0.002	-0.002	PUNCT
ijassa-859	130	16	0.13	0.13	NUM
ijassa-859	130	17	0.39	0.39	NUM
ijassa-859	130	18	x3	x3	ADJ
ijassa-859	130	19	-0.02	-0.02	NUM
ijassa-859	130	20	0.04	0.04	NUM
ijassa-859	130	21	1.00	1.00	NUM
ijassa-859	130	22	-0.05	-0.05	NUM
ijassa-859	130	23	-0.001	-0.001	NUM
ijassa-859	130	24	0.37	0.37	NUM
ijassa-859	130	25	0.12	0.12	NUM
ijassa-859	130	26	x4	x4	PROPN
ijassa-859	130	27	0.12	0.12	NUM
ijassa-859	130	28	-0.008	-0.008	NOUN
ijassa-859	130	29	-0.05	-0.05	NUM
ijassa-859	130	30	1.00	1.00	NUM
ijassa-859	130	31	-0.0009	-0.0009	NOUN
ijassa-859	130	32	0.74	0.74	NUM
ijassa-859	130	33	-0.41	-0.41	NUM
ijassa-859	130	34	x5	x5	PROPN
ijassa-859	130	35	-0.001	-0.001	NUM
ijassa-859	130	36	-0.002	-0.002	PUNCT
ijassa-859	130	37	-0.001	-0.001	PUNCT
ijassa-859	130	38	-0.0009	-0.0009	PROPN
ijassa-859	130	39	1.00	1.00	NUM
ijassa-859	130	40	-0.003	-0.003	NOUN
ijassa-859	130	41	0.001	0.001	NUM
ijassa-859	130	42	y1	y1	NOUN
ijassa-859	130	43	0.23	0.23	NUM
ijassa-859	130	44	0.13	0.13	NUM
ijassa-859	130	45	0.37	0.37	NUM
ijassa-859	130	46	0.74	0.74	NUM
ijassa-859	130	47	-0.003	-0.003	NOUN
ijassa-859	130	48	1.00	1.00	NUM
ijassa-859	130	49	-0.37	-0.37	NUM
ijassa-859	130	50	y2	y2	PROPN
ijassa-859	130	51	0.19	0.19	NUM
ijassa-859	130	52	0.39	0.39	NUM
ijassa-859	130	53	0.12	0.12	NUM
ijassa-859	130	54	-0.41	-0.41	NUM
ijassa-859	130	55	0.001	0.001	NUM
ijassa-859	130	56	-0.37	-0.37	NUM
ijassa-859	130	57	1.00	1.00	NUM
ijassa-859	130	58	table	table	NOUN
ijassa-859	130	59	3.4	3.4	NUM
ijassa-859	130	60	.	.	PUNCT
ijassa-859	130	61	correlation	correlation	NOUN
ijassa-859	130	62	matrix	matrix	NOUN
ijassa-859	130	63	of	of	ADP
ijassa-859	130	64	logarithms	logarithm	NOUN
ijassa-859	130	65	of	of	ADP
ijassa-859	130	66	variables	variable	NOUN
ijassa-859	130	67	in	in	ADP
ijassa-859	130	68	model	model	NOUN
ijassa-859	130	69	2	2	NUM
ijassa-859	130	70	log(x1	log(x1	PROPN
ijassa-859	130	71	)	)	PUNCT
ijassa-859	130	72	log(x2	log(x2	NOUN
ijassa-859	130	73	)	)	PUNCT
ijassa-859	130	74	log(x3	log(x3	NOUN
ijassa-859	130	75	)	)	PUNCT
ijassa-859	130	76	log(x4	log(x4	NOUN
ijassa-859	130	77	)	)	PUNCT
ijassa-859	130	78	log(x5	log(x5	ADJ
ijassa-859	130	79	)	)	PUNCT
ijassa-859	130	80	log(y1	log(y1	PROPN
ijassa-859	130	81	)	)	PUNCT
ijassa-859	130	82	log(y2	log(y2	NOUN
ijassa-859	130	83	)	)	PUNCT
ijassa-859	130	84	log(x1	log(x1	PROPN
ijassa-859	130	85	)	)	PUNCT
ijassa-859	130	86	1.00	1.00	NUM
ijassa-859	130	87	-0.23	-0.23	NUM
ijassa-859	130	88	-0.02	-0.02	NUM
ijassa-859	130	89	0.10	0.10	NUM
ijassa-859	130	90	-0.002	-0.002	PUNCT
ijassa-859	130	91	0.20	0.20	NUM
ijassa-859	130	92	0.14	0.14	NUM
ijassa-859	130	93	log(x2	log(x2	NOUN
ijassa-859	130	94	)	)	PUNCT
ijassa-859	130	95	-0.23	-0.23	PROPN
ijassa-859	130	96	1.00	1.00	NUM
ijassa-859	130	97	0.04	0.04	NUM
ijassa-859	130	98	-0.03	-0.03	NUM
ijassa-859	130	99	-0.0006	-0.0006	NOUN
ijassa-859	130	100	0.07	0.07	NUM
ijassa-859	130	101	0.45	0.45	NUM
ijassa-859	130	102	log(x3	log(x3	NOUN
ijassa-859	130	103	)	)	PUNCT
ijassa-859	130	104	-0.02	-0.02	NUM
ijassa-859	130	105	0.04	0.04	NUM
ijassa-859	130	106	1.00	1.00	NUM
ijassa-859	130	107	-0.05	-0.05	NOUN
ijassa-859	130	108	-0.001	-0.001	NUM
ijassa-859	130	109	0.35	0.35	NUM
ijassa-859	130	110	0.10	0.10	NUM
ijassa-859	130	111	log(x4	log(x4	NOUN
ijassa-859	130	112	)	)	PUNCT
ijassa-859	130	113	0.10	0.10	NUM
ijassa-859	130	114	-0.03	-0.03	NUM
ijassa-859	130	115	-0.05	-0.05	NUM
ijassa-859	130	116	1.00	1.00	NUM
ijassa-859	130	117	-0.0006	-0.0006	NOUN
ijassa-859	130	118	0.77	0.77	NUM
ijassa-859	130	119	-0.47	-0.47	DET
ijassa-859	130	120	log(x5	log(x5	PROPN
ijassa-859	130	121	)	)	PUNCT
ijassa-859	130	122	-0.002	-0.002	PUNCT
ijassa-859	130	123	-0.0006	-0.0006	NOUN
ijassa-859	130	124	-0.001	-0.001	X
ijassa-859	130	125	-0.0006	-0.0006	NOUN
ijassa-859	130	126	1.00	1.00	NUM
ijassa-859	130	127	-0.001	-0.001	NOUN
ijassa-859	130	128	0.001	0.001	NUM
ijassa-859	130	129	log(y1	log(y1	PROPN
ijassa-859	130	130	)	)	PUNCT
ijassa-859	130	131	0.20	0.20	NUM
ijassa-859	130	132	0.07	0.07	NUM
ijassa-859	130	133	0.35	0.35	NUM
ijassa-859	130	134	0.77	0.77	NUM
ijassa-859	130	135	-0.001	-0.001	NUM
ijassa-859	130	136	1.00	1.00	NUM
ijassa-859	130	137	-0.40	-0.40	NOUN
ijassa-859	130	138	log(y2	log(y2	NOUN
ijassa-859	130	139	)	)	PUNCT
ijassa-859	130	140	0.14	0.14	NUM
ijassa-859	130	141	0.45	0.45	NUM
ijassa-859	130	142	0.10	0.10	NUM
ijassa-859	130	143	-0.47	-0.47	NUM
ijassa-859	130	144	0.001	0.001	NUM
ijassa-859	130	145	-0.40	-0.40	NUM
ijassa-859	130	146	1.00	1.00	NUM
ijassa-859	130	147	based	base	VERB
ijassa-859	130	148	on	on	ADP
ijassa-859	130	149	the	the	DET
ijassa-859	130	150	data	datum	NOUN
ijassa-859	130	151	from	from	ADP
ijassa-859	130	152	these	these	DET
ijassa-859	130	153	tables	table	NOUN
ijassa-859	130	154	,	,	PUNCT
ijassa-859	130	155	we	we	PRON
ijassa-859	130	156	can	can	AUX
ijassa-859	130	157	draw	draw	VERB
ijassa-859	130	158	the	the	DET
ijassa-859	130	159	following	following	ADJ
ijassa-859	130	160	conclusions	conclusion	NOUN
ijassa-859	130	161	:	:	PUNCT
ijassa-859	130	162	1	1	X
ijassa-859	130	163	.	.	X
ijassa-859	130	164	the	the	DET
ijassa-859	130	165	pairwise	pairwise	NOUN
ijassa-859	130	166	correlation	correlation	NOUN
ijassa-859	130	167	both	both	CCONJ
ijassa-859	130	168	between	between	ADP
ijassa-859	130	169	explanatory	explanatory	ADJ
ijassa-859	130	170	variables	variable	NOUN
ijassa-859	130	171	and	and	CCONJ
ijassa-859	130	172	between	between	ADP
ijassa-859	130	173	their	their	PRON
ijassa-859	130	174	logarithms	logarithm	NOUN
ijassa-859	130	175	is	be	AUX
ijassa-859	130	176	low	low	ADJ
ijassa-859	130	177	in	in	ADP
ijassa-859	130	178	both	both	DET
ijassa-859	130	179	models	model	NOUN
ijassa-859	130	180	,	,	PUNCT
ijassa-859	130	181	which	which	PRON
ijassa-859	130	182	,	,	PUNCT
ijassa-859	130	183	when	when	SCONJ
ijassa-859	130	184	evaluating	evaluate	VERB
ijassa-859	130	185	the	the	DET
ijassa-859	130	186	corresponding	correspond	VERB
ijassa-859	130	187	regression	regression	NOUN
ijassa-859	130	188	equations	equation	NOUN
ijassa-859	130	189	,	,	PUNCT
ijassa-859	130	190	can	can	AUX
ijassa-859	130	191	not	not	PART
ijassa-859	130	192	become	become	VERB
ijassa-859	130	193	a	a	DET
ijassa-859	130	194	source	source	NOUN
ijassa-859	130	195	of	of	ADP
ijassa-859	130	196	multicollinearity	multicollinearity	NOUN
ijassa-859	130	197	.	.	PUNCT
ijassa-859	131	1	this	this	PRON
ijassa-859	131	2	is	be	AUX
ijassa-859	131	3	important	important	ADJ
ijassa-859	131	4	given	give	VERB
ijassa-859	131	5	that	that	SCONJ
ijassa-859	131	6	we	we	PRON
ijassa-859	131	7	are	be	AUX
ijassa-859	131	8	interested	interested	ADJ
ijassa-859	131	9	in	in	ADP
ijassa-859	131	10	the	the	DET
ijassa-859	131	11	contribution	contribution	NOUN
ijassa-859	131	12	of	of	ADP
ijassa-859	131	13	each	each	DET
ijassa-859	131	14	explanatory	explanatory	ADJ
ijassa-859	131	15	variable	variable	NOUN
ijassa-859	131	16	to	to	ADP
ijassa-859	131	17	changes	change	NOUN
ijassa-859	131	18	in	in	ADP
ijassa-859	131	19	dependent	dependent	ADJ
ijassa-859	131	20	variables	variable	NOUN
ijassa-859	131	21	.	.	PUNCT
ijassa-859	132	1	2	2	X
ijassa-859	132	2	.	.	X
ijassa-859	132	3	comparing	compare	VERB
ijassa-859	132	4	pairwise	pairwise	NOUN
ijassa-859	132	5	correlations	correlation	NOUN
ijassa-859	132	6	between	between	ADP
ijassa-859	132	7	dependent	dependent	ADJ
ijassa-859	132	8	and	and	CCONJ
ijassa-859	132	9	explanatory	explanatory	ADJ
ijassa-859	132	10	variables	variable	NOUN
ijassa-859	132	11	does	do	AUX
ijassa-859	132	12	not	not	PART
ijassa-859	132	13	allow	allow	VERB
ijassa-859	132	14	us	we	PRON
ijassa-859	132	15	to	to	PART
ijassa-859	132	16	determine	determine	VERB
ijassa-859	132	17	which	which	PRON
ijassa-859	132	18	of	of	ADP
ijassa-859	132	19	the	the	DET
ijassa-859	132	20	functions	function	NOUN
ijassa-859	132	21	(	(	PUNCT
ijassa-859	132	22	linear	linear	ADJ
ijassa-859	132	23	or	or	CCONJ
ijassa-859	132	24	power	power	NOUN
ijassa-859	132	25	-	-	PUNCT
ijassa-859	132	26	law	law	NOUN
ijassa-859	132	27	)	)	PUNCT
ijassa-859	132	28	most	most	ADV
ijassa-859	132	29	adequately	adequately	ADV
ijassa-859	132	30	describes	describe	VERB
ijassa-859	132	31	the	the	DET
ijassa-859	132	32	dependence	dependence	NOUN
ijassa-859	132	33	of	of	ADP
ijassa-859	132	34	output	output	NOUN
ijassa-859	132	35	stream	stream	NOUN
ijassa-859	132	36	traffic	traffic	NOUN
ijassa-859	132	37	and	and	CCONJ
ijassa-859	132	38	the	the	DET
ijassa-859	132	39	number	number	NOUN
ijassa-859	132	40	of	of	ADP
ijassa-859	132	41	accidents	accident	NOUN
ijassa-859	132	42	on	on	ADP
ijassa-859	132	43	the	the	DET
ijassa-859	132	44	model	model	NOUN
ijassa-859	132	45	parameters	parameter	NOUN
ijassa-859	132	46	.	.	PUNCT
ijassa-859	133	1	therefore	therefore	ADV
ijassa-859	133	2	,	,	PUNCT
ijassa-859	133	3	in	in	ADP
ijassa-859	133	4	the	the	DET
ijassa-859	133	5	future	future	NOUN
ijassa-859	133	6	we	we	PRON
ijassa-859	133	7	will	will	AUX
ijassa-859	133	8	conduct	conduct	VERB
ijassa-859	133	9	econometric	econometric	ADJ
ijassa-859	133	10	analysis	analysis	NOUN
ijassa-859	133	11	using	use	VERB
ijassa-859	133	12	both	both	DET
ijassa-859	133	13	types	type	NOUN
ijassa-859	133	14	of	of	ADP
ijassa-859	133	15	functions	function	NOUN
ijassa-859	133	16	.	.	PUNCT
ijassa-859	134	1	in	in	ADP
ijassa-859	134	2	connection	connection	NOUN
ijassa-859	134	3	with	with	ADP
ijassa-859	134	4	the	the	DET
ijassa-859	134	5	use	use	NOUN
ijassa-859	134	6	of	of	ADP
ijassa-859	134	7	power	power	NOUN
ijassa-859	134	8	functions	function	NOUN
ijassa-859	134	9	,	,	PUNCT
ijassa-859	134	10	which	which	PRON
ijassa-859	134	11	will	will	AUX
ijassa-859	134	12	be	be	AUX
ijassa-859	134	13	logarithmized	logarithmize	VERB
ijassa-859	134	14	before	before	ADP
ijassa-859	134	15	estimation	estimation	NOUN
ijassa-859	134	16	,	,	PUNCT
ijassa-859	134	17	we	we	PRON
ijassa-859	134	18	discard	discard	VERB
ijassa-859	134	19	the	the	DET
ijassa-859	134	20	results	result	NOUN
ijassa-859	134	21	of	of	ADP
ijassa-859	134	22	experiments	experiment	NOUN
ijassa-859	134	23	in	in	ADP
ijassa-859	134	24	which	which	PRON
ijassa-859	134	25	a	a	DET
ijassa-859	134	26	variable	variable	NOUN
ijassa-859	134	27	assumes	assume	VERB
ijassa-859	134	28	a	a	DET
ijassa-859	134	29	zero	zero	NUM
ijassa-859	134	30	value	value	NOUN
ijassa-859	134	31	.	.	PUNCT
ijassa-859	135	1	thus	thus	ADV
ijassa-859	135	2	,	,	PUNCT
ijassa-859	135	3	to	to	PART
ijassa-859	135	4	construct	construct	VERB
ijassa-859	135	5	the	the	DET
ijassa-859	135	6	regression	regression	NOUN
ijassa-859	135	7	equations	equation	NOUN
ijassa-859	135	8	for	for	ADP
ijassa-859	135	9	the	the	DET
ijassa-859	135	10	output	output	NOUN
ijassa-859	135	11	stream	stream	NOUN
ijassa-859	135	12	traffic	traffic	NOUN
ijassa-859	135	13	,	,	PUNCT
ijassa-859	135	14	the	the	DET
ijassa-859	135	15	data	datum	NOUN
ijassa-859	135	16	of	of	ADP
ijassa-859	135	17	102448	102448	NUM
ijassa-859	135	18	observations	observation	NOUN
ijassa-859	135	19	were	be	AUX
ijassa-859	135	20	used	use	VERB
ijassa-859	135	21	,	,	PUNCT
ijassa-859	135	22	and	and	CCONJ
ijassa-859	135	23	for	for	ADP
ijassa-859	135	24	the	the	DET
ijassa-859	135	25	number	number	NOUN
ijassa-859	135	26	of	of	ADP
ijassa-859	135	27	accidents	accident	NOUN
ijassa-859	135	28	–	–	PUNCT
ijassa-859	135	29	the	the	DET
ijassa-859	135	30	data	datum	NOUN
ijassa-859	135	31	of	of	ADP
ijassa-859	135	32	65134	65134	NUM
ijassa-859	135	33	observations	observation	NOUN
ijassa-859	135	34	.	.	PUNCT
ijassa-859	136	1	4	4	X
ijassa-859	136	2	.	.	NUM
ijassa-859	136	3	econometric	econometric	ADJ
ijassa-859	136	4	analysis	analysis	NOUN
ijassa-859	136	5	of	of	ADP
ijassa-859	136	6	traffic	traffic	NOUN
ijassa-859	136	7	characteristics	characteristic	NOUN
ijassa-859	136	8	in	in	ADP
ijassa-859	136	9	the	the	DET
ijassa-859	136	10	framework	framework	NOUN
ijassa-859	136	11	of	of	ADP
ijassa-859	136	12	linear	linear	PROPN
ijassa-859	136	13	regression	regression	NOUN
ijassa-859	136	14	equations	equation	NOUN
ijassa-859	136	15	we	we	PRON
ijassa-859	136	16	proceed	proceed	VERB
ijassa-859	136	17	to	to	PART
ijassa-859	136	18	evaluate	evaluate	VERB
ijassa-859	136	19	the	the	DET
ijassa-859	136	20	dependences	dependence	NOUN
ijassa-859	136	21	of	of	ADP
ijassa-859	136	22	the	the	DET
ijassa-859	136	23	output	output	NOUN
ijassa-859	136	24	stream	stream	NOUN
ijassa-859	136	25	traffic	traffic	NOUN
ijassa-859	136	26	and	and	CCONJ
ijassa-859	136	27	the	the	DET
ijassa-859	136	28	number	number	NOUN
ijassa-859	136	29	of	of	ADP
ijassa-859	136	30	accidents	accident	NOUN
ijassa-859	136	31	in	in	ADP
ijassa-859	136	32	both	both	DET
ijassa-859	136	33	models	model	NOUN
ijassa-859	136	34	on	on	ADP
ijassa-859	136	35	the	the	DET
ijassa-859	136	36	indicated	indicate	VERB
ijassa-859	136	37	parameters	parameter	NOUN
ijassa-859	136	38	of	of	ADP
ijassa-859	136	39	the	the	DET
ijassa-859	136	40	model	model	NOUN
ijassa-859	136	41	in	in	ADP
ijassa-859	136	42	the	the	DET
ijassa-859	136	43	framework	framework	NOUN
ijassa-859	136	44	of	of	ADP
ijassa-859	136	45	linear	linear	PROPN
ijassa-859	136	46	regression	regression	NOUN
ijassa-859	136	47	equations	equation	NOUN
ijassa-859	136	48	.	.	PUNCT
ijassa-859	137	1	so	so	ADV
ijassa-859	137	2	,	,	PUNCT
ijassa-859	137	3	we	we	PRON
ijassa-859	137	4	will	will	AUX
ijassa-859	137	5	build	build	VERB
