id	sid	tid	token	lemma	pos
fcis-31262	1	1	frontiers	frontier	NOUN
fcis-31262	1	2	in	in	ADP
fcis-31262	1	3	computing	computing	NOUN
fcis-31262	1	4	and	and	CCONJ
fcis-31262	1	5	intelligent	intelligent	ADJ
fcis-31262	1	6	systems	system	NOUN
fcis-31262	1	7	issn	issn	VERB
fcis-31262	1	8	:	:	PUNCT
fcis-31262	1	9	2832	2832	NUM
fcis-31262	1	10	-	-	SYM
fcis-31262	1	11	6024	6024	NUM
fcis-31262	1	12	|	|	NOUN
fcis-31262	1	13	vol	vol	NOUN
fcis-31262	1	14	.	.	PROPN
fcis-31262	2	1	12	12	NUM
fcis-31262	2	2	,	,	PUNCT
fcis-31262	2	3	no	no	INTJ
fcis-31262	2	4	.	.	NOUN
fcis-31262	2	5	3	3	NUM
fcis-31262	2	6	,	,	PUNCT
fcis-31262	2	7	2025	2025	NUM
fcis-31262	2	8	92	92	NUM
fcis-31262	2	9	research	research	NOUN
fcis-31262	2	10	on	on	ADP
fcis-31262	2	11	urban	urban	ADJ
fcis-31262	2	12	waste	waste	NOUN
fcis-31262	2	13	sorting	sort	VERB
fcis-31262	2	14	transportation	transportation	NOUN
fcis-31262	2	15	path	path	NOUN
fcis-31262	2	16	scheduling	scheduling	NOUN
fcis-31262	2	17	based	base	VERB
fcis-31262	2	18	on	on	ADP
fcis-31262	2	19	greedy	greedy	ADJ
fcis-31262	2	20	algorithm	algorithm	NOUN
fcis-31262	2	21	and	and	CCONJ
fcis-31262	2	22	clustering	cluster	VERB
fcis-31262	2	23	optimization	optimization	NOUN
fcis-31262	2	24	zeyuan	zeyuan	PROPN
fcis-31262	2	25	du	du	PROPN
fcis-31262	2	26	,	,	PUNCT
fcis-31262	2	27	haoyuan	haoyuan	PROPN
fcis-31262	2	28	zheng	zheng	PROPN
fcis-31262	2	29	,	,	PUNCT
fcis-31262	2	30	xiangyu	xiangyu	PROPN
fcis-31262	2	31	li	li	PROPN
fcis-31262	2	32	,	,	PUNCT
fcis-31262	2	33	tianyu	tianyu	VERB
fcis-31262	2	34	zheng	zheng	PROPN
fcis-31262	2	35	,	,	PUNCT
fcis-31262	2	36	sicheng	sicheng	PROPN
fcis-31262	2	37	zhu	zhu	PROPN
fcis-31262	2	38	*	*	PUNCT
fcis-31262	3	1	nanjing	nanjing	PROPN
fcis-31262	3	2	normal	normal	ADJ
fcis-31262	3	3	university	university	NOUN
fcis-31262	3	4	of	of	ADP
fcis-31262	3	5	special	special	ADJ
fcis-31262	3	6	education	education	NOUN
fcis-31262	3	7	,	,	PUNCT
fcis-31262	3	8	nanjing	nanjing	PROPN
fcis-31262	3	9	,	,	PUNCT
fcis-31262	3	10	jiangsu	jiangsu	PROPN
fcis-31262	3	11	,	,	PUNCT
fcis-31262	3	12	china	china	PROPN
fcis-31262	3	13	*	*	PUNCT
fcis-31262	3	14	corresponding	correspond	VERB
fcis-31262	3	15	author	author	NOUN
fcis-31262	3	16	:	:	PUNCT
fcis-31262	3	17	sicheng	sicheng	PROPN
fcis-31262	3	18	zhu	zhu	PROPN
fcis-31262	3	19	(	(	PUNCT
fcis-31262	3	20	email	email	NOUN
fcis-31262	3	21	:	:	PUNCT
fcis-31262	3	22	zsc980714@163.com	zsc980714@163.com	X
fcis-31262	3	23	)	)	PUNCT
fcis-31262	3	24	abstract	abstract	NOUN
fcis-31262	3	25	:	:	PUNCT
fcis-31262	3	26	this	this	DET
fcis-31262	3	27	study	study	NOUN
fcis-31262	3	28	investigates	investigate	VERB
fcis-31262	3	29	the	the	DET
fcis-31262	3	30	scheduling	scheduling	NOUN
fcis-31262	3	31	of	of	ADP
fcis-31262	3	32	urban	urban	ADJ