ijassa-859	137	6	and	and	CCONJ
ijassa-859	137	7	study	study	VERB
ijassa-859	137	8	linear	linear	PROPN
ijassa-859	137	9	regression	regression	NOUN
ijassa-859	137	10	equations	equation	NOUN
ijassa-859	137	11	with	with	ADP
ijassa-859	137	12	the	the	DET
ijassa-859	137	13	following	follow	VERB
ijassa-859	137	14	dependent	dependent	ADJ
ijassa-859	137	15	variables	variable	NOUN
ijassa-859	137	16	:	:	PUNCT
ijassa-859	137	17	•	•	NUM
ijassa-859	137	18	output	output	NOUN
ijassa-859	137	19	stream	stream	NOUN
ijassa-859	137	20	traffic	traffic	NOUN
ijassa-859	137	21	in	in	ADP
ijassa-859	137	22	model	model	NOUN
ijassa-859	137	23	1	1	NUM
ijassa-859	137	24	;	;	PUNCT
ijassa-859	137	25	•	•	NUM
ijassa-859	137	26	output	output	NOUN
ijassa-859	137	27	stream	stream	NOUN
ijassa-859	137	28	traffic	traffic	NOUN
ijassa-859	137	29	in	in	ADP
ijassa-859	137	30	model	model	NOUN
ijassa-859	137	31	2	2	NUM
ijassa-859	137	32	;	;	PUNCT
ijassa-859	137	33	•	•	NUM
ijassa-859	137	34	number	number	NOUN
ijassa-859	137	35	of	of	ADP
ijassa-859	137	36	accidents	accident	NOUN
ijassa-859	137	37	in	in	ADP
ijassa-859	137	38	model	model	NOUN
ijassa-859	137	39	1	1	NUM
ijassa-859	137	40	;	;	PUNCT
ijassa-859	137	41	•	•	NUM
ijassa-859	137	42	number	number	NOUN
ijassa-859	137	43	of	of	ADP
ijassa-859	137	44	accidents	accident	NOUN
ijassa-859	137	45	in	in	ADP
ijassa-859	137	46	model	model	NOUN
ijassa-859	137	47	2	2	NUM
ijassa-859	137	48	.	.	PUNCT
ijassa-859	138	1	the	the	DET
ijassa-859	138	2	coefficients	coefficient	NOUN
ijassa-859	138	3	were	be	AUX
ijassa-859	138	4	estimated	estimate	VERB
ijassa-859	138	5	in	in	ADP
ijassa-859	138	6	the	the	DET
ijassa-859	138	7	framework	framework	NOUN
ijassa-859	138	8	of	of	ADP
ijassa-859	138	9	the	the	DET
ijassa-859	138	10	classical	classical	ADJ
ijassa-859	138	11	multiple	multiple	ADJ
ijassa-859	138	12	regression	regression	NOUN
ijassa-859	138	13	model	model	NOUN
ijassa-859	138	14	using	use	VERB
ijassa-859	138	15	the	the	DET
ijassa-859	138	16	least	least	ADJ
ijassa-859	138	17	squares	square	NOUN
ijassa-859	138	18	method	method	NOUN
ijassa-859	138	19	.	.	PUNCT
ijassa-859	139	1	since	since	SCONJ
ijassa-859	139	2	the	the	DET
ijassa-859	139	3	white	white	PROPN
ijassa-859	139	4	test	test	NOUN
ijassa-859	139	5	confidently	confidently	ADV
ijassa-859	139	6	rejects	reject	VERB
ijassa-859	139	7	the	the	DET
ijassa-859	139	8	null	null	ADJ
ijassa-859	139	9	hypothesis	hypothesis	NOUN
ijassa-859	139	10	of	of	ADP
ijassa-859	139	11	influence	influence	NOUN
ijassa-859	139	12	of	of	ADP
ijassa-859	139	13	unmanned	unmanned	ADJ
ijassa-859	139	14	vehicles	vehicle	NOUN
ijassa-859	139	15	on	on	ADP
ijassa-859	139	16	the	the	DET
ijassa-859	139	17	state	state	NOUN
ijassa-859	139	18	of	of	ADP
ijassa-859	139	19	the	the	DET
ijassa-859	139	20	transport	transport	NOUN
ijassa-859	139	21	network	network	NOUN
ijassa-859	139	22	51	51	NUM
ijassa-859	139	23	copyright	copyright	NOUN
ijassa-859	139	24	©	©	PROPN
ijassa-859	139	25	2020	2020	NUM
ijassa-859	139	26	assa	assa	NOUN
ijassa-859	139	27	.	.	PUNCT
ijassa-859	140	1	adv	adv	PROPN
ijassa-859	140	2	.	.	PUNCT
ijassa-859	141	1	in	in	ADP
ijassa-859	141	2	systems	system	NOUN
ijassa-859	141	3	science	science	NOUN
ijassa-859	141	4	and	and	CCONJ
ijassa-859	141	5	appl	appl	NOUN
ijassa-859	141	6	.	.	PUNCT
ijassa-859	142	1	(	(	PUNCT
ijassa-859	142	2	2020	2020	NUM
ijassa-859	142	3	)	)	PUNCT
ijassa-859	142	4	homoskedasticity	homoskedasticity	NOUN
ijassa-859	142	5	of	of	ADP
ijassa-859	142	6	regression	regression	NOUN
ijassa-859	142	7	residues	residue	NOUN
ijassa-859	142	8	,	,	PUNCT
ijassa-859	142	9	standard	standard	ADJ
ijassa-859	142	10	errors	error	NOUN
ijassa-859	142	11	are	be	AUX
ijassa-859	142	12	estimated	estimate	VERB
ijassa-859	142	13	by	by	ADP
ijassa-859	142	14	using	use	VERB
ijassa-859	142	15	the	the	DET
ijassa-859	142	16	white	white	ADJ
ijassa-859	142	17	procedure	procedure	NOUN
ijassa-859	142	18	.	.	PUNCT
ijassa-859	143	1	4.1	4.1	NUM
ijassa-859	143	2	.	.	PUNCT
ijassa-859	143	3	results	result	NOUN
ijassa-859	143	4	of	of	ADP
ijassa-859	143	5	an	an	DET
ijassa-859	143	6	econometric	econometric	ADJ
ijassa-859	143	7	analysis	analysis	NOUN
ijassa-859	143	8	of	of	ADP
ijassa-859	143	9	the	the	DET
ijassa-859	143	10	output	output	NOUN
ijassa-859	143	11	stream	stream	NOUN
ijassa-859	143	12	traffic	traffic	NOUN
ijassa-859	143	13	in	in	ADP
ijassa-859	143	14	the	the	DET
ijassa-859	143	15	framework	framework	NOUN
ijassa-859	143	16	of	of	ADP
ijassa-859	143	17	linear	linear	PROPN
ijassa-859	143	18	regression	regression	NOUN
ijassa-859	143	19	equations	equation	NOUN
ijassa-859	143	20	here	here	ADV
ijassa-859	143	21	are	be	AUX
ijassa-859	143	22	the	the	DET
ijassa-859	143	23	results	result	NOUN
ijassa-859	143	24	of	of	ADP
ijassa-859	143	25	evaluating	evaluate	VERB
ijassa-859	143	26	the	the	DET
ijassa-859	143	27	dependence	dependence	NOUN
ijassa-859	143	28	of	of	ADP
ijassa-859	143	29	the	the	DET
ijassa-859	143	30	output	output	NOUN
ijassa-859	143	31	stream	stream	NOUN
ijassa-859	143	32	traffic	traffic	NOUN
ijassa-859	143	33	(	(	PUNCT
ijassa-859	143	34	table	table	NOUN
ijassa-859	143	35	4.1	4.1	NUM
ijassa-859	143	36	)	)	PUNCT
ijassa-859	143	37	on	on	ADP
ijassa-859	143	38	the	the	DET
ijassa-859	143	39	above	above	ADJ
ijassa-859	143	40	set	set	NOUN
ijassa-859	143	41	of	of	ADP
ijassa-859	143	42	explanatory	explanatory	ADJ
ijassa-859	143	43	variables	variable	NOUN
ijassa-859	143	44	.	.	PUNCT
ijassa-859	144	1	table	table	NOUN
ijassa-859	144	2	4.1	4.1	NUM
ijassa-859	144	3	.	.	PUNCT
ijassa-859	145	1	dependent	dependent	ADJ
ijassa-859	145	2	variable	variable	NOUN
ijassa-859	145	3	–	–	PUNCT
ijassa-859	145	4	output	output	NOUN
ijassa-859	145	5	stream	stream	NOUN
ijassa-859	145	6	traffic	traffic	NOUN
ijassa-859	145	7	,	,	PUNCT
ijassa-859	145	8	linear	linear	ADJ
ijassa-859	145	9	regression	regression	NOUN
ijassa-859	145	10	explanatory	explanatory	ADJ
ijassa-859	145	11	variables	variable	NOUN
ijassa-859	145	12	model	model	VERB
ijassa-859	145	13	1	1	NUM
ijassa-859	145	14	model	model	NOUN
ijassa-859	145	15	2	2	NUM
ijassa-859	145	16	constant	constant	ADJ
ijassa-859	145	17	-37.76	-37.76	PUNCT
ijassa-859	145	18	*	*	NOUN
ijassa-859	145	19	*	*	PUNCT
ijassa-859	145	20	*	*	PUNCT
ijassa-859	145	21	(	(	PUNCT
ijassa-859	145	22	0.27	0.27	NUM
ijassa-859	145	23	)	)	PUNCT
ijassa-859	145	24	-79.16	-79.16	PROPN
ijassa-859	145	25	*	*	PUNCT
ijassa-859	145	26	*	*	PUNCT
ijassa-859	145	27	*	*	PUNCT
ijassa-859	145	28	(	(	PUNCT
ijassa-859	145	29	0.40	0.40	NUM
ijassa-859	145	30	)	)	PUNCT
ijassa-859	145	31	intensityofuncrewedvehicles	intensityofuncrewedvehicle	VERB
ijassa-859	145	32	147.22	147.22	NUM
ijassa-859	145	33	*	*	PUNCT
ijassa-859	145	34	*	*	PUNCT
ijassa-859	145	35	*	*	PUNCT
ijassa-859	145	36	(	(	PUNCT
ijassa-859	145	37	3.72	3.72	NUM
ijassa-859	145	38	)	)	PUNCT
ijassa-859	145	39	499.05	499.05	NUM
ijassa-859	145	40	*	*	PUNCT
ijassa-859	145	41	*	*	PUNCT
ijassa-859	145	42	*	*	PUNCT
ijassa-859	145	43	(	(	PUNCT
ijassa-859	145	44	5.29	5.29	NUM
ijassa-859	145	45	)	)	PUNCT
ijassa-859	145	46	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	145	47	284.38	284.38	NUM
ijassa-859	145	48	*	*	PUNCT
ijassa-859	145	49	*	*	PUNCT
ijassa-859	145	50	*	*	PUNCT
ijassa-859	145	51	(	(	PUNCT
ijassa-859	145	52	4.56	4.56	NUM
ijassa-859	145	53	)	)	PUNCT
ijassa-859	145	54	446.01	446.01	NUM
ijassa-859	145	55	*	*	PUNCT
ijassa-859	145	56	*	*	PUNCT
ijassa-859	145	57	*	*	PUNCT
ijassa-859	145	58	(	(	PUNCT
ijassa-859	145	59	6.70	6.70	NUM
ijassa-859	145	60	)	)	PUNCT
ijassa-859	145	61	speedofuncrewedvehicles	speedofuncrewedvehicle	NOUN
ijassa-859	145	62	0.34	0.34	NUM
ijassa-859	145	63	*	*	PUNCT
ijassa-859	145	64	*	*	PUNCT
ijassa-859	145	65	*	*	PUNCT
ijassa-859	145	66	(	(	PUNCT
ijassa-859	145	67	0.002	0.002	NUM
ijassa-859	145	68	)	)	PUNCT
ijassa-859	145	69	0.48	0.48	NUM
ijassa-859	145	70	*	*	PUNCT
ijassa-859	145	71	*	*	PUNCT
ijassa-859	145	72	*	*	PUNCT
ijassa-859	145	73	(	(	PUNCT
ijassa-859	145	74	0.002	0.002	NUM
ijassa-859	145	75	)	)	PUNCT
ijassa-859	145	76	speedofusualagents	speedofusualagent	NOUN
ijassa-859	146	1	0.60	0.60	NUM
ijassa-859	146	2	*	*	PUNCT
ijassa-859	146	3	*	*	PUNCT
ijassa-859	146	4	*	*	PUNCT
ijassa-859	146	5	(	(	PUNCT
ijassa-859	146	6	0.002	0.002	NUM
ijassa-859	146	7	)	)	PUNCT
ijassa-859	146	8	0.88	0.88	NUM
ijassa-859	146	9	*	*	PUNCT
ijassa-859	146	10	*	*	PUNCT
ijassa-859	146	11	*	*	PUNCT
ijassa-859	146	12	(	(	PUNCT
ijassa-859	146	13	0.003	0.003	NUM
ijassa-859	146	14	)	)	PUNCT
ijassa-859	146	15	intensityofconnections	intensityofconnection	NOUN
ijassa-859	146	16	0.40	0.40	NUM
ijassa-859	146	17	(	(	PUNCT
ijassa-859	146	18	0.28	0.28	NUM
ijassa-859	146	19	)	)	PUNCT
ijassa-859	146	20	-0.12	-0.12	NUM
ijassa-859	146	21	(	(	PUNCT
ijassa-859	146	22	0.25	0.25	NUM
ijassa-859	146	23	)	)	PUNCT
ijassa-859	146	24	r2	r2	NOUN
ijassa-859	146	25	0.73	0.73	NUM
ijassa-859	146	26	0.76	0.76	NUM
ijassa-859	146	27	note	note	NOUN
ijassa-859	146	28	.	.	PUNCT
ijassa-859	147	1	in	in	ADP
ijassa-859	147	2	parentheses	parenthesis	NOUN
ijassa-859	147	3	are	be	AUX
ijassa-859	147	4	the	the	DET
ijassa-859	147	5	values	value	NOUN
ijassa-859	147	6	of	of	ADP
ijassa-859	147	7	standard	standard	ADJ
ijassa-859	147	8	errors	error	NOUN
ijassa-859	147	9	.	.	PUNCT
ijassa-859	148	1	*	*	PUNCT
ijassa-859	149	1	*	*	PUNCT
ijassa-859	149	2	*	*	PUNCT
ijassa-859	149	3	,	,	PUNCT
ijassa-859	149	4	*	*	PUNCT
ijassa-859	149	5	*	*	PUNCT
ijassa-859	149	6	,	,	PUNCT
ijassa-859	149	7	*	*	PUNCT
ijassa-859	149	8	–	–	PUNCT
ijassa-859	149	9	significance	significance	NOUN
ijassa-859	149	10	at	at	ADP
ijassa-859	149	11	the	the	DET
ijassa-859	149	12	1	1	NUM
ijassa-859	149	13	,	,	PUNCT
ijassa-859	149	14	5	5	NUM
ijassa-859	149	15	and	and	CCONJ
ijassa-859	149	16	10	10	NUM
ijassa-859	149	17	%	%	NOUN
ijassa-859	149	18	level	level	NOUN
ijassa-859	149	19	,	,	PUNCT
ijassa-859	149	20	respectively	respectively	ADV
ijassa-859	149	21	.	.	PUNCT
ijassa-859	150	1	as	as	SCONJ
ijassa-859	150	2	follows	follow	VERB
ijassa-859	150	3	from	from	ADP
ijassa-859	150	4	table	table	NOUN
ijassa-859	150	5	4.1	4.1	NUM
ijassa-859	150	6	,	,	PUNCT
ijassa-859	150	7	all	all	DET
ijassa-859	150	8	explanatory	explanatory	ADJ
ijassa-859	150	9	variables	variable	NOUN
ijassa-859	150	10	in	in	ADP
ijassa-859	150	11	both	both	DET
ijassa-859	150	12	models	model	NOUN
ijassa-859	150	13	except	except	SCONJ
ijassa-859	150	14	intensityofconnections	intensityofconnection	NOUN
ijassa-859	150	15	,	,	PUNCT
ijassa-859	150	16	which	which	PRON
ijassa-859	150	17	describe	describe	VERB
ijassa-859	150	18	the	the	DET
ijassa-859	150	19	output	output	NOUN
ijassa-859	150	20	stream	stream	NOUN
ijassa-859	150	21	traffic	traffic	NOUN
ijassa-859	150	22	,	,	PUNCT
ijassa-859	150	23	are	be	AUX
ijassa-859	150	24	significant	significant	ADJ
ijassa-859	150	25	at	at	ADP
ijassa-859	150	26	a	a	DET
ijassa-859	150	27	1	1	NUM
ijassa-859	150	28	%	%	NOUN
ijassa-859	150	29	level	level	NOUN
ijassa-859	150	30	.	.	PUNCT
ijassa-859	151	1	we	we	PRON
ijassa-859	151	2	also	also	ADV
ijassa-859	151	3	note	note	VERB
ijassa-859	151	4	that	that	SCONJ
ijassa-859	151	5	in	in	ADP
ijassa-859	151	6	both	both	DET
ijassa-859	151	7	models	model	NOUN
ijassa-859	151	8	the	the	DET
ijassa-859	151	9	values	value	NOUN
ijassa-859	151	10	of	of	ADP
ijassa-859	151	11	the	the	DET
ijassa-859	151	12	determination	determination	NOUN
ijassa-859	151	13	coefficients	coefficient	NOUN
ijassa-859	151	14	are	be	AUX
ijassa-859	151	15	quite	quite	ADV
ijassa-859	151	16	high	high	ADJ
ijassa-859	151	17	.	.	PUNCT
ijassa-859	152	1	comparing	compare	VERB
ijassa-859	152	2	the	the	DET
ijassa-859	152	3	coefficients	coefficient	NOUN
ijassa-859	152	4	for	for	ADP
ijassa-859	152	5	significant	significant	ADJ
ijassa-859	152	6	variables	variable	NOUN
ijassa-859	152	7	in	in	ADP
ijassa-859	152	8	both	both	DET
ijassa-859	152	9	models	model	NOUN
ijassa-859	152	10	,	,	PUNCT
ijassa-859	152	11	we	we	PRON
ijassa-859	152	12	can	can	AUX
ijassa-859	152	13	draw	draw	VERB
ijassa-859	152	14	the	the	DET
ijassa-859	152	15	following	following	ADJ
ijassa-859	152	16	conclusions	conclusion	NOUN
ijassa-859	152	17	:	:	PUNCT
ijassa-859	152	18	1	1	X
ijassa-859	152	19	.	.	X
ijassa-859	152	20	an	an	DET
ijassa-859	152	21	increase	increase	NOUN
ijassa-859	152	22	in	in	ADP
ijassa-859	152	23	the	the	DET
ijassa-859	152	24	ugv	ugv	NOUN
ijassa-859	152	25	input	input	NOUN
ijassa-859	152	26	stream	stream	NOUN
ijassa-859	152	27	intensity	intensity	NOUN
ijassa-859	152	28	by	by	ADP
ijassa-859	152	29	0.005	0.005	NUM
ijassa-859	152	30	units	unit	NOUN
ijassa-859	152	31	of	of	ADP
ijassa-859	152	32	model	model	NOUN
ijassa-859	152	33	time	time	NOUN
ijassa-859	152	34	(	(	PUNCT
ijassa-859	152	35	variation	variation	NOUN
ijassa-859	152	36	step	step	NOUN
ijassa-859	152	37	,	,	PUNCT
ijassa-859	152	38	table	table	NOUN
ijassa-859	152	39	2.1	2.1	NUM
ijassa-859	152	40	)	)	PUNCT
ijassa-859	152	41	leads	lead	VERB
ijassa-859	152	42	to	to	ADP
ijassa-859	152	43	an	an	DET
ijassa-859	152	44	increase	increase	NOUN
ijassa-859	152	45	in	in	ADP
ijassa-859	152	46	model	model	NOUN
ijassa-859	152	47	2	2	NUM
ijassa-859	152	48	output	output	NOUN
ijassa-859	152	49	stream	stream	NOUN
ijassa-859	152	50	traffic	traffic	NOUN
ijassa-859	152	51	compared	compare	VERB
ijassa-859	152	52	to	to	PART
ijassa-859	152	53	model	model	VERB
ijassa-859	152	54	1	1	NUM
ijassa-859	152	55	output	output	NOUN
ijassa-859	152	56	stream	stream	NOUN
ijassa-859	152	57	traffic	traffic	NOUN
ijassa-859	152	58	by	by	ADP
ijassa-859	152	59	about	about	ADV
ijassa-859	152	60	1.76	1.76	NUM
ijassa-859	152	61	units	unit	NOUN
ijassa-859	152	62	.	.	PUNCT
ijassa-859	153	1	for	for	ADP
ijassa-859	153	2	mgv	mgv	NOUN
ijassa-859	153	3	,	,	PUNCT
ijassa-859	153	4	the	the	DET
ijassa-859	153	5	indicated	indicate	VERB
ijassa-859	153	6	difference	difference	NOUN
ijassa-859	153	7	is	be	AUX
ijassa-859	153	8	0.81	0.81	NUM
ijassa-859	153	9	units	unit	NOUN
ijassa-859	153	10	.	.	PUNCT
ijassa-859	154	1	2	2	X
ijassa-859	154	2	.	.	X
ijassa-859	154	3	an	an	DET
ijassa-859	154	4	increase	increase	NOUN
ijassa-859	154	5	in	in	ADP
ijassa-859	154	6	the	the	DET
ijassa-859	154	7	average	average	ADJ
ijassa-859	154	8	ugv	ugv	NOUN
ijassa-859	154	9	speed	speed	NOUN
ijassa-859	154	10	by	by	ADP
ijassa-859	154	11	10	10	NUM
ijassa-859	154	12	km	km	NOUN
ijassa-859	154	13	/	/	SYM
ijassa-859	154	14	h	h	NOUN
ijassa-859	154	15	(	(	PUNCT
ijassa-859	154	16	variation	variation	NOUN
ijassa-859	154	17	step	step	NOUN
ijassa-859	154	18	,	,	PUNCT
ijassa-859	154	19	table	table	NOUN
ijassa-859	154	20	2.1	2.1	NUM
ijassa-859	154	21	)	)	PUNCT
ijassa-859	154	22	leads	lead	VERB
ijassa-859	154	23	to	to	ADP
ijassa-859	154	24	an	an	DET
ijassa-859	154	25	increase	increase	NOUN
ijassa-859	154	26	in	in	ADP
ijassa-859	154	27	the	the	DET
ijassa-859	154	28	output	output	NOUN
ijassa-859	154	29	stream	stream	NOUN
ijassa-859	154	30	traffic	traffic	NOUN
ijassa-859	154	31	of	of	ADP
ijassa-859	154	32	model	model	NOUN
ijassa-859	154	33	2	2	NUM
ijassa-859	154	34	compared	compare	VERB
ijassa-859	154	35	with	with	ADP
ijassa-859	154	36	the	the	DET
ijassa-859	154	37	output	output	NOUN
ijassa-859	154	38	stream	stream	NOUN
ijassa-859	154	39	traffic	traffic	NOUN
ijassa-859	154	40	of	of	ADP
ijassa-859	154	41	model	model	NOUN
ijassa-859	154	42	1	1	NUM
ijassa-859	154	43	by	by	ADP
ijassa-859	154	44	1.4	1.4	NUM
ijassa-859	154	45	units	unit	NOUN
ijassa-859	154	46	.	.	PUNCT
ijassa-859	155	1	for	for	ADP
ijassa-859	155	2	mgv	mgv	NOUN
ijassa-859	155	3	,	,	PUNCT
ijassa-859	155	4	the	the	DET
ijassa-859	155	5	indicated	indicate	VERB
ijassa-859	155	6	difference	difference	NOUN
ijassa-859	155	7	is	be	AUX
ijassa-859	155	8	2.8	2.8	NUM
ijassa-859	155	9	units	unit	NOUN
ijassa-859	155	10	.	.	PUNCT
ijassa-859	156	1	4.2	4.2	NUM
ijassa-859	156	2	.	.	PUNCT
ijassa-859	156	3	results	result	NOUN
ijassa-859	156	4	of	of	ADP
ijassa-859	156	5	an	an	DET
ijassa-859	156	6	econometric	econometric	ADJ
ijassa-859	156	7	analysis	analysis	NOUN
ijassa-859	156	8	of	of	ADP
ijassa-859	156	9	the	the	DET
ijassa-859	156	10	number	number	NOUN
ijassa-859	156	11	of	of	ADP
ijassa-859	156	12	accidents	accident	NOUN
ijassa-859	156	13	in	in	ADP
ijassa-859	156	14	the	the	DET
ijassa-859	156	15	framework	framework	NOUN
ijassa-859	156	16	of	of	ADP
ijassa-859	156	17	linear	linear	PROPN
ijassa-859	156	18	regression	regression	NOUN
ijassa-859	156	19	equations	equation	NOUN
ijassa-859	156	20	here	here	ADV
ijassa-859	156	21	are	be	AUX
ijassa-859	156	22	the	the	DET
ijassa-859	156	23	results	result	NOUN
ijassa-859	156	24	of	of	ADP
ijassa-859	156	25	evaluating	evaluate	VERB
ijassa-859	156	26	the	the	DET
ijassa-859	156	27	dependence	dependence	NOUN
ijassa-859	156	28	of	of	ADP
ijassa-859	156	29	the	the	DET
ijassa-859	156	30	number	number	NOUN
ijassa-859	156	31	of	of	ADP
ijassa-859	156	32	accidents	accident	NOUN
ijassa-859	156	33	on	on	ADP
ijassa-859	156	34	the	the	DET
ijassa-859	156	35	above	above	ADJ
ijassa-859	156	36	set	set	NOUN
ijassa-859	156	37	of	of	ADP
ijassa-859	156	38	explanatory	explanatory	ADJ
ijassa-859	156	39	variables	variable	NOUN
ijassa-859	156	40	(	(	PUNCT
ijassa-859	156	41	table	table	NOUN
ijassa-859	156	42	4.2	4.2	NUM
ijassa-859	156	43	)	)	PUNCT
ijassa-859	156	44	.	.	PUNCT
ijassa-859	157	1	table	table	NOUN
ijassa-859	157	2	4.2	4.2	NUM
ijassa-859	157	3	.	.	PUNCT
ijassa-859	158	1	dependent	dependent	ADJ
ijassa-859	158	2	variable	variable	NOUN
ijassa-859	158	3	–	–	PUNCT
ijassa-859	158	4	number	number	NOUN
ijassa-859	158	5	of	of	ADP
ijassa-859	158	6	accidents	accident	NOUN
ijassa-859	158	7	,	,	PUNCT
ijassa-859	158	8	linear	linear	ADJ
ijassa-859	158	9	regression	regression	NOUN
ijassa-859	158	10	explanatory	explanatory	ADJ
ijassa-859	158	11	variables	variable	NOUN
ijassa-859	158	12	model	model	VERB
ijassa-859	158	13	1	1	NUM
ijassa-859	158	14	model	model	NOUN
ijassa-859	158	15	2	2	NUM
ijassa-859	158	16	constant	constant	ADJ
ijassa-859	158	17	-22.46	-22.46	NOUN
ijassa-859	158	18	*	*	NOUN
ijassa-859	158	19	*	*	PUNCT
ijassa-859	158	20	*	*	PUNCT
ijassa-859	158	21	(	(	PUNCT
ijassa-859	158	22	0.20	0.20	NUM
ijassa-859	158	23	)	)	PUNCT
ijassa-859	158	24	-6.34	-6.34	NOUN
ijassa-859	158	25	*	*	PUNCT
ijassa-859	158	26	*	*	PUNCT
ijassa-859	158	27	(	(	PUNCT
ijassa-859	158	28	0.24	0.24	NUM
ijassa-859	158	29	)	)	PUNCT
ijassa-859	158	30	intensityofuncrewedvehicles	intensityofuncrewedvehicle	NOUN
ijassa-859	158	31	797.77	797.77	NUM
ijassa-859	158	32	*	*	PUNCT
ijassa-859	158	33	*	*	PUNCT
ijassa-859	158	34	*	*	PUNCT
ijassa-859	158	35	(	(	PUNCT
ijassa-859	158	36	2.98	2.98	NUM
ijassa-859	158	37	)	)	PUNCT
ijassa-859	158	38	414.23	414.23	NUM
ijassa-859	158	39	*	*	PUNCT
ijassa-859	158	40	*	*	PUNCT
ijassa-859	158	41	*	*	PUNCT
ijassa-859	158	42	(	(	PUNCT
ijassa-859	158	43	3.96	3.96	NUM
ijassa-859	158	44	)	)	PUNCT
ijassa-859	158	45	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	158	46	810.13	810.13	NUM
ijassa-859	158	47	*	*	PUNCT
ijassa-859	158	48	*	*	PUNCT
ijassa-859	158	49	*	*	PUNCT
ijassa-859	158	50	(	(	PUNCT
ijassa-859	158	51	3.14	3.14	NUM
ijassa-859	158	52	)	)	PUNCT
ijassa-859	158	53	546.11	546.11	NUM
ijassa-859	158	54	*	*	PUNCT
ijassa-859	158	55	*	*	PUNCT
ijassa-859	158	56	*	*	PUNCT
ijassa-859	158	57	(	(	PUNCT
ijassa-859	158	58	4.00	4.00	NUM
ijassa-859	158	59	)	)	PUNCT
ijassa-859	158	60	speedofuncrewedvehicles	speedofuncrewedvehicle	NOUN
ijassa-859	158	61	0.07	0.07	NUM
ijassa-859	158	62	*	*	PUNCT
ijassa-859	158	63	*	*	PUNCT
ijassa-859	158	64	*	*	PUNCT
ijassa-859	158	65	(	(	PUNCT
ijassa-859	158	66	0.001	0.001	NUM
ijassa-859	158	67	)	)	PUNCT
ijassa-859	158	68	0.04	0.04	NUM
ijassa-859	158	69	*	*	PUNCT
ijassa-859	158	70	*	*	PUNCT
ijassa-859	158	71	*	*	PUNCT
ijassa-859	158	72	(	(	PUNCT
ijassa-859	158	73	0.001	0.001	NUM
ijassa-859	158	74	)	)	PUNCT
ijassa-859	158	75	speedofusualagents	speedofusualagent	NOUN
ijassa-859	158	76	-0.15	-0.15	X
ijassa-859	158	77	*	*	PUNCT
ijassa-859	158	78	*	*	PUNCT
ijassa-859	158	79	*	*	PUNCT
ijassa-859	158	80	(	(	PUNCT
ijassa-859	158	81	0.001	0.001	NUM
ijassa-859	158	82	)	)	PUNCT
ijassa-859	158	83	-0.22	-0.22	NOUN
ijassa-859	158	84	*	*	NOUN
ijassa-859	158	85	*	*	PUNCT
ijassa-859	158	86	*	*	PUNCT
ijassa-859	158	87	(	(	PUNCT
ijassa-859	158	88	0.002	0.002	NUM
ijassa-859	158	89	)	)	PUNCT
ijassa-859	158	90	intensityofconnections	intensityofconnection	NOUN
ijassa-859	159	1	-0.16	-0.16	INTJ
ijassa-859	159	2	(	(	PUNCT
ijassa-859	159	3	0.13	0.13	NUM
ijassa-859	159	4	)	)	PUNCT
ijassa-859	159	5	0.12	0.12	NUM
ijassa-859	159	6	(	(	PUNCT
ijassa-859	159	7	0.16	0.16	NUM
ijassa-859	159	8	)	)	PUNCT
ijassa-859	159	9	r2	r2	NOUN
ijassa-859	159	10	0.62	0.62	NUM
ijassa-859	159	11	0.45	0.45	NUM
ijassa-859	159	12	note	note	NOUN
ijassa-859	159	13	.	.	PUNCT
ijassa-859	160	1	in	in	ADP
ijassa-859	160	2	parentheses	parenthesis	NOUN
ijassa-859	160	3	are	be	AUX
ijassa-859	160	4	the	the	DET
ijassa-859	160	5	values	value	NOUN
ijassa-859	160	6	of	of	ADP
ijassa-859	160	7	standard	standard	ADJ
ijassa-859	160	8	errors	error	NOUN
ijassa-859	160	9	.	.	PUNCT
ijassa-859	161	1	*	*	PUNCT
ijassa-859	162	1	*	*	PUNCT
ijassa-859	162	2	*	*	PUNCT
ijassa-859	162	3	,	,	PUNCT
ijassa-859	162	4	*	*	PUNCT
ijassa-859	162	5	*	*	PUNCT
ijassa-859	162	6	,	,	PUNCT
ijassa-859	162	7	*	*	PUNCT
ijassa-859	162	8	–	–	PUNCT
ijassa-859	162	9	significance	significance	NOUN
ijassa-859	162	10	at	at	ADP
ijassa-859	162	11	the	the	DET
ijassa-859	162	12	1	1	NUM
ijassa-859	162	13	,	,	PUNCT
ijassa-859	162	14	5	5	NUM
ijassa-859	162	15	and	and	CCONJ
ijassa-859	162	16	10	10	NUM
ijassa-859	162	17	%	%	NOUN
ijassa-859	162	18	level	level	NOUN
ijassa-859	162	19	,	,	PUNCT
ijassa-859	162	20	respectively	respectively	ADV
ijassa-859	162	21	.	.	PUNCT
ijassa-859	163	1	52	52	NUM
ijassa-859	163	2	a.	a.	NOUN
ijassa-859	163	3	akopov	akopov	PROPN
ijassa-859	163	4	,	,	PUNCT
ijassa-859	163	5	n.	n.	PROPN
ijassa-859	163	6	khachatryan	khachatryan	PROPN
ijassa-859	163	7	,	,	PUNCT
ijassa-859	163	8	f.	f.	PROPN
ijassa-859	163	9	belousov	belousov	PROPN
ijassa-859	163	10	copyright	copyright	NOUN
ijassa-859	163	11	©	©	PROPN
ijassa-859	163	12	2020	2020	NUM
ijassa-859	163	13	assa	assa	PROPN
ijassa-859	163	14	adv	adv	PROPN
ijassa-859	163	15	.	.	PUNCT
ijassa-859	164	1	in	in	ADP
ijassa-859	164	2	systems	system	NOUN
ijassa-859	164	3	science	science	NOUN
ijassa-859	164	4	and	and	CCONJ
ijassa-859	164	5	appl	appl	NOUN
ijassa-859	164	6	.	.	PUNCT
ijassa-859	165	1	(	(	PUNCT
ijassa-859	165	2	2020	2020	NUM
ijassa-859	165	3	)	)	PUNCT
ijassa-859	165	4	from	from	ADP
ijassa-859	165	5	table	table	NOUN
ijassa-859	165	6	4.2	4.2	NUM
ijassa-859	165	7	it	it	PRON
ijassa-859	165	8	follows	follow	VERB
ijassa-859	165	9	that	that	SCONJ
ijassa-859	165	10	,	,	PUNCT
ijassa-859	165	11	as	as	ADP
ijassa-859	165	12	in	in	ADP
ijassa-859	165	13	the	the	DET
ijassa-859	165	14	previous	previous	ADJ
ijassa-859	165	15	case	case	NOUN
ijassa-859	165	16	,	,	PUNCT
ijassa-859	165	17	the	the	DET
ijassa-859	165	18	intensityofconnections	intensityofconnection	NOUN
ijassa-859	165	19	variable	variable	NOUN
ijassa-859	165	20	is	be	AUX
ijassa-859	165	21	not	not	PART
ijassa-859	165	22	significant	significant	ADJ
ijassa-859	165	23	.	.	PUNCT
ijassa-859	166	1	all	all	DET
ijassa-859	166	2	other	other	ADJ
ijassa-859	166	3	explanatory	explanatory	ADJ
ijassa-859	166	4	variables	variable	NOUN
ijassa-859	166	5	describing	describe	VERB
ijassa-859	166	6	the	the	DET
ijassa-859	166	7	number	number	NOUN
ijassa-859	166	8	of	of	ADP
ijassa-859	166	9	accidents	accident	NOUN
ijassa-859	166	10	in	in	ADP
ijassa-859	166	11	both	both	DET
ijassa-859	166	12	models	model	NOUN
ijassa-859	166	13	are	be	AUX
ijassa-859	166	14	significant	significant	ADJ
ijassa-859	166	15	at	at	ADP
ijassa-859	166	16	a	a	DET
ijassa-859	166	17	1	1	NUM
ijassa-859	166	18	%	%	NOUN
ijassa-859	166	19	level	level	NOUN
ijassa-859	166	20	.	.	PUNCT
ijassa-859	167	1	the	the	DET
ijassa-859	167	2	positive	positive	ADJ
ijassa-859	167	3	values	value	NOUN
ijassa-859	167	4	of	of	ADP
ijassa-859	167	5	the	the	DET
ijassa-859	167	6	coefficients	coefficient	NOUN
ijassa-859	167	7	in	in	ADP
ijassa-859	167	8	the	the	DET
ijassa-859	167	9	variables	variable	NOUN
ijassa-859	167	10	intensityofuncrewedvehicles	intensityofuncrewedvehicle	NOUN
ijassa-859	167	11	and	and	CCONJ
ijassa-859	167	12	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	167	13	are	be	AUX
ijassa-859	167	14	quite	quite	ADV
ijassa-859	167	15	natural	natural	ADJ
ijassa-859	167	16	.	.	PUNCT
ijassa-859	168	1	the	the	DET
ijassa-859	168	2	average	average	ADJ
ijassa-859	168	3	speed	speed	NOUN
ijassa-859	168	4	of	of	ADP
ijassa-859	168	5	ugv	ugv	NOUN
ijassa-859	168	6	has	have	VERB
ijassa-859	168	7	a	a	DET
ijassa-859	168	8	positive	positive	ADJ
ijassa-859	168	9	effect	effect	NOUN
ijassa-859	168	10	on	on	ADP
ijassa-859	168	11	the	the	DET
ijassa-859	168	12	number	number	NOUN
ijassa-859	168	13	of	of	ADP
ijassa-859	168	14	accidents	accident	NOUN
ijassa-859	168	15	,	,	PUNCT
ijassa-859	168	16	and	and	CCONJ
ijassa-859	168	17	the	the	DET
ijassa-859	168	18	average	average	ADJ
ijassa-859	168	19	speed	speed	NOUN
ijassa-859	168	20	of	of	ADP
ijassa-859	168	21	mgv	mgv	NOUN
ijassa-859	168	22	is	be	AUX
ijassa-859	168	23	negative	negative	ADJ
ijassa-859	168	24	.	.	PUNCT
ijassa-859	169	1	this	this	PRON
ijassa-859	169	2	is	be	AUX
ijassa-859	169	3	explained	explain	VERB
ijassa-859	169	4	as	as	SCONJ
ijassa-859	169	5	follows	follow	VERB
ijassa-859	169	6	:	:	PUNCT
ijassa-859	169	7	an	an	DET
ijassa-859	169	8	increase	increase	NOUN
ijassa-859	169	9	in	in	ADP
ijassa-859	169	10	the	the	DET
ijassa-859	169	11	speed	speed	NOUN
ijassa-859	169	12	of	of	ADP
ijassa-859	169	13	mgv	mgv	NOUN
ijassa-859	169	14	,	,	PUNCT
ijassa-859	169	15	in	in	ADP
ijassa-859	169	16	contrast	contrast	NOUN
ijassa-859	169	17	to	to	ADP
ijassa-859	169	18	an	an	DET
ijassa-859	169	19	increase	increase	NOUN
ijassa-859	169	20	in	in	ADP
ijassa-859	169	21	the	the	DET
ijassa-859	169	22	speed	speed	NOUN
ijassa-859	169	23	of	of	ADP
ijassa-859	169	24	ugv	ugv	NOUN
ijassa-859	169	25	,	,	PUNCT
ijassa-859	169	26	is	be	AUX
ijassa-859	169	27	a	a	DET
ijassa-859	169	28	result	result	NOUN
ijassa-859	169	29	of	of	ADP
ijassa-859	169	30	enough	enough	ADJ
ijassa-859	169	31	free	free	ADJ
ijassa-859	169	32	traffic	traffic	NOUN
ijassa-859	169	33	and	and	CCONJ
ijassa-859	169	34	leads	lead	VERB
ijassa-859	169	35	to	to	ADP
ijassa-859	169	36	a	a	DET
ijassa-859	169	37	decrease	decrease	NOUN
ijassa-859	169	38	in	in	ADP
ijassa-859	169	39	road	road	NOUN
ijassa-859	169	40	congestion	congestion	NOUN
ijassa-859	169	41	,	,	PUNCT
ijassa-859	169	42	and	and	CCONJ