fcis-31262	3	33	waste	waste	NOUN
fcis-31262	3	34	sorting	sort	VERB
fcis-31262	3	35	transportation	transportation	NOUN
fcis-31262	3	36	routes	route	NOUN
fcis-31262	3	37	using	use	VERB
fcis-31262	3	38	a	a	DET
fcis-31262	3	39	greedy	greedy	ADJ
fcis-31262	3	40	algorithm	algorithm	NOUN
fcis-31262	3	41	and	and	CCONJ
fcis-31262	3	42	clustering	cluster	VERB
fcis-31262	3	43	optimisation	optimisation	NOUN
fcis-31262	3	44	to	to	PART
fcis-31262	3	45	achieve	achieve	VERB
fcis-31262	3	46	a	a	DET
fcis-31262	3	47	multi	multi	ADJ
fcis-31262	3	48	-	-	ADJ
fcis-31262	3	49	objective	objective	ADJ
fcis-31262	3	50	balance	balance	NOUN
fcis-31262	3	51	between	between	ADP
fcis-31262	3	52	transportation	transportation	NOUN
fcis-31262	3	53	efficiency	efficiency	NOUN
fcis-31262	3	54	,	,	PUNCT
fcis-31262	3	55	cost	cost	NOUN
fcis-31262	3	56	,	,	PUNCT
fcis-31262	3	57	and	and	CCONJ
fcis-31262	3	58	carbon	carbon	NOUN
fcis-31262	3	59	emissions	emission	NOUN
fcis-31262	3	60	reduction	reduction	NOUN
fcis-31262	3	61	.	.	PUNCT
fcis-31262	4	1	firstly	firstly	ADV
fcis-31262	4	2	,	,	PUNCT
fcis-31262	4	3	a	a	DET
fcis-31262	4	4	single	single	ADJ
fcis-31262	4	5	-	-	PUNCT
fcis-31262	4	6	vehicle	vehicle	NOUN
fcis-31262	4	7	basic	basic	ADJ
fcis-31262	4	8	route	route	NOUN
fcis-31262	4	9	optimisation	optimisation	NOUN
fcis-31262	4	10	model	model	NOUN
fcis-31262	4	11	is	be	AUX
fcis-31262	4	12	constructed	construct	VERB
fcis-31262	4	13	,	,	PUNCT
fcis-31262	4	14	and	and	CCONJ
fcis-31262	4	15	a	a	DET
fcis-31262	4	16	mixed	mixed	ADJ
fcis-31262	4	17	-	-	PUNCT
fcis-31262	4	18	integer	integer	NOUN
fcis-31262	4	19	programming	programming	NOUN
fcis-31262	4	20	model	model	NOUN
fcis-31262	4	21	is	be	AUX
fcis-31262	4	22	solved	solve	VERB
fcis-31262	4	23	using	use	VERB
fcis-31262	4	24	a	a	DET
fcis-31262	4	25	greedy	greedy	ADJ
fcis-31262	4	26	algorithm	algorithm	NOUN
fcis-31262	4	27	.	.	PUNCT
fcis-31262	5	1	in	in	ADP
fcis-31262	5	2	a	a	DET
fcis-31262	5	3	case	case	NOUN
fcis-31262	5	4	study	study	NOUN
fcis-31262	5	5	involving	involve	VERB
fcis-31262	5	6	30	30	NUM
fcis-31262	5	7	collection	collection	NOUN
fcis-31262	5	8	points	point	NOUN
fcis-31262	5	9	and	and	CCONJ
fcis-31262	5	10	a	a	DET
fcis-31262	5	11	load	load	NOUN
fcis-31262	5	12	capacity	capacity	NOUN
fcis-31262	5	13	of	of	ADP
fcis-31262	5	14	125	125	NUM
fcis-31262	5	15	tonnes	tonne	NOUN
fcis-31262	5	16	,	,	PUNCT
fcis-31262	5	17	the	the	DET
fcis-31262	5	18	optimal	optimal	ADJ
fcis-31262	5	19	driving	driving	NOUN
fcis-31262	5	20	distance	distance	NOUN
fcis-31262	5	21	algorithm	algorithm	NOUN
fcis-31262	5	22	is	be	AUX
fcis-31262	5	23	obtained	obtain	VERB
fcis-31262	5	24	,	,	PUNCT
fcis-31262	5	25	and	and	CCONJ
fcis-31262	5	26	the	the	DET
fcis-31262	5	27	route	route	NOUN
fcis-31262	5	28	is	be	AUX