ijassa-859	169	43	an	an	DET
ijassa-859	169	44	increase	increase	NOUN
ijassa-859	169	45	in	in	ADP
ijassa-859	169	46	the	the	DET
ijassa-859	169	47	speed	speed	NOUN
ijassa-859	169	48	of	of	ADP
ijassa-859	169	49	ugv	ugv	NOUN
ijassa-859	169	50	can	can	AUX
ijassa-859	169	51	lead	lead	VERB
ijassa-859	169	52	to	to	ADP
ijassa-859	169	53	unpredictable	unpredictable	ADJ
ijassa-859	169	54	actions	action	NOUN
ijassa-859	169	55	by	by	ADP
ijassa-859	169	56	mgv	mgv	NOUN
ijassa-859	169	57	.	.	PUNCT
ijassa-859	170	1	comparing	compare	VERB
ijassa-859	170	2	coefficients	coefficient	NOUN
ijassa-859	170	3	for	for	ADP
ijassa-859	170	4	explanatory	explanatory	ADJ
ijassa-859	170	5	variables	variable	NOUN
ijassa-859	170	6	in	in	ADP
ijassa-859	170	7	both	both	DET
ijassa-859	170	8	models	model	NOUN
ijassa-859	170	9	,	,	PUNCT
ijassa-859	170	10	we	we	PRON
ijassa-859	170	11	can	can	AUX
ijassa-859	170	12	draw	draw	VERB
ijassa-859	170	13	the	the	DET
ijassa-859	170	14	following	following	ADJ
ijassa-859	170	15	conclusions	conclusion	NOUN
ijassa-859	170	16	:	:	PUNCT
ijassa-859	170	17	1	1	X
ijassa-859	170	18	.	.	X
ijassa-859	170	19	an	an	DET
ijassa-859	170	20	increase	increase	NOUN
ijassa-859	170	21	in	in	ADP
ijassa-859	170	22	ugv	ugv	NOUN
ijassa-859	170	23	input	input	NOUN
ijassa-859	170	24	stream	stream	NOUN
ijassa-859	170	25	intensity	intensity	NOUN
ijassa-859	170	26	by	by	ADP
ijassa-859	170	27	0.005	0.005	NUM
ijassa-859	170	28	units	unit	NOUN
ijassa-859	170	29	of	of	ADP
ijassa-859	170	30	model	model	NOUN
ijassa-859	170	31	time	time	NOUN
ijassa-859	170	32	(	(	PUNCT
ijassa-859	170	33	variation	variation	NOUN
ijassa-859	170	34	step	step	NOUN
ijassa-859	170	35	,	,	PUNCT
ijassa-859	170	36	table	table	NOUN
ijassa-859	170	37	2.1	2.1	NUM
ijassa-859	170	38	)	)	PUNCT
ijassa-859	170	39	leads	lead	VERB
ijassa-859	170	40	to	to	ADP
ijassa-859	170	41	a	a	DET
ijassa-859	170	42	decrease	decrease	NOUN
ijassa-859	170	43	in	in	ADP
ijassa-859	170	44	the	the	DET
ijassa-859	170	45	number	number	NOUN
ijassa-859	170	46	of	of	ADP
ijassa-859	170	47	accidents	accident	NOUN
ijassa-859	170	48	in	in	ADP
ijassa-859	170	49	model	model	NOUN
ijassa-859	170	50	2	2	NUM
ijassa-859	170	51	compared	compare	VERB
ijassa-859	170	52	to	to	ADP
ijassa-859	170	53	the	the	DET
ijassa-859	170	54	number	number	NOUN
ijassa-859	170	55	of	of	ADP
ijassa-859	170	56	accidents	accident	NOUN
ijassa-859	170	57	in	in	ADP
ijassa-859	170	58	model	model	NOUN
ijassa-859	170	59	1	1	NUM
ijassa-859	170	60	by	by	ADP
ijassa-859	170	61	about	about	ADV
ijassa-859	170	62	1.92	1.92	NUM
ijassa-859	170	63	units	unit	NOUN
ijassa-859	170	64	.	.	PUNCT
ijassa-859	171	1	for	for	ADP
ijassa-859	171	2	mgv	mgv	NOUN
ijassa-859	171	3	,	,	PUNCT
ijassa-859	171	4	the	the	DET
ijassa-859	171	5	indicated	indicate	VERB
ijassa-859	171	6	difference	difference	NOUN
ijassa-859	171	7	is	be	AUX
ijassa-859	171	8	about	about	ADV
ijassa-859	171	9	1.6	1.6	NUM
ijassa-859	171	10	units	unit	NOUN
ijassa-859	171	11	.	.	PUNCT
ijassa-859	172	1	2	2	X
ijassa-859	172	2	.	.	X
ijassa-859	172	3	an	an	DET
ijassa-859	172	4	increase	increase	NOUN
ijassa-859	172	5	in	in	ADP
ijassa-859	172	6	the	the	DET
ijassa-859	172	7	average	average	ADJ
ijassa-859	172	8	ugv	ugv	NOUN
ijassa-859	172	9	speed	speed	NOUN
ijassa-859	172	10	by	by	ADP
ijassa-859	172	11	10	10	NUM
ijassa-859	172	12	km	km	NOUN
ijassa-859	172	13	/	/	SYM
ijassa-859	172	14	h	h	NOUN
ijassa-859	172	15	(	(	PUNCT
ijassa-859	172	16	variation	variation	NOUN
ijassa-859	172	17	step	step	NOUN
ijassa-859	172	18	,	,	PUNCT
ijassa-859	172	19	table	table	NOUN
ijassa-859	172	20	2.1	2.1	NUM
ijassa-859	172	21	)	)	PUNCT
ijassa-859	172	22	leads	lead	VERB
ijassa-859	172	23	to	to	ADP
ijassa-859	172	24	a	a	DET
ijassa-859	172	25	decrease	decrease	NOUN
ijassa-859	172	26	in	in	ADP
ijassa-859	172	27	the	the	DET
ijassa-859	172	28	number	number	NOUN
ijassa-859	172	29	of	of	ADP
ijassa-859	172	30	accidents	accident	NOUN
ijassa-859	172	31	in	in	ADP
ijassa-859	172	32	model	model	NOUN
ijassa-859	172	33	2	2	NUM
ijassa-859	172	34	compared	compare	VERB
ijassa-859	172	35	with	with	ADP
ijassa-859	172	36	the	the	DET
ijassa-859	172	37	number	number	NOUN
ijassa-859	172	38	of	of	ADP
ijassa-859	172	39	accidents	accident	NOUN
ijassa-859	172	40	in	in	ADP
ijassa-859	172	41	model	model	NOUN
ijassa-859	172	42	1	1	NUM
ijassa-859	172	43	by	by	ADP
ijassa-859	172	44	0.3	0.3	NUM
ijassa-859	172	45	units	unit	NOUN
ijassa-859	172	46	.	.	PUNCT
ijassa-859	173	1	for	for	ADP
ijassa-859	173	2	mgv	mgv	NOUN
ijassa-859	173	3	,	,	PUNCT
ijassa-859	173	4	the	the	DET
ijassa-859	173	5	indicated	indicate	VERB
ijassa-859	173	6	difference	difference	NOUN
ijassa-859	173	7	is	be	AUX
ijassa-859	173	8	0.7	0.7	NUM
ijassa-859	173	9	units	unit	NOUN
ijassa-859	173	10	.	.	PUNCT
ijassa-859	174	1	in	in	ADP
ijassa-859	174	2	conclusion	conclusion	NOUN
ijassa-859	174	3	,	,	PUNCT
ijassa-859	174	4	we	we	PRON
ijassa-859	174	5	note	note	VERB
ijassa-859	174	6	that	that	SCONJ
ijassa-859	174	7	evaluating	evaluate	VERB
ijassa-859	174	8	the	the	DET
ijassa-859	174	9	dependence	dependence	NOUN
ijassa-859	174	10	of	of	ADP
ijassa-859	174	11	the	the	DET
ijassa-859	174	12	output	output	NOUN
ijassa-859	174	13	stream	stream	NOUN
ijassa-859	174	14	traffic	traffic	NOUN
ijassa-859	174	15	and	and	CCONJ
ijassa-859	174	16	the	the	DET
ijassa-859	174	17	number	number	NOUN
ijassa-859	174	18	of	of	ADP
ijassa-859	174	19	accidents	accident	NOUN
ijassa-859	174	20	on	on	ADP
ijassa-859	174	21	the	the	DET
ijassa-859	174	22	specified	specified	ADJ
ijassa-859	174	23	model	model	NOUN
ijassa-859	174	24	parameters	parameter	NOUN
ijassa-859	174	25	using	use	VERB
ijassa-859	174	26	the	the	DET
ijassa-859	174	27	linear	linear	ADJ
ijassa-859	174	28	function	function	NOUN
ijassa-859	174	29	gives	give	VERB
ijassa-859	174	30	generally	generally	ADV
ijassa-859	174	31	good	good	ADJ
ijassa-859	174	32	results	result	NOUN
ijassa-859	174	33	.	.	PUNCT
ijassa-859	175	1	only	only	ADV
ijassa-859	175	2	an	an	DET
ijassa-859	175	3	assessment	assessment	NOUN
ijassa-859	175	4	of	of	ADP
ijassa-859	175	5	the	the	DET
ijassa-859	175	6	dependence	dependence	NOUN
ijassa-859	175	7	of	of	ADP
ijassa-859	175	8	the	the	DET
ijassa-859	175	9	number	number	NOUN
ijassa-859	175	10	of	of	ADP
ijassa-859	175	11	accidents	accident	NOUN
ijassa-859	175	12	on	on	ADP
ijassa-859	175	13	the	the	DET
ijassa-859	175	14	studied	studied	ADJ
ijassa-859	175	15	parameters	parameter	NOUN
ijassa-859	175	16	in	in	ADP
ijassa-859	175	17	model	model	NOUN
ijassa-859	175	18	2	2	NUM
ijassa-859	175	19	can	can	AUX
ijassa-859	175	20	be	be	AUX
ijassa-859	175	21	called	call	VERB
ijassa-859	175	22	not	not	PART
ijassa-859	175	23	very	very	ADV
ijassa-859	175	24	successful	successful	ADJ
ijassa-859	175	25	due	due	ADP
ijassa-859	175	26	to	to	ADP
ijassa-859	175	27	the	the	DET
ijassa-859	175	28	rather	rather	ADV
ijassa-859	175	29	low	low	ADJ
ijassa-859	175	30	value	value	NOUN
ijassa-859	175	31	of	of	ADP
ijassa-859	175	32	the	the	DET
ijassa-859	175	33	determination	determination	NOUN
ijassa-859	175	34	coefficient	coefficient	NOUN
ijassa-859	175	35	equal	equal	ADJ
ijassa-859	175	36	to	to	ADP
ijassa-859	175	37	0.45	0.45	NUM
ijassa-859	175	38	.	.	PUNCT
ijassa-859	176	1	we	we	PRON
ijassa-859	176	2	proceed	proceed	VERB
ijassa-859	176	3	to	to	ADP
ijassa-859	176	4	the	the	DET
ijassa-859	176	5	estimation	estimation	NOUN
ijassa-859	176	6	of	of	ADP
ijassa-859	176	7	these	these	DET
ijassa-859	176	8	dependences	dependence	NOUN
ijassa-859	176	9	using	use	VERB
ijassa-859	176	10	a	a	DET
ijassa-859	176	11	nonlinear	nonlinear	ADJ
ijassa-859	176	12	function	function	NOUN
ijassa-859	176	13	.	.	PUNCT
ijassa-859	177	1	5	5	X
ijassa-859	177	2	.	.	NUM
ijassa-859	177	3	econometric	econometric	ADJ
ijassa-859	177	4	analysis	analysis	NOUN
ijassa-859	177	5	of	of	ADP
ijassa-859	177	6	traffic	traffic	NOUN
ijassa-859	177	7	characteristics	characteristic	NOUN
ijassa-859	177	8	in	in	ADP
ijassa-859	177	9	the	the	DET
ijassa-859	177	10	framework	framework	NOUN
ijassa-859	177	11	of	of	ADP
ijassa-859	177	12	nonlinear	nonlinear	ADJ
ijassa-859	177	13	regression	regression	NOUN
ijassa-859	177	14	equations	equation	NOUN
ijassa-859	177	15	let	let	VERB
ijassa-859	177	16	's	us	PRON
ijassa-859	177	17	proceed	proceed	VERB
ijassa-859	177	18	to	to	PART
ijassa-859	177	19	estimate	estimate	VERB
ijassa-859	177	20	the	the	DET
ijassa-859	177	21	dependences	dependence	NOUN
ijassa-859	177	22	of	of	ADP
ijassa-859	177	23	the	the	DET
ijassa-859	177	24	output	output	NOUN
ijassa-859	177	25	stream	stream	NOUN
ijassa-859	177	26	traffic	traffic	NOUN
ijassa-859	177	27	and	and	CCONJ
ijassa-859	177	28	the	the	DET
ijassa-859	177	29	number	number	NOUN
ijassa-859	177	30	of	of	ADP
ijassa-859	177	31	accidents	accident	NOUN
ijassa-859	177	32	in	in	ADP
ijassa-859	177	33	both	both	DET
ijassa-859	177	34	models	model	NOUN
ijassa-859	177	35	on	on	ADP
ijassa-859	177	36	the	the	DET
ijassa-859	177	37	indicated	indicate	VERB
ijassa-859	177	38	parameters	parameter	NOUN
ijassa-859	177	39	of	of	ADP
ijassa-859	177	40	the	the	DET
ijassa-859	177	41	model	model	NOUN
ijassa-859	177	42	in	in	ADP
ijassa-859	177	43	the	the	DET
ijassa-859	177	44	framework	framework	NOUN
ijassa-859	177	45	of	of	ADP
ijassa-859	177	46	nonlinear	nonlinear	ADJ
ijassa-859	177	47	regression	regression	NOUN
ijassa-859	177	48	equations	equation	NOUN
ijassa-859	177	49	.	.	PUNCT
ijassa-859	178	1	so	so	ADV
ijassa-859	178	2	,	,	PUNCT
ijassa-859	178	3	we	we	PRON
ijassa-859	178	4	will	will	AUX
ijassa-859	178	5	build	build	VERB
ijassa-859	178	6	and	and	CCONJ
ijassa-859	178	7	study	study	VERB
ijassa-859	178	8	power	power	NOUN
ijassa-859	178	9	regression	regression	NOUN
ijassa-859	178	10	equations	equation	NOUN
ijassa-859	178	11	with	with	ADP
ijassa-859	178	12	the	the	DET
ijassa-859	178	13	following	follow	VERB
ijassa-859	178	14	dependent	dependent	ADJ
ijassa-859	178	15	variables	variable	NOUN
ijassa-859	178	16	:	:	PUNCT
ijassa-859	178	17	•	•	NUM
ijassa-859	178	18	output	output	NOUN
ijassa-859	178	19	stream	stream	NOUN
ijassa-859	178	20	traffic	traffic	NOUN
ijassa-859	178	21	in	in	ADP
ijassa-859	178	22	model	model	NOUN
ijassa-859	178	23	1	1	NUM
ijassa-859	178	24	;	;	PUNCT
ijassa-859	178	25	•	•	NUM
ijassa-859	178	26	output	output	NOUN
ijassa-859	178	27	stream	stream	NOUN
ijassa-859	178	28	traffic	traffic	NOUN
ijassa-859	178	29	in	in	ADP
ijassa-859	178	30	model	model	NOUN
ijassa-859	178	31	2	2	NUM
ijassa-859	178	32	;	;	PUNCT
ijassa-859	178	33	•	•	NUM
ijassa-859	178	34	number	number	NOUN
ijassa-859	178	35	of	of	ADP
ijassa-859	178	36	accidents	accident	NOUN
ijassa-859	178	37	in	in	ADP
ijassa-859	178	38	model	model	NOUN
ijassa-859	178	39	1	1	NUM
ijassa-859	178	40	;	;	PUNCT
ijassa-859	178	41	•	•	NUM
ijassa-859	178	42	number	number	NOUN
ijassa-859	178	43	of	of	ADP
ijassa-859	178	44	accidents	accident	NOUN
ijassa-859	178	45	in	in	ADP
ijassa-859	178	46	model	model	NOUN
ijassa-859	178	47	2	2	NUM
ijassa-859	178	48	.	.	PUNCT
ijassa-859	179	1	after	after	ADP
ijassa-859	179	2	logarithming	logarithme	VERB
ijassa-859	179	3	of	of	ADP
ijassa-859	179	4	the	the	DET
ijassa-859	179	5	equation	equation	NOUN
ijassa-859	179	6	,	,	PUNCT
ijassa-859	179	7	the	the	DET
ijassa-859	179	8	coefficients	coefficient	NOUN
ijassa-859	179	9	were	be	AUX
ijassa-859	179	10	estimated	estimate	VERB
ijassa-859	179	11	in	in	ADP
ijassa-859	179	12	the	the	DET
ijassa-859	179	13	framework	framework	NOUN
ijassa-859	179	14	of	of	ADP
ijassa-859	179	15	the	the	DET
ijassa-859	179	16	classical	classical	ADJ
ijassa-859	179	17	multiple	multiple	ADJ
ijassa-859	179	18	regression	regression	NOUN
ijassa-859	179	19	model	model	NOUN
ijassa-859	179	20	using	use	VERB
ijassa-859	179	21	the	the	DET
ijassa-859	179	22	least	least	ADJ
ijassa-859	179	23	squares	square	NOUN
ijassa-859	179	24	method	method	NOUN
ijassa-859	179	25	,	,	PUNCT
ijassa-859	179	26	and	and	CCONJ
ijassa-859	179	27	standard	standard	ADJ
ijassa-859	179	28	errors	error	NOUN
ijassa-859	179	29	were	be	AUX
ijassa-859	179	30	estimated	estimate	VERB
ijassa-859	179	31	using	use	VERB
ijassa-859	179	32	the	the	DET
ijassa-859	179	33	white	white	ADJ
ijassa-859	179	34	procedure	procedure	NOUN
ijassa-859	179	35	.	.	PUNCT
ijassa-859	180	1	here	here	ADV
ijassa-859	180	2	are	be	AUX
ijassa-859	180	3	the	the	DET
ijassa-859	180	4	results	result	NOUN
ijassa-859	180	5	of	of	ADP
ijassa-859	180	6	evaluating	evaluate	VERB
ijassa-859	180	7	the	the	DET
ijassa-859	180	8	dependence	dependence	NOUN
ijassa-859	180	9	of	of	ADP
ijassa-859	180	10	the	the	DET
ijassa-859	180	11	output	output	NOUN
ijassa-859	180	12	stream	stream	NOUN
ijassa-859	180	13	traffic	traffic	NOUN
ijassa-859	180	14	(	(	PUNCT
ijassa-859	180	15	table	table	NOUN
ijassa-859	180	16	5.1	5.1	NUM
ijassa-859	180	17	)	)	PUNCT
ijassa-859	180	18	and	and	CCONJ
ijassa-859	180	19	the	the	DET
ijassa-859	180	20	number	number	NOUN
ijassa-859	180	21	of	of	ADP
ijassa-859	180	22	accidents	accident	NOUN
ijassa-859	180	23	(	(	PUNCT
ijassa-859	180	24	table	table	NOUN
ijassa-859	180	25	5.2	5.2	NUM
ijassa-859	180	26	)	)	PUNCT
ijassa-859	180	27	on	on	ADP
ijassa-859	180	28	the	the	DET
ijassa-859	180	29	indicated	indicate	VERB
ijassa-859	180	30	set	set	NOUN
ijassa-859	180	31	of	of	ADP
ijassa-859	180	32	explanatory	explanatory	ADJ
ijassa-859	180	33	variables	variable	NOUN
ijassa-859	180	34	.	.	PUNCT
ijassa-859	181	1	table	table	NOUN
ijassa-859	181	2	5.1	5.1	NUM
ijassa-859	181	3	.	.	PUNCT
ijassa-859	182	1	dependent	dependent	ADJ
ijassa-859	182	2	variable	variable	NOUN
ijassa-859	182	3	–	–	PUNCT
ijassa-859	182	4	.	.	PUNCT
ijassa-859	183	1	output	output	NOUN
ijassa-859	183	2	stream	stream	PROPN
ijassa-859	183	3	traffic	traffic	NOUN
ijassa-859	183	4	,	,	PUNCT
ijassa-859	183	5	nonlinear	nonlinear	ADJ
ijassa-859	183	6	regression	regression	NOUN
ijassa-859	183	7	explanatory	explanatory	ADJ
ijassa-859	183	8	variables	variable	NOUN
ijassa-859	183	9	model	model	VERB
ijassa-859	183	10	1	1	NUM
ijassa-859	183	11	model	model	NOUN
ijassa-859	183	12	2	2	NUM
ijassa-859	183	13	constant	constant	ADJ
ijassa-859	183	14	-2.65	-2.65	NOUN
ijassa-859	183	15	*	*	NOUN
ijassa-859	183	16	*	*	PUNCT
ijassa-859	183	17	*	*	PUNCT
ijassa-859	183	18	(	(	PUNCT
ijassa-859	183	19	0.03	0.03	NUM
ijassa-859	183	20	)	)	PUNCT
ijassa-859	183	21	-3.79	-3.79	NOUN
ijassa-859	183	22	*	*	NOUN
ijassa-859	183	23	*	*	PUNCT
ijassa-859	183	24	*	*	PUNCT
ijassa-859	183	25	(	(	PUNCT
ijassa-859	183	26	0.02	0.02	NUM
ijassa-859	183	27	)	)	PUNCT
ijassa-859	183	28	intensityofuncrewedvehicles	intensityofuncrewedvehicle	VERB
ijassa-859	183	29	0.08	0.08	NUM
ijassa-859	183	30	*	*	PUNCT
ijassa-859	183	31	*	*	PUNCT
ijassa-859	183	32	*	*	PUNCT
ijassa-859	183	33	(	(	PUNCT
ijassa-859	183	34	0.002	0.002	NUM
ijassa-859	183	35	)	)	PUNCT
ijassa-859	183	36	0.17	0.17	NUM
ijassa-859	183	37	*	*	PUNCT
ijassa-859	183	38	*	*	PUNCT
ijassa-859	183	39	*	*	PUNCT
ijassa-859	183	40	(	(	PUNCT
ijassa-859	183	41	0.002	0.002	NUM
ijassa-859	183	42	)	)	PUNCT
ijassa-859	183	43	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	183	44	0.08	0.08	NUM
ijassa-859	183	45	*	*	PUNCT
ijassa-859	183	46	*	*	PUNCT
ijassa-859	183	47	*	*	PUNCT
ijassa-859	183	48	(	(	PUNCT
ijassa-859	183	49	0.002	0.002	NUM
ijassa-859	183	50	)	)	PUNCT
ijassa-859	183	51	0.13	0.13	NUM
ijassa-859	183	52	*	*	PUNCT
ijassa-859	183	53	*	*	PUNCT
ijassa-859	183	54	*	*	PUNCT
ijassa-859	183	55	(	(	PUNCT
ijassa-859	183	56	0.002	0.002	NUM
ijassa-859	183	57	)	)	PUNCT
ijassa-859	183	58	speedofuncrewedvehicles	speedofuncrewedvehicle	NOUN
ijassa-859	183	59	0.55	0.55	NUM
ijassa-859	183	60	*	*	PUNCT
ijassa-859	183	61	*	*	PUNCT
ijassa-859	183	62	*	*	PUNCT
ijassa-859	183	63	(	(	PUNCT
ijassa-859	183	64	0.003	0.003	NUM
ijassa-859	183	65	)	)	PUNCT
ijassa-859	183	66	0.68	0.68	NUM
ijassa-859	183	67	*	*	PUNCT
ijassa-859	183	68	*	*	PUNCT
ijassa-859	183	69	*	*	PUNCT
ijassa-859	183	70	(	(	PUNCT
ijassa-859	183	71	0.003	0.003	NUM
ijassa-859	183	72	)	)	PUNCT
ijassa-859	183	73	speedofusualagents	speedofusualagent	NOUN
ijassa-859	183	74	1.07	1.07	NUM
ijassa-859	183	75	*	*	PUNCT
ijassa-859	183	76	*	*	PUNCT
ijassa-859	183	77	*	*	PUNCT
ijassa-859	183	78	(	(	PUNCT
ijassa-859	183	79	0.004	0.004	NUM
ijassa-859	183	80	)	)	PUNCT
ijassa-859	183	81	1.35	1.35	NUM
ijassa-859	183	82	*	*	PUNCT
ijassa-859	183	83	*	*	PUNCT
ijassa-859	183	84	*	*	PUNCT
ijassa-859	183	85	(	(	PUNCT
ijassa-859	183	86	0.003	0.003	NUM
ijassa-859	183	87	)	)	PUNCT
ijassa-859	183	88	intensityofconnections	intensityofconnection	NOUN
ijassa-859	183	89	0.002	0.002	NUM
ijassa-859	183	90	(	(	PUNCT
ijassa-859	183	91	0.002	0.002	NUM
ijassa-859	183	92	)	)	PUNCT
ijassa-859	183	93	-0.0000013	-0.0000013	NOUN
ijassa-859	183	94	(	(	PUNCT
ijassa-859	183	95	0.002	0.002	NUM
ijassa-859	183	96	)	)	PUNCT
ijassa-859	183	97	r2	r2	NOUN
ijassa-859	183	98	0.72	0.72	NUM
ijassa-859	183	99	0.77	0.77	NUM
ijassa-859	183	100	influence	influence	NOUN
ijassa-859	183	101	of	of	ADP
ijassa-859	183	102	unmanned	unmanned	ADJ
ijassa-859	183	103	vehicles	vehicle	NOUN
ijassa-859	183	104	on	on	ADP
ijassa-859	183	105	the	the	DET
ijassa-859	183	106	state	state	NOUN
ijassa-859	183	107	of	of	ADP
ijassa-859	183	108	the	the	DET
ijassa-859	183	109	transport	transport	NOUN
ijassa-859	183	110	network	network	NOUN
ijassa-859	183	111	53	53	NUM
ijassa-859	183	112	copyright	copyright	NOUN
ijassa-859	183	113	©	©	PROPN
ijassa-859	183	114	2020	2020	NUM
ijassa-859	183	115	assa	assa	NOUN
ijassa-859	183	116	.	.	PUNCT
ijassa-859	184	1	adv	adv	PROPN
ijassa-859	184	2	.	.	PUNCT
ijassa-859	185	1	in	in	ADP
ijassa-859	185	2	systems	system	NOUN
ijassa-859	185	3	science	science	NOUN
ijassa-859	185	4	and	and	CCONJ
ijassa-859	185	5	appl	appl	NOUN
ijassa-859	185	6	.	.	PUNCT
ijassa-859	186	1	(	(	PUNCT
ijassa-859	186	2	2020	2020	NUM
ijassa-859	186	3	)	)	PUNCT
ijassa-859	186	4	table	table	NOUN
ijassa-859	186	5	5.2	5.2	NUM
ijassa-859	186	6	.	.	PUNCT
ijassa-859	187	1	dependent	dependent	ADJ
ijassa-859	187	2	variable	variable	NOUN
ijassa-859	187	3	–	–	PUNCT
ijassa-859	187	4	number	number	NOUN
ijassa-859	187	5	of	of	ADP
ijassa-859	187	6	accidents	accident	NOUN
ijassa-859	187	7	,	,	PUNCT
ijassa-859	187	8	nonlinear	nonlinear	ADJ
ijassa-859	187	9	regression	regression	NOUN
ijassa-859	187	10	explanatory	explanatory	ADJ
ijassa-859	187	11	variables	variable	NOUN
ijassa-859	187	12	model	model	VERB
ijassa-859	187	13	1	1	NUM
ijassa-859	187	14	model	model	NOUN
ijassa-859	187	15	2	2	NUM
ijassa-859	187	16	constant	constant	ADJ
ijassa-859	187	17	11.77	11.77	NUM
ijassa-859	187	18	*	*	PUNCT
ijassa-859	187	19	*	*	PUNCT
ijassa-859	187	20	*	*	PUNCT
ijassa-859	187	21	(	(	PUNCT
ijassa-859	187	22	0.06	0.06	NUM
ijassa-859	187	23	)	)	PUNCT
ijassa-859	187	24	13.86	13.86	NUM
ijassa-859	187	25	*	*	PUNCT
ijassa-859	187	26	*	*	PUNCT
ijassa-859	187	27	*	*	PUNCT
ijassa-859	187	28	(	(	PUNCT
ijassa-859	187	29	0.07	0.07	NUM
ijassa-859	187	30	)	)	PUNCT
ijassa-859	187	31	intensityofuncrewedvehicles	intensityofuncrewedvehicle	VERB
ijassa-859	187	32	1.11	1.11	NUM
ijassa-859	187	33	*	*	PUNCT
ijassa-859	187	34	*	*	PUNCT
ijassa-859	187	35	*	*	NOUN
ijassa-859	187	36	0.005	0.005	NUM
ijassa-859	187	37	0.66	0.66	NUM
ijassa-859	187	38	*	*	PUNCT
ijassa-859	187	39	*	*	PUNCT
ijassa-859	187	40	*	*	PUNCT
ijassa-859	187	41	(	(	PUNCT
ijassa-859	187	42	0.006	0.006	NUM
ijassa-859	187	43	)	)	PUNCT
ijassa-859	187	44	intensityofusualagents	intensityofusualagent	NOUN
ijassa-859	187	45	1.10	1.10	NUM
ijassa-859	187	46	*	*	PUNCT
ijassa-859	187	47	*	*	PUNCT
ijassa-859	187	48	*	*	PUNCT
ijassa-859	187	49	(	(	PUNCT
ijassa-859	187	50	0.004	0.004	NUM
ijassa-859	187	51	)	)	PUNCT
ijassa-859	187	52	1.12	1.12	NUM
ijassa-859	187	53	*	*	PUNCT
ijassa-859	187	54	*	*	PUNCT
ijassa-859	187	55	*	*	PUNCT
ijassa-859	187	56	(	(	PUNCT
ijassa-859	187	57	0.006	0.006	NUM
ijassa-859	187	58	)	)	PUNCT
ijassa-859	187	59	speedofuncrewedvehicles	speedofuncrewedvehicle	NOUN
ijassa-859	187	60	0.30	0.30	NUM
ijassa-859	187	61	*	*	PUNCT
ijassa-859	187	62	*	*	PUNCT
ijassa-859	187	63	*	*	PUNCT
ijassa-859	187	64	(	(	PUNCT
ijassa-859	187	65	0.008	0.008	NUM
ijassa-859	187	66	)	)	PUNCT
ijassa-859	187	67	0.20	0.20	NUM
ijassa-859	187	68	*	*	PUNCT
ijassa-859	187	69	*	*	PUNCT
ijassa-859	187	70	*	*	PUNCT
ijassa-859	187	71	(	(	PUNCT
ijassa-859	187	72	0.009	0.009	NUM
ijassa-859	187	73	)	)	PUNCT
ijassa-859	187	74	speedofusualagents	speedofusualagent	NOUN
ijassa-859	187	75	-0.61	-0.61	NOUN
ijassa-859	187	76	*	*	PUNCT
ijassa-859	187	77	*	*	PUNCT
ijassa-859	187	78	*	*	PUNCT
ijassa-859	187	79	(	(	PUNCT
ijassa-859	187	80	0.008	0.008	NUM
ijassa-859	187	81	)	)	PUNCT
ijassa-859	187	82	-1.61	-1.61	NOUN
ijassa-859	187	83	*	*	PUNCT
ijassa-859	187	84	*	*	PUNCT
ijassa-859	187	85	*	*	PUNCT
ijassa-859	187	86	(	(	PUNCT
ijassa-859	187	87	0.009	0.009	NUM
ijassa-859	187	88	)	)	PUNCT
ijassa-859	187	89	intensityofconnections	intensityofconnection	NOUN
ijassa-859	187	90	-0.07	-0.07	NOUN
ijassa-859	187	91	*	*	PUNCT
ijassa-859	187	92	*	*	PUNCT
ijassa-859	187	93	*	*	PUNCT
ijassa-859	187	94	(	(	PUNCT
ijassa-859	187	95	0.005	0.005	NUM
ijassa-859	187	96	)	)	PUNCT
ijassa-859	187	97	0.004	0.004	NUM
ijassa-859	187	98	(	(	PUNCT
ijassa-859	187	99	0.005	0.005	NUM
ijassa-859	187	100	)	)	PUNCT
ijassa-859	187	101	r2	r2	NOUN
ijassa-859	187	102	0.58	0.58	NUM
ijassa-859	187	103	0.52	0.52	NUM
ijassa-859	187	104	note	note	NOUN
ijassa-859	187	105	.	.	PUNCT
ijassa-859	188	1	in	in	ADP
ijassa-859	188	2	parentheses	parenthesis	NOUN
ijassa-859	188	3	are	be	AUX
ijassa-859	188	4	the	the	DET
ijassa-859	188	5	values	value	NOUN
ijassa-859	188	6	of	of	ADP
ijassa-859	188	7	standard	standard	ADJ
ijassa-859	188	8	errors	error	NOUN
ijassa-859	188	9	.	.	PUNCT
ijassa-859	189	1	*	*	PUNCT
ijassa-859	190	1	*	*	PUNCT
ijassa-859	190	2	*	*	PUNCT
ijassa-859	190	3	,	,	PUNCT
ijassa-859	190	4	*	*	PUNCT
ijassa-859	190	5	*	*	PUNCT
ijassa-859	190	6	,	,	PUNCT
ijassa-859	190	7	*	*	PUNCT
ijassa-859	190	8	–	–	PUNCT
ijassa-859	190	9	significance	significance	NOUN
ijassa-859	190	10	at	at	ADP
ijassa-859	190	11	the	the	DET
ijassa-859	190	12	1	1	NUM
ijassa-859	190	13	,	,	PUNCT
ijassa-859	190	14	5	5	NUM
ijassa-859	190	15	and	and	CCONJ
ijassa-859	190	16	10	10	NUM
ijassa-859	190	17	%	%	NOUN
ijassa-859	190	18	level	level	NOUN
ijassa-859	190	19	,	,	PUNCT
ijassa-859	190	20	respectively	respectively	ADV
ijassa-859	190	21	.	.	PUNCT
ijassa-859	190	22	comparing	compare	VERB
ijassa-859	190	23	table	table	NOUN
ijassa-859	190	24	5.1	5.1	NUM
ijassa-859	190	25	and	and	CCONJ
ijassa-859	190	26	table	table	NOUN
ijassa-859	190	27	5.2	5.2	NUM
ijassa-859	190	28	with	with	ADP
ijassa-859	190	29	table	table	NOUN
ijassa-859	190	30	4.1	4.1	NUM
ijassa-859	190	31	and	and	CCONJ
ijassa-859	190	32	table	table	NOUN
ijassa-859	190	33	4.2	4.2	NUM
ijassa-859	190	34	,	,	PUNCT
ijassa-859	190	35	respectively	respectively	ADV
ijassa-859	190	36	,	,	PUNCT
ijassa-859	190	37	we	we	PRON
ijassa-859	190	38	can	can	AUX
ijassa-859	190	39	conclude	conclude	VERB
ijassa-859	190	40	that	that	SCONJ
ijassa-859	190	41	power	power	NOUN
ijassa-859	190	42	regressions	regression	NOUN
ijassa-859	190	43	give	give	VERB
ijassa-859	190	44	qualitatively	qualitatively	ADV
ijassa-859	190	45	the	the	DET
ijassa-859	190	46	same	same	ADJ
ijassa-859	190	47	conclusions	conclusion	NOUN
ijassa-859	190	48	as	as	ADP
ijassa-859	190	49	linear	linear	ADJ
ijassa-859	190	50	ones	one	NOUN
ijassa-859	190	51	.	.	PUNCT
ijassa-859	191	1	this	this	PRON
ijassa-859	191	2	is	be	AUX
ijassa-859	191	3	especially	especially	ADV
ijassa-859	191	4	true	true	ADJ
ijassa-859	191	5	for	for	ADP
ijassa-859	191	6	the	the	DET
ijassa-859	191	7	description	description	NOUN
ijassa-859	191	8	of	of	ADP
ijassa-859	191	9	these	these	DET
ijassa-859	191	10	dependencies	dependency	NOUN
ijassa-859	191	11	for	for	ADP
ijassa-859	191	12	output	output	NOUN
ijassa-859	191	13	stream	stream	NOUN
ijassa-859	191	14	traffic	traffic	NOUN
ijassa-859	191	15	.	.	PUNCT
ijassa-859	192	1	as	as	ADP
ijassa-859	192	2	for	for	ADP
ijassa-859	192	3	the	the	DET
ijassa-859	192	4	description	description	NOUN
ijassa-859	192	5	of	of	ADP
ijassa-859	192	6	the	the	DET
ijassa-859	192	7	dependence	dependence	NOUN
ijassa-859	192	8	for	for	ADP
ijassa-859	192	9	the	the	DET
ijassa-859	192	10	number	number	NOUN
ijassa-859	192	11	of	of	ADP
ijassa-859	192	12	accidents	accident	NOUN
ijassa-859	192	13	,	,	PUNCT
ijassa-859	192	14	here	here	ADV
ijassa-859	192	15	we	we	PRON
ijassa-859	192	16	can	can	AUX
ijassa-859	192	17	identify	identify	VERB
ijassa-859	192	18	some	some	DET
ijassa-859	192	19	advantage	advantage	NOUN
ijassa-859	192	20	of	of	ADP
ijassa-859	192	21	power	power	NOUN
ijassa-859	192	22	regression	regression	NOUN
ijassa-859	192	23	.	.	PUNCT
ijassa-859	193	1	firstly	firstly	ADV
ijassa-859	193	2	,	,	PUNCT
ijassa-859	193	3	the	the	DET
ijassa-859	193	4	value	value	NOUN
ijassa-859	193	5	of	of	ADP
ijassa-859	193	6	the	the	DET
ijassa-859	193	7	determination	determination	NOUN
ijassa-859	193	8	coefficient	coefficient	NOUN
ijassa-859	193	9	for	for	ADP
ijassa-859	193	10	model	model	NOUN
ijassa-859	193	11	2	2	NUM
ijassa-859	193	12	increases	increase	NOUN
ijassa-859	193	13	from	from	ADP
ijassa-859	193	14	0.45	0.45	NUM
ijassa-859	193	15	to	to	ADP
ijassa-859	193	16	0.52	0.52	NUM
ijassa-859	193	17	,	,	PUNCT
ijassa-859	193	18	and	and	CCONJ
ijassa-859	193	19	secondly	secondly	ADV
ijassa-859	193	20	,	,	PUNCT
ijassa-859	193	21	in	in	ADP
ijassa-859	193	22	contrast	contrast	NOUN
ijassa-859	193	23	to	to	ADP
ijassa-859	193	24	the	the	DET
ijassa-859	193	25	linear	linear	ADJ
ijassa-859	193	26	dependence	dependence	NOUN
ijassa-859	193	27	,	,	PUNCT
ijassa-859	193	28	the	the	DET
ijassa-859	193	29	intensityofconnections	intensityofconnection	NOUN
ijassa-859	193	30	variable	variable	NOUN
ijassa-859	193	31	is	be	AUX
ijassa-859	193	32	statistically	statistically	ADV
ijassa-859	193	33	significant	significant	ADJ
ijassa-859	193	34	in	in	ADP
ijassa-859	193	35	the	the	DET
ijassa-859	193	36	first	first	ADJ
ijassa-859	193	37	model	model	NOUN
ijassa-859	193	38	at	at	ADP
ijassa-859	193	39	a	a	DET
ijassa-859	193	40	1	1	NUM
ijassa-859	193	41	%	%	NOUN
ijassa-859	193	42	level	level	NOUN
ijassa-859	193	43	.	.	PUNCT
ijassa-859	194	1	the	the	DET
ijassa-859	194	2	corresponding	corresponding	ADJ
ijassa-859	194	3	coefficient	coefficient	NOUN
ijassa-859	194	4	value	value	NOUN
ijassa-859	194	5	in	in	ADP
ijassa-859	194	6	table	table	NOUN
ijassa-859	194	7	5.2	5.2	NUM
ijassa-859	194	8	(	(	PUNCT
ijassa-859	194	9	-0.07	-0.07	NUM
ijassa-859	194	10	)	)	PUNCT
ijassa-859	194	11	allows	allow	VERB
ijassa-859	194	12	us	we	PRON
ijassa-859	194	13	to	to	PART