fcis-31262	5	29	optimised	optimise	VERB
fcis-31262	5	30	through	through	ADP
fcis-31262	5	31	clustering	clustering	NOUN
fcis-31262	5	32	and	and	CCONJ
fcis-31262	5	33	shortest	short	ADJ
fcis-31262	5	34	path	path	NOUN
fcis-31262	5	35	strategies	strategy	NOUN
fcis-31262	5	36	.	.	PUNCT
fcis-31262	6	1	secondly	secondly	ADV
fcis-31262	6	2	,	,	PUNCT
fcis-31262	6	3	in	in	ADP
fcis-31262	6	4	a	a	DET
fcis-31262	6	5	multi	multi	ADJ
fcis-31262	6	6	-	-	ADJ
fcis-31262	6	7	vehicle	vehicle	ADJ
fcis-31262	6	8	collaborative	collaborative	ADJ
fcis-31262	6	9	scenario	scenario	NOUN
fcis-31262	6	10	,	,	PUNCT
fcis-31262	6	11	a	a	DET
fcis-31262	6	12	multi	multi	ADJ
fcis-31262	6	13	-	-	ADJ
fcis-31262	6	14	objective	objective	ADJ
fcis-31262	6	15	model	model	NOUN
fcis-31262	6	16	incorporating	incorporate	VERB
fcis-31262	6	17	carbon	carbon	NOUN
fcis-31262	6	18	costs	cost	NOUN
fcis-31262	6	19	is	be	AUX
fcis-31262	6	20	constructed	construct	VERB
fcis-31262	6	21	,	,	PUNCT
fcis-31262	6	22	solved	solve	VERB
fcis-31262	6	23	using	use	VERB
fcis-31262	6	24	integer	integer	NOUN
fcis-31262	6	25	linear	linear	ADJ
fcis-31262	6	26	programming	programming	NOUN
fcis-31262	6	27	and	and	CCONJ
fcis-31262	6	28	genetic	genetic	ADJ
fcis-31262	6	29	algorithms	algorithm	NOUN
fcis-31262	6	30	,	,	PUNCT
fcis-31262	6	31	and	and	CCONJ
fcis-31262	6	32	it	it	PRON
fcis-31262	6	33	is	be	AUX
fcis-31262	6	34	verified	verify	VERB
fcis-31262	6	35	that	that	SCONJ
fcis-31262	6	36	transportation	transportation	NOUN
fcis-31262	6	37	costs	cost	NOUN
fcis-31262	6	38	are	be	AUX
fcis-31262	6	39	positively	positively	ADV
fcis-31262	6	40	correlated	correlate	VERB
fcis-31262	6	41	with	with	ADP
fcis-31262	6	42	the	the	DET
fcis-31262	6	43	distance	distance	NOUN
fcis-31262	6	44	to	to	ADP
fcis-31262	6	45	collection	collection	NOUN
fcis-31262	6	46	points	point	NOUN
fcis-31262	6	47	.	.	PUNCT
fcis-31262	7	1	finally	finally	ADV
fcis-31262	7	2	,	,	PUNCT
fcis-31262	7	3	transfer	transfer	NOUN
fcis-31262	7	4	station	station	NOUN
fcis-31262	7	5	location	location	NOUN
fcis-31262	7	6	constraints	constraint	NOUN
fcis-31262	7	7	are	be	AUX
fcis-31262	7	8	incorporated	incorporate	VERB
fcis-31262	7	9	to	to	PART
fcis-31262	7	10	construct	construct	VERB
fcis-31262	7	11	a	a	DET
fcis-31262	7	12	‘	'	PUNCT
fcis-31262	7	13	location	location	NOUN
fcis-31262	7	14	-	-	PUNCT
fcis-31262	7	15	route	route	NOUN
fcis-31262	7	16	-	-	PUNCT
fcis-31262	7	17	carbon	carbon	NOUN
fcis-31262	7	18	emissions	emission	NOUN
fcis-31262	7	19	’	'	PUNCT
fcis-31262	7	20	model	model	NOUN
fcis-31262	7	21	.	.	PUNCT
fcis-31262	8	1	k	k	X
fcis-31262	8	2	-	-	PUNCT
fcis-31262	8	3	means	mean	VERB
fcis-31262	8	4	clustering	clustering	NOUN
fcis-31262	8	5	is	be	AUX
fcis-31262	8	6	used	use	VERB
fcis-31262	8	7	to	to	PART
fcis-31262	8	8	divide	divide	VERB