ijassa-859	194	14	state	state	VERB
ijassa-859	194	15	that	that	SCONJ
ijassa-859	194	16	an	an	DET
ijassa-859	194	17	increase	increase	NOUN
ijassa-859	194	18	in	in	ADP
ijassa-859	194	19	message	message	NOUN
ijassa-859	194	20	intensity	intensity	NOUN
ijassa-859	194	21	between	between	ADP
ijassa-859	194	22	ugv	ugv	NOUN
ijassa-859	194	23	by	by	ADP
ijassa-859	194	24	14	14	NUM
ijassa-859	194	25	%	%	NOUN
ijassa-859	194	26	allows	allow	VERB
ijassa-859	194	27	reducing	reduce	VERB
ijassa-859	194	28	the	the	DET
ijassa-859	194	29	number	number	NOUN
ijassa-859	194	30	of	of	ADP
ijassa-859	194	31	accidents	accident	NOUN
ijassa-859	194	32	by	by	ADP
ijassa-859	194	33	1	1	NUM
ijassa-859	194	34	%	%	NOUN
ijassa-859	194	35	.	.	PUNCT
ijassa-859	195	1	moreover	moreover	ADV
ijassa-859	195	2	,	,	PUNCT
ijassa-859	195	3	in	in	ADP
ijassa-859	195	4	the	the	DET
ijassa-859	195	5	second	second	ADJ
ijassa-859	195	6	model	model	NOUN
ijassa-859	195	7	,	,	PUNCT
ijassa-859	195	8	this	this	DET
ijassa-859	195	9	variable	variable	NOUN
ijassa-859	195	10	is	be	AUX
ijassa-859	195	11	insignificant	insignificant	ADJ
ijassa-859	195	12	.	.	PUNCT
ijassa-859	196	1	this	this	PRON
ijassa-859	196	2	is	be	AUX
ijassa-859	196	3	explained	explain	VERB
ijassa-859	196	4	by	by	ADP
ijassa-859	196	5	the	the	DET
ijassa-859	196	6	fact	fact	NOUN
ijassa-859	196	7	that	that	SCONJ
ijassa-859	196	8	in	in	ADP
ijassa-859	196	9	the	the	DET
ijassa-859	196	10	second	second	ADJ
ijassa-859	196	11	model	model	NOUN
ijassa-859	196	12	,	,	PUNCT
ijassa-859	196	13	ugv	ugv	NOUN
ijassa-859	196	14	have	have	AUX
ijassa-859	196	15	ability	ability	NOUN
ijassa-859	196	16	to	to	PART
ijassa-859	196	17	estimate	estimate	VERB
ijassa-859	196	18	density	density	NOUN
ijassa-859	196	19	of	of	ADP
ijassa-859	196	20	traffic	traffic	NOUN
ijassa-859	196	21	flow	flow	NOUN
ijassa-859	196	22	,	,	PUNCT
ijassa-859	196	23	which	which	PRON
ijassa-859	196	24	allows	allow	VERB
ijassa-859	196	25	them	they	PRON
ijassa-859	196	26	to	to	PART
ijassa-859	196	27	maneuver	maneuver	VERB
ijassa-859	196	28	effectively	effectively	ADV
ijassa-859	196	29	.	.	PUNCT
ijassa-859	197	1	in	in	ADP
ijassa-859	197	2	such	such	DET
ijassa-859	197	3	a	a	DET
ijassa-859	197	4	situation	situation	NOUN
ijassa-859	197	5	,	,	PUNCT
ijassa-859	197	6	the	the	DET
ijassa-859	197	7	exchange	exchange	NOUN
ijassa-859	197	8	of	of	ADP
ijassa-859	197	9	messages	message	NOUN
ijassa-859	197	10	about	about	ADP
ijassa-859	197	11	the	the	DET
ijassa-859	197	12	presence	presence	NOUN
ijassa-859	197	13	of	of	ADP
ijassa-859	197	14	an	an	DET
ijassa-859	197	15	accident	accident	NOUN
ijassa-859	197	16	becomes	become	VERB
ijassa-859	197	17	irrelevant	irrelevant	ADJ
ijassa-859	197	18	for	for	ADP
ijassa-859	197	19	the	the	DET
ijassa-859	197	20	ugv	ugv	NOUN
ijassa-859	197	21	.	.	PUNCT
ijassa-859	198	1	6	6	NUM
ijassa-859	198	2	.	.	X
ijassa-859	198	3	conclusion	conclusion	NOUN
ijassa-859	198	4	in	in	ADP
ijassa-859	198	5	[	[	X
ijassa-859	198	6	6	6	NUM
ijassa-859	198	7	,	,	PUNCT
ijassa-859	198	8	7	7	NUM
ijassa-859	198	9	]	]	SYM
ijassa-859	198	10	two	two	NUM
ijassa-859	198	11	agent	agent	NOUN
ijassa-859	198	12	-	-	PUNCT
ijassa-859	198	13	based	base	VERB
ijassa-859	198	14	models	model	NOUN
ijassa-859	198	15	of	of	ADP
ijassa-859	198	16	movement	movement	NOUN
ijassa-859	198	17	of	of	ADP
ijassa-859	198	18	ugv	ugv	NOUN
ijassa-859	198	19	and	and	CCONJ
ijassa-859	198	20	mgv	mgv	NOUN
ijassa-859	198	21	,	,	PUNCT
ijassa-859	198	22	which	which	PRON
ijassa-859	198	23	were	be	AUX
ijassa-859	198	24	developed	develop	VERB
ijassa-859	198	25	and	and	CCONJ
ijassa-859	198	26	implemented	implement	VERB
ijassa-859	198	27	in	in	ADP
ijassa-859	198	28	anylogic	anylogic	NOUN
ijassa-859	198	29	simulation	simulation	NOUN
ijassa-859	198	30	system	system	NOUN
ijassa-859	198	31	,	,	PUNCT
ijassa-859	198	32	are	be	AUX
ijassa-859	198	33	described	describe	VERB
ijassa-859	198	34	.	.	PUNCT
ijassa-859	199	1	the	the	DET
ijassa-859	199	2	main	main	ADJ
ijassa-859	199	3	difference	difference	NOUN
ijassa-859	199	4	between	between	ADP
ijassa-859	199	5	the	the	DET
ijassa-859	199	6	second	second	ADJ
ijassa-859	199	7	model	model	NOUN
ijassa-859	199	8	and	and	CCONJ
ijassa-859	199	9	the	the	DET
ijassa-859	199	10	first	first	ADJ
ijassa-859	199	11	is	be	AUX
ijassa-859	199	12	that	that	SCONJ
ijassa-859	199	13	ugv	ugv	NOUN
ijassa-859	199	14	is	be	AUX
ijassa-859	199	15	endowed	endow	VERB
ijassa-859	199	16	with	with	ADP
ijassa-859	199	17	an	an	DET
ijassa-859	199	18	additional	additional	ADJ
ijassa-859	199	19	capability	capability	NOUN
ijassa-859	199	20	the	the	DET
ijassa-859	199	21	ability	ability	NOUN
ijassa-859	199	22	to	to	PART
ijassa-859	199	23	intelligently	intelligently	ADV
ijassa-859	199	24	assess	assess	VERB
ijassa-859	199	25	the	the	DET
ijassa-859	199	26	density	density	NOUN
ijassa-859	199	27	of	of	ADP
ijassa-859	199	28	traffic	traffic	NOUN
ijassa-859	199	29	flow	flow	NOUN
ijassa-859	199	30	.	.	PUNCT
ijassa-859	200	1	the	the	DET
ijassa-859	200	2	main	main	ADJ
ijassa-859	200	3	purpose	purpose	NOUN
ijassa-859	200	4	of	of	ADP
ijassa-859	200	5	this	this	DET
ijassa-859	200	6	article	article	NOUN
ijassa-859	200	7	is	be	AUX
ijassa-859	200	8	to	to	PART
ijassa-859	200	9	evaluate	evaluate	VERB
ijassa-859	200	10	the	the	DET
ijassa-859	200	11	effect	effect	NOUN
ijassa-859	200	12	obtained	obtain	VERB
ijassa-859	200	13	from	from	ADP
ijassa-859	200	14	the	the	DET
ijassa-859	200	15	implementation	implementation	NOUN
ijassa-859	200	16	of	of	ADP
ijassa-859	200	17	these	these	DET
ijassa-859	200	18	ugv	ugv	NOUN
ijassa-859	200	19	,	,	PUNCT
ijassa-859	200	20	which	which	PRON
ijassa-859	200	21	is	be	AUX
ijassa-859	200	22	to	to	PART
ijassa-859	200	23	increase	increase	VERB
ijassa-859	200	24	output	output	NOUN
ijassa-859	200	25	stream	stream	NOUN
ijassa-859	200	26	traffic	traffic	NOUN
ijassa-859	200	27	and	and	CCONJ
ijassa-859	200	28	reduce	reduce	VERB
ijassa-859	200	29	the	the	DET
ijassa-859	200	30	number	number	NOUN
ijassa-859	200	31	of	of	ADP
ijassa-859	200	32	accidents	accident	NOUN
ijassa-859	200	33	.	.	PUNCT
ijassa-859	201	1	for	for	ADP
ijassa-859	201	2	this	this	DET
ijassa-859	201	3	purpose	purpose	NOUN
ijassa-859	201	4	a	a	DET
ijassa-859	201	5	pool	pool	NOUN
ijassa-859	201	6	of	of	ADP
ijassa-859	201	7	identical	identical	ADJ
ijassa-859	201	8	experiments	experiment	NOUN
ijassa-859	201	9	was	be	AUX
ijassa-859	201	10	carried	carry	VERB
ijassa-859	201	11	out	out	ADP
ijassa-859	201	12	within	within	ADP
ijassa-859	201	13	each	each	DET
ijassa-859	201	14	model	model	NOUN
ijassa-859	201	15	,	,	PUNCT
ijassa-859	201	16	the	the	DET
ijassa-859	201	17	results	result	NOUN
ijassa-859	201	18	of	of	ADP
ijassa-859	201	19	which	which	PRON
ijassa-859	201	20	became	become	VERB
ijassa-859	201	21	the	the	DET
ijassa-859	201	22	initial	initial	ADJ
ijassa-859	201	23	basis	basis	NOUN
ijassa-859	201	24	for	for	ADP
ijassa-859	201	25	conducting	conduct	VERB
ijassa-859	201	26	an	an	DET
ijassa-859	201	27	econometric	econometric	ADJ
ijassa-859	201	28	analysis	analysis	NOUN
ijassa-859	201	29	.	.	PUNCT
ijassa-859	202	1	for	for	ADP
ijassa-859	202	2	both	both	CCONJ
ijassa-859	202	3	the	the	DET
ijassa-859	202	4	first	first	ADJ
ijassa-859	202	5	and	and	CCONJ
ijassa-859	202	6	second	second	ADJ
ijassa-859	202	7	models	model	NOUN
ijassa-859	202	8	,	,	PUNCT
ijassa-859	202	9	the	the	DET
ijassa-859	202	10	dependence	dependence	NOUN
ijassa-859	202	11	of	of	ADP
ijassa-859	202	12	the	the	DET
ijassa-859	202	13	output	output	NOUN
ijassa-859	202	14	stream	stream	NOUN
ijassa-859	202	15	traffic	traffic	NOUN
ijassa-859	202	16	and	and	CCONJ
ijassa-859	202	17	the	the	DET
ijassa-859	202	18	number	number	NOUN
ijassa-859	202	19	of	of	ADP
ijassa-859	202	20	accidents	accident	NOUN
ijassa-859	202	21	on	on	ADP
ijassa-859	202	22	a	a	DET
ijassa-859	202	23	given	give	VERB
ijassa-859	202	24	road	road	NOUN
ijassa-859	202	25	section	section	NOUN
ijassa-859	202	26	in	in	ADP
ijassa-859	202	27	a	a	DET
ijassa-859	202	28	given	give	VERB
ijassa-859	202	29	period	period	NOUN
ijassa-859	202	30	of	of	ADP
ijassa-859	202	31	time	time	NOUN
ijassa-859	202	32	on	on	ADP
ijassa-859	202	33	a	a	DET
ijassa-859	202	34	number	number	NOUN
ijassa-859	202	35	of	of	ADP
ijassa-859	202	36	model	model	NOUN
ijassa-859	202	37	parameters	parameter	NOUN
ijassa-859	202	38	such	such	ADJ
ijassa-859	202	39	as	as	ADP
ijassa-859	202	40	the	the	DET
ijassa-859	202	41	average	average	ADJ
ijassa-859	202	42	vehicle	vehicle	NOUN
ijassa-859	202	43	speed	speed	NOUN
ijassa-859	202	44	,	,	PUNCT
ijassa-859	202	45	input	input	NOUN
ijassa-859	202	46	stream	stream	NOUN
ijassa-859	202	47	intensity	intensity	NOUN
ijassa-859	202	48	,	,	PUNCT
ijassa-859	202	49	and	and	CCONJ
ijassa-859	202	50	the	the	DET
ijassa-859	202	51	frequency	frequency	NOUN
ijassa-859	202	52	of	of	ADP
ijassa-859	202	53	exchanges	exchange	NOUN
ijassa-859	202	54	between	between	ADP
ijassa-859	202	55	ugv	ugv	NOUN
ijassa-859	202	56	was	be	AUX
ijassa-859	202	57	studied	study	VERB
ijassa-859	202	58	.	.	PUNCT
ijassa-859	203	1	the	the	DET
ijassa-859	203	2	study	study	NOUN
ijassa-859	203	3	of	of	ADP
ijassa-859	203	4	these	these	DET
ijassa-859	203	5	dependencies	dependency	NOUN
ijassa-859	203	6	was	be	AUX
ijassa-859	203	7	carried	carry	VERB
ijassa-859	203	8	out	out	ADP
ijassa-859	203	9	both	both	CCONJ
ijassa-859	203	10	in	in	ADP
ijassa-859	203	11	the	the	DET
ijassa-859	203	12	framework	framework	NOUN
ijassa-859	203	13	of	of	ADP
ijassa-859	203	14	linear	linear	PROPN
ijassa-859	203	15	and	and	CCONJ
ijassa-859	203	16	power	power	NOUN
ijassa-859	203	17	regressions	regression	NOUN
ijassa-859	203	18	.	.	PUNCT
ijassa-859	204	1	evaluation	evaluation	NOUN
ijassa-859	204	2	of	of	ADP
ijassa-859	204	3	these	these	DET
ijassa-859	204	4	dependencies	dependency	NOUN
ijassa-859	204	5	made	make	VERB
ijassa-859	204	6	it	it	PRON
ijassa-859	204	7	possible	possible	ADJ
ijassa-859	204	8	to	to	PART
ijassa-859	204	9	determine	determine	VERB
ijassa-859	204	10	an	an	DET
ijassa-859	204	11	increase	increase	NOUN
ijassa-859	204	12	in	in	ADP
ijassa-859	204	13	the	the	DET
ijassa-859	204	14	output	output	NOUN
ijassa-859	204	15	stream	stream	NOUN
ijassa-859	204	16	traffic	traffic	NOUN
ijassa-859	204	17	and	and	CCONJ
ijassa-859	204	18	a	a	DET
ijassa-859	204	19	decrease	decrease	NOUN
ijassa-859	204	20	in	in	ADP
ijassa-859	204	21	the	the	DET
ijassa-859	204	22	number	number	NOUN
ijassa-859	204	23	of	of	ADP
ijassa-859	204	24	accidents	accident	NOUN
ijassa-859	204	25	in	in	ADP
ijassa-859	204	26	the	the	DET
ijassa-859	204	27	second	second	ADJ
ijassa-859	204	28	model	model	NOUN
ijassa-859	204	29	relative	relative	ADJ
ijassa-859	204	30	to	to	ADP
ijassa-859	204	31	the	the	DET
ijassa-859	204	32	indicated	indicate	VERB
ijassa-859	204	33	characteristics	characteristic	NOUN
ijassa-859	204	34	in	in	ADP
ijassa-859	204	35	the	the	DET
ijassa-859	204	36	first	first	ADJ
ijassa-859	204	37	model	model	NOUN
ijassa-859	204	38	depending	depend	VERB
ijassa-859	204	39	on	on	ADP
ijassa-859	204	40	the	the	DET
ijassa-859	204	41	model	model	NOUN
ijassa-859	204	42	parameters	parameter	NOUN
ijassa-859	204	43	.	.	PUNCT
ijassa-859	205	1	acknowledgements	acknowledgement	NOUN
ijassa-859	205	2	the	the	DET
ijassa-859	205	3	reported	report	VERB
ijassa-859	205	4	study	study	NOUN
ijassa-859	205	5	was	be	AUX
ijassa-859	205	6	funded	fund	VERB
ijassa-859	205	7	by	by	ADP
ijassa-859	205	8	rfbr	rfbr	NOUN
ijassa-859	205	9	,	,	PUNCT
ijassa-859	205	10	project	project	NOUN
ijassa-859	205	11	number	number	NOUN
ijassa-859	205	12	19	19	NUM
ijassa-859	205	13	-	-	SYM
ijassa-859	205	14	29	29	NUM
ijassa-859	205	15	-	-	PUNCT
ijassa-859	205	16	06003	06003	NUM
ijassa-859	205	17	.	.	PUNCT
ijassa-859	206	1	54	54	NUM
ijassa-859	206	2	a.	a.	NOUN
ijassa-859	206	3	akopov	akopov	PROPN
ijassa-859	206	4	,	,	PUNCT
ijassa-859	206	5	n.	n.	PROPN
ijassa-859	206	6	khachatryan	khachatryan	PROPN
ijassa-859	206	7	,	,	PUNCT
ijassa-859	206	8	f.	f.	PROPN
ijassa-859	206	9	belousov	belousov	PROPN
ijassa-859	206	10	copyright	copyright	NOUN
ijassa-859	206	11	©	©	PROPN
ijassa-859	206	12	2020	2020	NUM
ijassa-859	206	13	assa	assa	PROPN
ijassa-859	206	14	adv	adv	PROPN
ijassa-859	206	15	.	.	PUNCT
ijassa-859	207	1	in	in	ADP
ijassa-859	207	2	systems	system	NOUN
ijassa-859	207	3	science	science	NOUN
ijassa-859	207	4	and	and	CCONJ
ijassa-859	207	5	appl	appl	NOUN
ijassa-859	207	6	.	.	PUNCT
ijassa-859	208	1	(	(	PUNCT
ijassa-859	208	2	2020	2020	NUM
ijassa-859	208	3	)	)	PUNCT
ijassa-859	208	4	references	reference	NOUN
ijassa-859	208	5	1	1	NUM
ijassa-859	208	6	.	.	PUNCT
ijassa-859	209	1	ziye	ziye	PROPN
ijassa-859	209	2	,	,	PUNCT
ijassa-859	209	3	z.	z.	PROPN
ijassa-859	209	4	,	,	PUNCT
ijassa-859	209	5	haiou	haiou	PROPN
ijassa-859	209	6	,	,	PUNCT
ijassa-859	209	7	l.	l.	PROPN
ijassa-859	209	8	,	,	PUNCT
ijassa-859	209	9	huiyan	huiyan	ADJ
ijassa-859	209	10	,	,	PUNCT
ijassa-859	209	11	c.	c.	PROPN
ijassa-859	209	12	,	,	PUNCT
ijassa-859	209	13	shaohang	shaohang	PROPN
ijassa-859	209	14	,	,	PUNCT
ijassa-859	209	15	x.	x.	PROPN
ijassa-859	209	16	,	,	PUNCT
ijassa-859	209	17	&	&	CCONJ
ijassa-859	209	18	wenli	wenli	PROPN
ijassa-859	209	19	,	,	PUNCT
ijassa-859	209	20	l.	l.	PROPN
ijassa-859	209	21	(	(	PUNCT
ijassa-859	209	22	2019	2019	NUM
ijassa-859	209	23	)	)	PUNCT
ijassa-859	209	24	.	.	PUNCT