fcis-31262	8	9	the	the	DET
fcis-31262	8	10	collection	collection	NOUN
fcis-31262	8	11	points	point	NOUN
fcis-31262	8	12	into	into	ADP
fcis-31262	8	13	three	three	NUM
fcis-31262	8	14	clusters	cluster	NOUN
fcis-31262	8	15	to	to	PART
fcis-31262	8	16	determine	determine	VERB
fcis-31262	8	17	transfer	transfer	NOUN
fcis-31262	8	18	station	station	NOUN
fcis-31262	8	19	locations	location	NOUN
fcis-31262	8	20	,	,	PUNCT
fcis-31262	8	21	and	and	CCONJ
fcis-31262	8	22	the	the	DET
fcis-31262	8	23	minimum	minimum	ADJ
fcis-31262	8	24	spanning	span	VERB
fcis-31262	8	25	tree	tree	NOUN
fcis-31262	8	26	is	be	AUX
fcis-31262	8	27	then	then	ADV
fcis-31262	8	28	used	use	VERB
fcis-31262	8	29	to	to	PART
fcis-31262	8	30	optimise	optimise	VERB
fcis-31262	8	31	the	the	DET
fcis-31262	8	32	routes	route	NOUN
fcis-31262	8	33	,	,	PUNCT
fcis-31262	8	34	achieving	achieve	VERB
fcis-31262	8	35	a	a	DET
fcis-31262	8	36	reduction	reduction	NOUN
fcis-31262	8	37	in	in	ADP
fcis-31262	8	38	overall	overall	ADJ
fcis-31262	8	39	costs	cost	NOUN
fcis-31262	8	40	.	.	PUNCT
fcis-31262	9	1	the	the	DET
fcis-31262	9	2	research	research	NOUN
fcis-31262	9	3	findings	finding	NOUN
fcis-31262	9	4	provide	provide	VERB
fcis-31262	9	5	decision	decision	NOUN
fcis-31262	9	6	-	-	PUNCT
fcis-31262	9	7	making	make	VERB
fcis-31262	9	8	tools	tool	NOUN
fcis-31262	9	9	for	for	ADP
fcis-31262	9	10	waste	waste	NOUN
fcis-31262	9	11	sorting	sorting	NOUN
fcis-31262	9	12	transportation	transportation	NOUN
fcis-31262	9	13	,	,	PUNCT
fcis-31262	9	14	applicable	applicable	ADJ
fcis-31262	9	15	to	to	ADP
fcis-31262	9	16	collection	collection	NOUN
fcis-31262	9	17	and	and	CCONJ
fcis-31262	9	18	transportation	transportation	NOUN
fcis-31262	9	19	system	system	NOUN
fcis-31262	9	20	planning	planning	NOUN
fcis-31262	9	21	,	,	PUNCT
fcis-31262	9	22	and	and	CCONJ
fcis-31262	9	23	contribute	contribute	VERB
fcis-31262	9	24	to	to	ADP
fcis-31262	9	25	the	the	DET
fcis-31262	9	26	achievement	achievement	NOUN
fcis-31262	9	27	of	of	ADP
fcis-31262	9	28	the	the	DET
fcis-31262	9	29	‘	'	PUNCT
fcis-31262	9	30	dual	dual	ADJ
fcis-31262	9	31	carbon	carbon	NOUN
fcis-31262	9	32	’	'	PUNCT
fcis-31262	9	33	goals	goal	NOUN
fcis-31262	9	34	.	.	PUNCT
fcis-31262	10	1	keywords	keyword	NOUN
fcis-31262	10	2	:	:	PUNCT
fcis-31262	10	3	greedy	greedy	ADJ
fcis-31262	10	4	algorithm	algorithm	NOUN
fcis-31262	10	5	;	;	PUNCT
fcis-31262	10	6	genetic	genetic	ADJ
fcis-31262	10	7	algorithm	algorithm	NOUN
fcis-31262	10	8	;	;	PUNCT
fcis-31262	10	9	k	k	X
fcis-31262	10	10	-	-	PUNCT
fcis-31262	10	11	means	mean	VERB
fcis-31262	10	12	clustering	clustering	ADJ
fcis-31262	10	13	algorithm	algorithm	NOUN
fcis-31262	10	14	;	;	PUNCT
fcis-31262	10	15	minimum	minimum	NOUN
fcis-31262	10	16	spanning	span	VERB
fcis-31262	10	17	tree	tree	NOUN