ijassa-859	210	1	tracking	track	VERB
ijassa-859	210	2	control	control	NOUN
ijassa-859	210	3	of	of	ADP
ijassa-859	210	4	unmanned	unmanned	ADJ
ijassa-859	210	5	tracked	track	VERB
ijassa-859	210	6	vehicle	vehicle	NOUN
ijassa-859	210	7	in	in	ADP
ijassa-859	210	8	off	off	ADP
ijassa-859	210	9	-	-	PUNCT
ijassa-859	210	10	road	road	NOUN
ijassa-859	210	11	conditions	condition	NOUN
ijassa-859	210	12	with	with	ADP
ijassa-859	210	13	large	large	ADJ
ijassa-859	210	14	curvature	curvature	NOUN
ijassa-859	210	15	.	.	PUNCT
ijassa-859	211	1	ieee	ieee	NOUN
ijassa-859	211	2	intelligent	intelligent	ADJ
ijassa-859	211	3	transportation	transportation	NOUN
ijassa-859	211	4	systems	system	NOUN
ijassa-859	211	5	conference	conference	NOUN
ijassa-859	211	6	,	,	PUNCT
ijassa-859	211	7	itsc	itsc	NOUN
ijassa-859	211	8	.	.	PUNCT
ijassa-859	212	1	auckland	auckland	PROPN
ijassa-859	212	2	,	,	PUNCT
ijassa-859	212	3	new	new	PROPN
ijassa-859	212	4	zealand	zealand	PROPN
ijassa-859	212	5	,	,	PUNCT
ijassa-859	212	6	3867–3873	3867–3873	NUM
ijassa-859	212	7	,	,	PUNCT
ijassa-859	212	8	https://doi.org/10.1109/itsc.2019.8917468	https://doi.org/10.1109/itsc.2019.8917468	PROPN
ijassa-859	212	9	2	2	NUM
ijassa-859	212	10	.	.	PUNCT
ijassa-859	212	11	menda	menda	PROPN
ijassa-859	212	12	,	,	PUNCT
ijassa-859	212	13	k.	k.	PROPN
ijassa-859	212	14	,	,	PUNCT
ijassa-859	212	15	chen	chen	PROPN
ijassa-859	212	16	,	,	PUNCT
ijassa-859	212	17	y.-c	y.-c	PROPN
ijassa-859	212	18	.	.	PROPN
ijassa-859	212	19	,	,	PUNCT
ijassa-859	212	20	grana	grana	PROPN
ijassa-859	212	21	,	,	PUNCT
ijassa-859	212	22	j.	j.	PROPN
ijassa-859	212	23	,	,	PUNCT
ijassa-859	212	24	bono	bono	X
ijassa-859	212	25	,	,	PUNCT
ijassa-859	212	26	j.	j.	PROPN
ijassa-859	212	27	w.	w.	PROPN
ijassa-859	212	28	,	,	PUNCT
ijassa-859	212	29	tracey	tracey	PROPN
ijassa-859	212	30	,	,	PUNCT
ijassa-859	212	31	b.	b.	PROPN
ijassa-859	212	32	d.	d.	PROPN
ijassa-859	212	33	,	,	PUNCT
ijassa-859	212	34	kochenderfer	kochenderfer	NOUN
ijassa-859	212	35	,	,	PUNCT
ijassa-859	212	36	m.	m.	NOUN
ijassa-859	212	37	j.	j.	PROPN
ijassa-859	212	38	,	,	PUNCT
ijassa-859	212	39	&	&	CCONJ
ijassa-859	212	40	wolpert	wolpert	PROPN
ijassa-859	212	41	,	,	PUNCT
ijassa-859	212	42	d.	d.	PROPN
ijassa-859	212	43	(	(	PUNCT
ijassa-859	212	44	2019	2019	NUM
ijassa-859	212	45	)	)	PUNCT
ijassa-859	212	46	.	.	PUNCT
ijassa-859	213	1	deep	deep	ADJ
ijassa-859	213	2	reinforcement	reinforcement	NOUN
ijassa-859	213	3	learning	learning	NOUN
ijassa-859	213	4	for	for	ADP
ijassa-859	213	5	event	event	NOUN
ijassa-859	213	6	-	-	PUNCT
ijassa-859	213	7	driven	drive	VERB
ijassa-859	213	8	multi	multi	ADJ
ijassa-859	213	9	-	-	ADJ
ijassa-859	213	10	agent	agent	ADJ
ijassa-859	213	11	decision	decision	NOUN
ijassa-859	213	12	processes	process	NOUN
ijassa-859	213	13	.	.	PUNCT
ijassa-859	214	1	ieee	ieee	PROPN
ijassa-859	214	2	trans	trans	PROPN
ijassa-859	214	3	.	.	PUNCT
ijassa-859	215	1	intell	intell	PROPN
ijassa-859	215	2	.	.	PUNCT
ijassa-859	216	1	transp	transp	PROPN
ijassa-859	216	2	.	.	PUNCT
ijassa-859	217	1	syst	syst	PROPN
ijassa-859	217	2	.	.	PROPN
ijassa-859	217	3	,	,	PUNCT
ijassa-859	217	4	20(4	20(4	NOUN
ijassa-859	217	5	)	)	PUNCT
ijassa-859	217	6	,	,	PUNCT
ijassa-859	217	7	1259–1268	1259–1268	NUM
ijassa-859	217	8	,	,	PUNCT
ijassa-859	217	9	https://doi.org/10.1109/tits.2018.2848264	https://doi.org/10.1109/tits.2018.2848264	PROPN
ijassa-859	217	10	3	3	NUM
ijassa-859	217	11	.	.	PUNCT
ijassa-859	218	1	chen	chen	PROPN
ijassa-859	218	2	,	,	PUNCT
ijassa-859	218	3	c.	c.	PROPN
ijassa-859	218	4	,	,	PUNCT
ijassa-859	218	5	liu	liu	PROPN
ijassa-859	218	6	,	,	PUNCT
ijassa-859	218	7	x.	x.	PROPN
ijassa-859	218	8	,	,	PUNCT
ijassa-859	218	9	chen	chen	PROPN
ijassa-859	218	10	,	,	PUNCT
ijassa-859	218	11	h.-h	h.-h	PROPN
ijassa-859	218	12	.	.	PUNCT
ijassa-859	218	13	,	,	PUNCT
ijassa-859	218	14	li	li	PROPN
ijassa-859	218	15	,	,	PUNCT
ijassa-859	218	16	m.	m.	NOUN
ijassa-859	218	17	,	,	PUNCT
ijassa-859	218	18	&	&	CCONJ
ijassa-859	218	19	zhao	zhao	PROPN
ijassa-859	218	20	,	,	PUNCT
ijassa-859	218	21	l.	l.	PROPN
ijassa-859	218	22	(	(	PUNCT
ijassa-859	218	23	2019	2019	NUM
ijassa-859	218	24	)	)	PUNCT
ijassa-859	218	25	.	.	PUNCT
ijassa-859	219	1	a	a	DET
ijassa-859	219	2	rear	rear	ADJ
ijassa-859	219	3	-	-	PUNCT
ijassa-859	219	4	end	end	NOUN
ijassa-859	219	5	collision	collision	NOUN
ijassa-859	219	6	risk	risk	NOUN
ijassa-859	219	7	evaluation	evaluation	NOUN
ijassa-859	219	8	and	and	CCONJ
ijassa-859	219	9	control	control	NOUN
ijassa-859	219	10	scheme	scheme	NOUN
ijassa-859	219	11	using	use	VERB
ijassa-859	219	12	a	a	DET
ijassa-859	219	13	bayesian	bayesian	NOUN
ijassa-859	219	14	network	network	NOUN
ijassa-859	219	15	model	model	NOUN
ijassa-859	219	16	.	.	PUNCT
ijassa-859	220	1	ieee	ieee	PROPN
ijassa-859	220	2	trans	trans	PROPN
ijassa-859	220	3	.	.	PUNCT
ijassa-859	221	1	intell	intell	PROPN
ijassa-859	221	2	.	.	PUNCT
ijassa-859	222	1	transp	transp	PROPN
ijassa-859	222	2	.	.	PUNCT
ijassa-859	223	1	syst	syst	PROPN
ijassa-859	223	2	.	.	PROPN
ijassa-859	223	3	,	,	PUNCT
ijassa-859	223	4	20(1	20(1	NUM
ijassa-859	223	5	)	)	PUNCT
ijassa-859	223	6	,	,	PUNCT
ijassa-859	223	7	264–284	264–284	NUM
ijassa-859	223	8	,	,	PUNCT
ijassa-859	223	9	https://doi.org/10.1109/tits.2018.2813364	https://doi.org/10.1109/tits.2018.2813364	PROPN
ijassa-859	223	10	4	4	NUM
ijassa-859	223	11	.	.	PUNCT
ijassa-859	224	1	xiong	xiong	PROPN
ijassa-859	224	2	,	,	PUNCT
ijassa-859	224	3	g.	g.	PROPN
ijassa-859	224	4	,	,	PUNCT
ijassa-859	224	5	kang	kang	PROPN
ijassa-859	224	6	,	,	PUNCT
ijassa-859	224	7	z.	z.	PROPN
ijassa-859	224	8	,	,	PUNCT
ijassa-859	224	9	li	li	PROPN
ijassa-859	224	10	,	,	PUNCT
ijassa-859	224	11	h.	h.	PROPN
ijassa-859	224	12	,	,	PUNCT
ijassa-859	224	13	song	song	NOUN
ijassa-859	224	14	,	,	PUNCT
ijassa-859	224	15	w.	w.	PROPN
ijassa-859	224	16	,	,	PUNCT
ijassa-859	224	17	jin	jin	PROPN
ijassa-859	224	18	,	,	PUNCT
ijassa-859	224	19	y.	y.	PROPN
ijassa-859	224	20	,	,	PUNCT
ijassa-859	224	21	&	&	CCONJ
ijassa-859	224	22	gong	gong	PROPN
ijassa-859	224	23	,	,	PUNCT
ijassa-859	224	24	j.	j.	PROPN
ijassa-859	224	25	(	(	PUNCT
ijassa-859	224	26	2018	2018	NUM
ijassa-859	224	27	)	)	PUNCT
ijassa-859	224	28	.	.	PUNCT
ijassa-859	225	1	decision	decision	NOUN
ijassa-859	225	2	making	making	NOUN
ijassa-859	225	3	of	of	ADP
ijassa-859	225	4	lane	lane	NOUN
ijassa-859	225	5	change	change	NOUN
ijassa-859	225	6	behavior	behavior	NOUN
ijassa-859	225	7	based	base	VERB
ijassa-859	225	8	on	on	ADP
ijassa-859	225	9	rcs	rcs	PROPN
ijassa-859	225	10	for	for	ADP
ijassa-859	225	11	automated	automate	VERB
ijassa-859	225	12	vehicles	vehicle	NOUN
ijassa-859	225	13	in	in	ADP
ijassa-859	225	14	the	the	DET
ijassa-859	225	15	real	real	ADJ
ijassa-859	225	16	environment	environment	NOUN
ijassa-859	225	17	.	.	PUNCT
ijassa-859	226	1	ieee	ieee	NOUN
ijassa-859	226	2	intelligent	intelligent	ADJ
ijassa-859	226	3	vehicles	vehicle	NOUN
ijassa-859	226	4	symposium	symposium	NOUN
ijassa-859	226	5	.	.	PUNCT
ijassa-859	226	6	changshu	changshu	PROPN
ijassa-859	226	7	,	,	PUNCT
ijassa-859	226	8	china	china	PROPN
ijassa-859	226	9	,	,	PUNCT
ijassa-859	226	10	1400–1405	1400–1405	NUM
ijassa-859	226	11	,	,	PUNCT
ijassa-859	226	12	https://doi.org/10.1109/ivs.2018.8500651	https://doi.org/10.1109/ivs.2018.8500651	ADJ
ijassa-859	226	13	5	5	NUM
ijassa-859	226	14	.	.	PUNCT
ijassa-859	226	15	cao	cao	PROPN
ijassa-859	226	16	,	,	PUNCT
ijassa-859	226	17	s.	s.	PROPN
ijassa-859	226	18	,	,	PUNCT
ijassa-859	226	19	shen	shen	PROPN
ijassa-859	226	20	,	,	PUNCT
ijassa-859	226	21	l.	l.	PROPN
ijassa-859	226	22	,	,	PUNCT
ijassa-859	226	23	zhang	zhang	PROPN
ijassa-859	226	24	,	,	PUNCT
ijassa-859	226	25	r.	r.	PROPN
ijassa-859	226	26	,	,	PUNCT
ijassa-859	226	27	yu	yu	PROPN
ijassa-859	226	28	,	,	PUNCT
ijassa-859	226	29	h.	h.	PROPN
ijassa-859	226	30	,	,	PUNCT
ijassa-859	226	31	&	&	CCONJ
ijassa-859	226	32	wang	wang	PROPN
ijassa-859	226	33	,	,	PUNCT
ijassa-859	226	34	x.	x.	NOUN
ijassa-859	226	35	(	(	PUNCT
ijassa-859	226	36	2019	2019	NUM
ijassa-859	226	37	)	)	PUNCT
ijassa-859	226	38	.	.	PUNCT
ijassa-859	227	1	adaptive	adaptive	ADJ
ijassa-859	227	2	incremental	incremental	ADJ
ijassa-859	227	3	nonlinear	nonlinear	ADJ
ijassa-859	227	4	dynamic	dynamic	ADJ
ijassa-859	227	5	inversion	inversion	NOUN
ijassa-859	227	6	control	control	NOUN
ijassa-859	227	7	based	base	VERB
ijassa-859	227	8	on	on	ADP
ijassa-859	227	9	neural	neural	ADJ
ijassa-859	227	10	network	network	NOUN
ijassa-859	227	11	for	for	ADP
ijassa-859	227	12	uav	uav	PROPN
ijassa-859	227	13	maneuver	maneuver	PROPN
ijassa-859	227	14	.	.	PUNCT
ijassa-859	228	1	ieee	ieee	PROPN
ijassa-859	228	2	/	/	SYM
ijassa-859	228	3	asme	asme	PROPN
ijassa-859	228	4	international	international	PROPN
ijassa-859	228	5	conference	conference	PROPN
ijassa-859	228	6	on	on	ADP
ijassa-859	228	7	advanced	advanced	ADJ
ijassa-859	228	8	intelligent	intelligent	ADJ
ijassa-859	228	9	mechatronics	mechatronic	NOUN
ijassa-859	228	10	.	.	PUNCT
ijassa-859	229	1	hong	hong	PROPN
ijassa-859	229	2	kong	kong	PROPN
ijassa-859	229	3	,	,	PUNCT
ijassa-859	229	4	china	china	PROPN
ijassa-859	229	5	,	,	PUNCT
ijassa-859	229	6	642–647	642–647	NUM
ijassa-859	229	7	,	,	PUNCT
ijassa-859	229	8	https://doi.org/10.1109/aim.2019.8868510	https://doi.org/10.1109/aim.2019.8868510	NOUN
ijassa-859	229	9	6	6	NUM
ijassa-859	229	10	.	.	PUNCT
ijassa-859	229	11	akopov	akopov	PROPN
ijassa-859	229	12	,	,	PUNCT
ijassa-859	229	13	a.	a.	PROPN
ijassa-859	229	14	s.	s.	PROPN
ijassa-859	229	15	,	,	PUNCT
ijassa-859	229	16	beklaryan	beklaryan	PROPN
ijassa-859	229	17	,	,	PUNCT
ijassa-859	229	18	l.	l.	PROPN
ijassa-859	229	19	a.	a.	PROPN
ijassa-859	229	20	,	,	PUNCT
ijassa-859	229	21	khachatryan	khachatryan	ADJ
ijassa-859	229	22	,	,	PUNCT
ijassa-859	229	23	n.	n.	PROPN
ijassa-859	229	24	k.	k.	PROPN
ijassa-859	229	25	,	,	PUNCT
ijassa-859	229	26	beklaryan	beklaryan	PROPN
ijassa-859	229	27	,	,	PUNCT
ijassa-859	229	28	a.	a.	PROPN
ijassa-859	229	29	l.	l.	PROPN
ijassa-859	229	30	,	,	PUNCT
ijassa-859	229	31	&	&	CCONJ
ijassa-859	229	32	kuznetsova	kuznetsova	PROPN
ijassa-859	229	33	,	,	PUNCT
ijassa-859	229	34	e.	e.	PROPN
ijassa-859	229	35	v.	v.	PROPN
ijassa-859	229	36	(	(	PUNCT
ijassa-859	229	37	2020	2020	NUM
ijassa-859	229	38	)	)	PUNCT
ijassa-859	229	39	.	.	PUNCT
ijassa-859	230	1	mnogoagentnaja	mnogoagentnaja	PROPN
ijassa-859	230	2	sistema	sistema	PROPN
ijassa-859	230	3	upravlenija	upravlenija	ADJ
ijassa-859	230	4	nazemnymi	nazemnymi	PROPN
ijassa-859	230	5	bespilotnymi	bespilotnymi	PROPN
ijassa-859	230	6	transportnymi	transportnymi	PROPN
ijassa-859	230	7	sredstvami	sredstvami	NOUN
ijassa-859	231	1	[	[	X
ijassa-859	231	2	multi	multi	ADJ
ijassa-859	231	3	-	-	ADJ
ijassa-859	231	4	agent	agent	ADJ
ijassa-859	231	5	ground	ground	NOUN
ijassa-859	231	6	-	-	PUNCT
ijassa-859	231	7	based	base	VERB
ijassa-859	231	8	unmanned	unmanned	ADJ
ijassa-859	231	9	vehicle	vehicle	NOUN
ijassa-859	231	10	control	control	NOUN
ijassa-859	231	11	system	system	NOUN
ijassa-859	231	12	]	]	PUNCT
ijassa-859	231	13	.	.	PUNCT
ijassa-859	232	1	informacionnye	informacionnye	PROPN
ijassa-859	232	2	tehnologii	tehnologii	PROPN
ijassa-859	232	3	,	,	PUNCT
ijassa-859	232	4	(	(	PUNCT
ijassa-859	232	5	in	in	ADP
ijassa-859	232	6	print	print	NOUN
ijassa-859	232	7	)	)	PUNCT
ijassa-859	232	8	,	,	PUNCT
ijassa-859	233	1	[	[	X
ijassa-859	233	2	in	in	ADP
ijassa-859	233	3	russian	russian	PROPN
ijassa-859	233	4	]	]	PUNCT
ijassa-859	233	5	.	.	PUNCT
ijassa-859	233	6	7	7	X
ijassa-859	233	7	.	.	X
ijassa-859	233	8	akopov	akopov	PROPN
ijassa-859	233	9	,	,	PUNCT
ijassa-859	233	10	a.	a.	PROPN
ijassa-859	233	11	s.	s.	PROPN
ijassa-859	233	12	,	,	PUNCT
ijassa-859	233	13	beklaryan	beklaryan	PROPN
ijassa-859	233	14	,	,	PUNCT
ijassa-859	233	15	l.	l.	PROPN
ijassa-859	233	16	a.	a.	PROPN
ijassa-859	233	17	,	,	PUNCT
ijassa-859	233	18	khachatryan	khachatryan	ADJ
ijassa-859	233	19	,	,	PUNCT
ijassa-859	233	20	n.	n.	PROPN
ijassa-859	233	21	k.	k.	PROPN
ijassa-859	233	22	,	,	PUNCT
ijassa-859	233	23	beklaryan	beklaryan	PROPN
ijassa-859	233	24	,	,	PUNCT
ijassa-859	233	25	a.	a.	PROPN
ijassa-859	233	26	l.	l.	PROPN
ijassa-859	233	27	,	,	PUNCT
ijassa-859	233	28	&	&	CCONJ
ijassa-859	233	29	fomin	fomin	PROPN
ijassa-859	233	30	,	,	PUNCT
ijassa-859	233	31	a.v	a.v	PROPN
ijassa-859	233	32	.	.	PROPN
ijassa-859	233	33	(	(	PUNCT
ijassa-859	233	34	2020	2020	NUM
ijassa-859	233	35	)	)	PUNCT
ijassa-859	233	36	.	.	PUNCT
ijassa-859	234	1	sistema	sistema	PROPN
ijassa-859	234	2	upravlenija	upravlenija	ADJ
ijassa-859	234	3	bespilotnymi	bespilotnymi	PROPN
ijassa-859	234	4	transportnymi	transportnymi	PROPN
ijassa-859	234	5	sredstvami	sredstvami	PROPN
ijassa-859	234	6	na	na	PART
ijassa-859	234	7	osnove	osnove	VERB
ijassa-859	234	8	nechetkoj	nechetkoj	NOUN
ijassa-859	234	9	klasterizacii	klasterizacii	NOUN
ijassa-859	235	1	[	[	X
ijassa-859	235	2	unmanned	unmanned	ADJ
ijassa-859	235	3	vehicle	vehicle	NOUN
ijassa-859	235	4	control	control	NOUN
ijassa-859	235	5	system	system	NOUN
ijassa-859	235	6	based	base	VERB
ijassa-859	235	7	on	on	ADP
ijassa-859	235	8	fuzzy	fuzzy	ADJ
ijassa-859	235	9	clustering	clustering	NOUN
ijassa-859	235	10	]	]	PUNCT
ijassa-859	235	11	.	.	PUNCT
ijassa-859	236	1	vestnik	vestnik	PROPN
ijassa-859	236	2	komp'juternyh	komp'juternyh	PROPN
ijassa-859	236	3	i	i	PROPN
ijassa-859	236	4	informacionnyh	informacionnyh	NOUN
ijassa-859	236	5	tehnologij	tehnologij	NOUN
ijassa-859	236	6	,	,	PUNCT
ijassa-859	236	7	(	(	PUNCT
ijassa-859	236	8	in	in	ADP
ijassa-859	236	9	print	print	NOUN
ijassa-859	236	10	)	)	PUNCT
ijassa-859	236	11	,	,	PUNCT
ijassa-859	237	1	[	[	X
ijassa-859	237	2	in	in	ADP
ijassa-859	237	3	russian	russian	PROPN
ijassa-859	237	4	]	]	PUNCT
ijassa-859	237	5	.	.	PUNCT
ijassa-859	237	6	8	8	X
ijassa-859	237	7	.	.	X
ijassa-859	237	8	goodfellow	goodfellow	PROPN
ijassa-859	237	9	,	,	PUNCT
ijassa-859	237	10	i.	i.	PROPN
ijassa-859	237	11	,	,	PUNCT
ijassa-859	237	12	bengio	bengio	PROPN
ijassa-859	237	13	,	,	PUNCT
ijassa-859	237	14	y.	y.	PROPN
ijassa-859	237	15	,	,	PUNCT
ijassa-859	237	16	&	&	CCONJ
ijassa-859	237	17	courville	courville	PROPN
ijassa-859	237	18	,	,	PUNCT
ijassa-859	237	19	a.	a.	NOUN
ijassa-859	237	20	(	(	PUNCT
ijassa-859	237	21	2016	2016	NUM
ijassa-859	237	22	)	)	PUNCT
ijassa-859	237	23	.	.	PUNCT
ijassa-859	238	1	deep	deep	ADJ
ijassa-859	238	2	learning	learning	NOUN
ijassa-859	238	3	.	.	PUNCT
ijassa-859	239	1	mit	mit	PROPN
ijassa-859	239	2	press	press	NOUN
ijassa-859	239	3	.	.	PUNCT
ijassa-859	240	1	9	9	X
ijassa-859	240	2	.	.	X
ijassa-859	240	3	nikolenko	nikolenko	PROPN
ijassa-859	240	4	,	,	PUNCT
ijassa-859	240	5	s.	s.	PROPN
ijassa-859	240	6	i.	i.	PROPN
ijassa-859	240	7	,	,	PUNCT
ijassa-859	240	8	kadurin	kadurin	PROPN
ijassa-859	240	9	,	,	PUNCT
ijassa-859	240	10	a.	a.	NOUN
ijassa-859	240	11	a.	a.	PROPN
ijassa-859	240	12	,	,	PUNCT
ijassa-859	240	13	&	&	CCONJ
ijassa-859	240	14	arhangel'skaja	arhangel'skaja	PROPN
ijassa-859	240	15	,	,	PUNCT
ijassa-859	240	16	e.	e.	PROPN
ijassa-859	240	17	o.	o.	PROPN
ijassa-859	240	18	(	(	PUNCT
ijassa-859	240	19	2018	2018	NUM
ijassa-859	240	20	)	)	PUNCT
ijassa-859	240	21	.	.	PUNCT
ijassa-859	241	1	glubokoe	glubokoe	ADJ
ijassa-859	241	2	obuchenie	obuchenie	NOUN
ijassa-859	241	3	[	[	X
ijassa-859	241	4	deep	deep	ADJ
ijassa-859	241	5	learning	learning	NOUN
ijassa-859	241	6	]	]	PUNCT
ijassa-859	241	7	.	.	PUNCT
ijassa-859	242	1	st	st	PROPN
ijassa-859	242	2	.	.	PROPN
ijassa-859	242	3	petersburg	petersburg	PROPN
ijassa-859	242	4	,	,	PUNCT
ijassa-859	242	5	piter	piter	PROPN
ijassa-859	242	6	,	,	PUNCT
ijassa-859	242	7	[	[	X
ijassa-859	242	8	in	in	ADP
ijassa-859	242	9	russian	russian	PROPN
ijassa-859	242	10	]	]	PUNCT
ijassa-859	242	11	.	.	PUNCT
ijassa-859	243	1	10	10	NUM
ijassa-859	243	2	.	.	PUNCT
ijassa-859	244	1	lecun	lecun	ADJ
ijassa-859	244	2	,	,	PUNCT
ijassa-859	244	3	y.	y.	PROPN
ijassa-859	244	4	,	,	PUNCT
ijassa-859	244	5	boser	boser	NOUN
ijassa-859	244	6	,	,	PUNCT
ijassa-859	244	7	b.	b.	PROPN
ijassa-859	244	8	,	,	PUNCT
ijassa-859	244	9	denker	denker	PROPN
ijassa-859	244	10	,	,	PUNCT
ijassa-859	244	11	j.	j.	PROPN
ijassa-859	244	12	s.	s.	PROPN
ijassa-859	244	13	,	,	PUNCT
ijassa-859	244	14	henderson	henderson	PROPN
ijassa-859	244	15	,	,	PUNCT
ijassa-859	244	16	d.	d.	PROPN
ijassa-859	244	17	,	,	PUNCT
ijassa-859	244	18	howard	howard	PROPN
ijassa-859	244	19	,	,	PUNCT
ijassa-859	244	20	r.	r.	PROPN
ijassa-859	244	21	e.	e.	PROPN
ijassa-859	244	22	,	,	PUNCT
ijassa-859	244	23	hubbard	hubbard	PROPN
ijassa-859	244	24	,	,	PUNCT
ijassa-859	244	25	w.	w.	PROPN
ijassa-859	244	26	,	,	PUNCT
ijassa-859	244	27	&	&	CCONJ
ijassa-859	244	28	jackel	jackel	PROPN
ijassa-859	244	29	,	,	PUNCT
ijassa-859	244	30	l.	l.	PROPN
ijassa-859	244	31	d.	d.	PROPN
ijassa-859	244	32	(	(	PUNCT
ijassa-859	244	33	1989	1989	NUM
ijassa-859	244	34	)	)	PUNCT
ijassa-859	244	35	.	.	PUNCT
ijassa-859	245	1	backpropagation	backpropagation	NOUN
ijassa-859	245	2	applied	apply	VERB
ijassa-859	245	3	to	to	ADP
ijassa-859	245	4	handwritten	handwritten	ADJ
ijassa-859	245	5	zip	zip	NOUN
ijassa-859	245	6	code	code	NOUN
ijassa-859	245	7	recognition	recognition	NOUN
ijassa-859	245	8	.	.	PUNCT
ijassa-859	246	1	neural	neural	ADJ
ijassa-859	246	2	computation	computation	NOUN
ijassa-859	246	3	,	,	PUNCT
ijassa-859	246	4	1(4	1(4	NUM
ijassa-859	246	5	)	)	PUNCT
ijassa-859	246	6	,	,	PUNCT
ijassa-859	246	7	541–551	541–551	NUM
ijassa-859	246	8	,	,	PUNCT
ijassa-859	246	9	https://doi.org/10.1162/neco.1989.1.4.541	https://doi.org/10.1162/neco.1989.1.4.541	X
ijassa-859	246	10	11	11	NUM
ijassa-859	246	11	.	.	PUNCT
ijassa-859	247	1	akopov	akopov	PROPN
ijassa-859	247	2	,	,	PUNCT
ijassa-859	247	3	a.	a.	PROPN
ijassa-859	247	4	s.	s.	PROPN
ijassa-859	247	5	,	,	PUNCT
ijassa-859	247	6	&	&	CCONJ
ijassa-859	247	7	beklaryan	beklaryan	PROPN
ijassa-859	247	8	,	,	PUNCT
ijassa-859	247	9	l.	l.	PROPN
ijassa-859	247	10	a.	a.	PROPN
ijassa-859	247	11	(	(	PUNCT
ijassa-859	247	12	2015	2015	NUM
ijassa-859	247	13	)	)	PUNCT
ijassa-859	247	14	.	.	PUNCT
ijassa-859	248	1	an	an	DET
ijassa-859	248	2	agent	agent	NOUN
ijassa-859	248	3	model	model	NOUN
ijassa-859	248	4	of	of	ADP
ijassa-859	248	5	crowd	crowd	NOUN
ijassa-859	248	6	behavior	behavior	NOUN
ijassa-859	248	7	in	in	ADP
ijassa-859	248	8	emergencies	emergency	NOUN
ijassa-859	248	9	.	.	PUNCT
ijassa-859	249	1	autom	autom	PROPN
ijassa-859	249	2	.	.	PUNCT
ijassa-859	250	1	and	and	CCONJ
ijassa-859	250	2	remote	remote	ADJ
ijassa-859	250	3	control	control	NOUN
ijassa-859	250	4	,	,	PUNCT
ijassa-859	250	5	76(10	76(10	NUM
ijassa-859	250	6	)	)	PUNCT
ijassa-859	250	7	,	,	PUNCT
ijassa-859	250	8	1817–1827	1817–1827	NUM
ijassa-859	250	9	,	,	PUNCT
ijassa-859	250	10	https://doi.org/10.1134/s0005117915100094	https://doi.org/10.1134/s0005117915100094	NUM
ijassa-859	250	11	12	12	NUM
ijassa-859	250	12	.	.	PUNCT
ijassa-859	251	1	akopov	akopov	PROPN
ijassa-859	251	2	,	,	PUNCT
ijassa-859	251	3	a.	a.	PROPN
ijassa-859	251	4	s.	s.	PROPN
ijassa-859	251	5	,	,	PUNCT
ijassa-859	251	6	beklaryan	beklaryan	PROPN
ijassa-859	251	7	,	,	PUNCT
ijassa-859	251	8	l.	l.	PROPN
ijassa-859	251	9	a.	a.	PROPN
ijassa-859	251	10	,	,	PUNCT
ijassa-859	251	11	&	&	CCONJ
ijassa-859	251	12	saghatelyan	saghatelyan	ADJ
ijassa-859	251	13	,	,	PUNCT
ijassa-859	251	14	a.	a.	PROPN
ijassa-859	251	15	k.	k.	PROPN
ijassa-859	251	16	(	(	PUNCT
ijassa-859	251	17	2019	2019	NUM
ijassa-859	251	18	)	)	PUNCT
ijassa-859	251	19	.	.	PUNCT
ijassa-859	252	1	agent	agent	NOUN
ijassa-859	252	2	-	-	PUNCT
ijassa-859	252	3	based	base	VERB
ijassa-859	252	4	modelling	modelling	NOUN
ijassa-859	252	5	of	of	ADP
ijassa-859	252	6	interactions	interaction	NOUN
ijassa-859	252	7	between	between	ADP
ijassa-859	252	8	air	air	NOUN
ijassa-859	252	9	pollutants	pollutant	NOUN
ijassa-859	252	10	and	and	CCONJ
ijassa-859	252	11	greenery	greenery	NOUN
ijassa-859	252	12	using	use	VERB
ijassa-859	252	13	a	a	DET
ijassa-859	252	14	case	case	NOUN
ijassa-859	252	15	study	study	NOUN
ijassa-859	252	16	of	of	ADP
ijassa-859	252	17	yerevan	yerevan	PROPN
ijassa-859	252	18	,	,	PUNCT
ijassa-859	252	19	armenia	armenia	PROPN
ijassa-859	252	20	.	.	PUNCT
ijassa-859	253	1	environmental	environmental	ADJ
ijassa-859	253	2	modelling	modelling	NOUN
ijassa-859	253	3	and	and	CCONJ
ijassa-859	253	4	software	software	NOUN
ijassa-859	253	5	,	,	PUNCT
ijassa-859	253	6	116	116	NUM
ijassa-859	253	7	,	,	PUNCT
ijassa-859	253	8	7–25	7–25	NOUN
ijassa-859	253	9	,	,	PUNCT
ijassa-859	253	10	https://doi.org/10.1016/j.envsoft.2019.02.003	https://doi.org/10.1016/j.envsoft.2019.02.003	PROPN
ijassa-859	253	11	13	13	NUM
ijassa-859	253	12	.	.	PUNCT
ijassa-859	254	1	bezdek	bezdek	PROPN
ijassa-859	254	2	,	,	PUNCT
ijassa-859	254	3	c.	c.	PROPN
ijassa-859	254	4	j.	j.	PROPN
ijassa-859	254	5	(	(	PUNCT
ijassa-859	254	6	1974	1974	NUM
ijassa-859	254	7	)	)	PUNCT
ijassa-859	254	8	.	.	PUNCT
ijassa-859	255	1	cluster	cluster	NOUN
ijassa-859	255	2	validity	validity	NOUN
ijassa-859	255	3	with	with	ADP
ijassa-859	255	4	fuzzy	fuzzy	ADJ
ijassa-859	255	5	sets	set	NOUN
ijassa-859	255	6	.	.	PUNCT
ijassa-859	256	1	journal	journal	NOUN
ijassa-859	256	2	of	of	ADP
ijassa-859	256	3	cybernetics	cybernetic	NOUN
ijassa-859	256	4	,	,	PUNCT
ijassa-859	256	5	3(3	3(3	NUM
ijassa-859	256	6	)	)	PUNCT
ijassa-859	256	7	,	,	PUNCT
ijassa-859	256	8	58–73	58–73	NUM
ijassa-859	256	9	,	,	PUNCT
ijassa-859	256	10	https://doi.org/10.1080/01969727308546047	https://doi.org/10.1080/01969727308546047	ADJ
ijassa-859	256	11	14	14	NUM
ijassa-859	256	12	.	.	PUNCT
ijassa-859	257	1	bezdek	bezdek	PROPN
ijassa-859	257	2	,	,	PUNCT
ijassa-859	257	3	c.	c.	PROPN
ijassa-859	257	4	j.	j.	PROPN
ijassa-859	257	5	(	(	PUNCT
ijassa-859	257	6	1981	1981	NUM
ijassa-859	257	7	)	)	PUNCT
ijassa-859	257	8	.	.	PUNCT
ijassa-859	258	1	pattern	pattern	NOUN
ijassa-859	258	2	recognition	recognition	NOUN
ijassa-859	258	3	with	with	ADP
ijassa-859	258	4	fuzzy	fuzzy	ADJ
ijassa-859	258	5	objective	objective	ADJ
ijassa-859	258	6	function	function	NOUN
ijassa-859	258	7	algorithms	algorithm	NOUN
ijassa-859	258	8	.	.	PUNCT
ijassa-859	259	1	springer	springer	PROPN
ijassa-859	259	2	us	we	PRON
ijassa-859	259	3	,	,	PUNCT
ijassa-859	259	4	https://doi.org/10.1007/978-1-4757-0450-1	https://doi.org/10.1007/978-1-4757-0450-1	PROPN
ijassa-859	259	5	influence	influence	NOUN
ijassa-859	259	6	of	of	ADP
ijassa-859	259	7	unmanned	unmanned	ADJ
ijassa-859	259	8	vehicles	vehicle	NOUN
ijassa-859	259	9	on	on	ADP
ijassa-859	259	10	the	the	DET
ijassa-859	259	11	state	state	NOUN
ijassa-859	259	12	of	of	ADP
ijassa-859	259	13	the	the	DET
ijassa-859	259	14	transport	transport	NOUN
ijassa-859	259	15	network	network	NOUN
ijassa-859	259	16	55	55	NUM
ijassa-859	259	17	copyright	copyright	NOUN
ijassa-859	259	18	©	©	PROPN
ijassa-859	259	19	2020	2020	NUM
ijassa-859	260	1	assa	assa	NOUN
ijassa-859	260	2	.	.	PUNCT
ijassa-859	261	1	adv	adv	PROPN
ijassa-859	261	2	.	.	PUNCT
ijassa-859	262	1	in	in	ADP
ijassa-859	262	2	systems	system	NOUN
ijassa-859	262	3	science	science	NOUN
ijassa-859	262	4	and	and	CCONJ
ijassa-859	262	5	appl	appl	NOUN
ijassa-859	262	6	.	.	PUNCT
ijassa-859	263	1	(	(	PUNCT
ijassa-859	263	2	2020	2020	NUM
ijassa-859	263	3	)	)	PUNCT
ijassa-859	263	4	15	15	NUM
ijassa-859	263	5	.	.	PUNCT
ijassa-859	264	1	beklaryan	beklaryan	PROPN
ijassa-859	264	2	,	,	PUNCT
ijassa-859	264	3	a.	a.	PROPN
ijassa-859	264	4	l.	l.	PROPN
ijassa-859	264	5	,	,	PUNCT
ijassa-859	264	6	&	&	CCONJ
ijassa-859	264	7	akopov	akopov	PROPN
ijassa-859	264	8	,	,	PUNCT
ijassa-859	264	9	a.	a.	PROPN
ijassa-859	264	10	s.	s.	PROPN
ijassa-859	264	11	(	(	PUNCT
ijassa-859	264	12	2016	2016	NUM
ijassa-859	264	13	)	)	PUNCT
ijassa-859	264	14	.	.	PUNCT
ijassa-859	265	1	simulation	simulation	NOUN
ijassa-859	265	2	of	of	ADP
ijassa-859	265	3	agent	agent	NOUN
ijassa-859	265	4	-	-	PUNCT
ijassa-859	265	5	rescuer	rescuer	NOUN
ijassa-859	265	6	behaviour	behaviour	NOUN
ijassa-859	265	7	in	in	ADP
ijassa-859	265	8	emergency	emergency	NOUN
ijassa-859	265	9	based	base	VERB
ijassa-859	265	10	on	on	ADP
ijassa-859	265	11	modified	modify	VERB
ijassa-859	265	12	fuzzy	fuzzy	ADJ
ijassa-859	265	13	clustering	clustering	NOUN
ijassa-859	265	14	.	.	PUNCT
ijassa-859	266	1	proceedings	proceeding	NOUN
ijassa-859	266	2	of	of	ADP
ijassa-859	266	3	the	the	DET
ijassa-859	266	4	international	international	ADJ
ijassa-859	266	5	joint	joint	ADJ
ijassa-859	266	6	conference	conference	NOUN
ijassa-859	266	7	on	on	ADP
ijassa-859	266	8	autonomous	autonomous	ADJ
ijassa-859	266	9	agents	agent	NOUN
ijassa-859	266	10	and	and	CCONJ
ijassa-859	266	11	multiagent	multiagent	NOUN
ijassa-859	266	12	systems	system	NOUN
ijassa-859	266	13	,	,	PUNCT
ijassa-859	266	14	aamas	aamas	PROPN
ijassa-859	266	15	.	.	PUNCT
ijassa-859	267	1	singapore	singapore	PROPN
ijassa-859	267	2	,	,	PUNCT
ijassa-859	267	3	1275–1276	1275–1276	NUM
ijassa-859	267	4	.	.	NOUN
ijassa-859	267	5	16	16	NUM
ijassa-859	267	6	.	.	PUNCT
ijassa-859	268	1	akopov	akopov	PROPN
ijassa-859	268	2	,	,	PUNCT
ijassa-859	268	3	a.	a.	PROPN
ijassa-859	268	4	s.	s.	PROPN
ijassa-859	268	5	,	,	PUNCT
ijassa-859	268	6	beklaryan	beklaryan	PROPN
ijassa-859	268	7	,	,	PUNCT
ijassa-859	268	8	l.	l.	PROPN
ijassa-859	268	9	a.	a.	PROPN
ijassa-859	268	10	,	,	PUNCT
ijassa-859	268	11	thakur	thakur	PROPN
ijassa-859	268	12	,	,	PUNCT
ijassa-859	268	13	m.	m.	NOUN
ijassa-859	268	14	,	,	PUNCT
ijassa-859	268	15	&	&	CCONJ
ijassa-859	268	16	verma	verma	PROPN
ijassa-859	268	17	,	,	PUNCT
ijassa-859	268	18	b.	b.	PROPN
ijassa-859	268	19	d.	d.	PROPN
ijassa-859	268	20	(	(	PUNCT
ijassa-859	268	21	2019	2019	NUM
ijassa-859	268	22	)	)	PUNCT
ijassa-859	268	23	.	.	PUNCT
ijassa-859	269	1	parallel	parallel	ADJ
ijassa-859	269	2	multiagent	multiagent	NOUN
ijassa-859	269	3	real	real	ADV
ijassa-859	269	4	-	-	PUNCT
ijassa-859	269	5	coded	code	VERB
ijassa-859	269	6	genetic	genetic	ADJ
ijassa-859	269	7	algorithm	algorithm	NOUN
ijassa-859	269	8	for	for	ADP
ijassa-859	269	9	large	large	ADJ
ijassa-859	269	10	-	-	PUNCT
ijassa-859	269	11	scale	scale	NOUN
ijassa-859	269	12	black	black	ADJ
ijassa-859	269	13	-	-	PUNCT
ijassa-859	269	14	box	box	NOUN
ijassa-859	269	15	single	single	ADJ
ijassa-859	269	16	-	-	PUNCT
ijassa-859	269	17	objective	objective	ADJ
ijassa-859	269	18	optimization	optimization	NOUN
ijassa-859	269	19	.	.	PUNCT
ijassa-859	270	1	knowledge	knowledge	NOUN
ijassa-859	270	2	-	-	PUNCT
ijassa-859	270	3	based	base	VERB
ijassa-859	270	4	systems	system	NOUN
ijassa-859	270	5	,	,	PUNCT
ijassa-859	270	6	174	174	NUM
ijassa-859	270	7	,	,	PUNCT
ijassa-859	270	8	103–122	103–122	NUM
ijassa-859	270	9	,	,	PUNCT
ijassa-859	270	10	https://doi.org/10.1016/j.knosys.2019.03.003	https://doi.org/10.1016/j.knosys.2019.03.003	NOUN