fcis-31262	10	18	algorithm	algorithm	NOUN
fcis-31262	10	19	.	.	PUNCT
fcis-31262	11	1	1	1	X
fcis-31262	11	2	.	.	X
fcis-31262	11	3	introduction	introduction	NOUN
fcis-31262	11	4	with	with	ADP
fcis-31262	11	5	the	the	DET
fcis-31262	11	6	accelerated	accelerated	ADJ
fcis-31262	11	7	pace	pace	NOUN
fcis-31262	11	8	of	of	ADP
fcis-31262	11	9	urbanization	urbanization	NOUN
fcis-31262	11	10	,	,	PUNCT
fcis-31262	11	11	the	the	DET
fcis-31262	11	12	production	production	NOUN
fcis-31262	11	13	of	of	ADP
fcis-31262	11	14	municipal	municipal	ADJ
fcis-31262	11	15	solid	solid	ADJ
fcis-31262	11	16	waste	waste	NOUN
fcis-31262	11	17	in	in	ADP
fcis-31262	11	18	china	china	PROPN
fcis-31262	11	19	has	have	AUX
fcis-31262	11	20	experienced	experience	VERB
fcis-31262	11	21	explosive	explosive	ADJ
fcis-31262	11	22	growth	growth	NOUN
fcis-31262	11	23	.	.	PUNCT
fcis-31262	12	1	against	against	ADP
fcis-31262	12	2	this	this	DET
fcis-31262	12	3	backdrop	backdrop	NOUN
fcis-31262	12	4	,	,	PUNCT
fcis-31262	12	5	how	how	SCONJ
fcis-31262	12	6	to	to	PART
fcis-31262	12	7	address	address	VERB
fcis-31262	12	8	waste	waste	NOUN
fcis-31262	12	9	management	management	NOUN
fcis-31262	12	10	challenges	challenge	NOUN
fcis-31262	12	11	through	through	ADP
fcis-31262	12	12	scientific	scientific	ADJ
fcis-31262	12	13	route	route	NOUN
fcis-31262	12	14	optimization	optimization	NOUN
fcis-31262	12	15	and	and	CCONJ
fcis-31262	12	16	scheduling	scheduling	NOUN
fcis-31262	12	17	strategies	strategy	NOUN
fcis-31262	12	18	has	have	AUX
fcis-31262	12	19	become	become	VERB
fcis-31262	12	20	a	a	DET
fcis-31262	12	21	critical	critical	ADJ
fcis-31262	12	22	issue	issue	NOUN
fcis-31262	12	23	for	for	ADP
fcis-31262	12	24	urban	urban	ADJ
fcis-31262	12	25	sustainable	sustainable	ADJ
fcis-31262	12	26	development	development	NOUN
fcis-31262	13	1	[	[	X
fcis-31262	13	2	1	1	NUM
fcis-31262	13	3	]	]	PUNCT
fcis-31262	13	4	.	.	PUNCT
fcis-31262	14	1	this	this	DET
fcis-31262	14	2	study	study	NOUN
fcis-31262	14	3	is	be	AUX
fcis-31262	14	4	grounded	ground	VERB
fcis-31262	14	5	in	in	ADP
fcis-31262	14	6	the	the	DET
fcis-31262	14	7	practical	practical	ADJ
fcis-31262	14	8	needs	need	NOUN
fcis-31262	14	9	of	of	ADP
fcis-31262	14	10	municipal	municipal	ADJ
fcis-31262	14	11	waste	waste	NOUN
fcis-31262	14	12	sorting	sorting	NOUN
fcis-31262	14	13	and	and	CCONJ
fcis-31262	14	14	transportation	transportation	NOUN
fcis-31262	14	15	,	,	PUNCT
fcis-31262	14	16	targeting	target	VERB
fcis-31262	14	17	typical	typical	ADJ
fcis-31262	14	18	scenarios	scenario	NOUN
fcis-31262	14	19	involving	involve	VERB
fcis-31262	14	20	single	single	ADJ
fcis-31262	14	21	vehicles	vehicle	NOUN
fcis-31262	14	22	,	,	PUNCT
fcis-31262	14	23	multivehicle	multivehicle	NOUN
fcis-31262	14	24	coordination	coordination	NOUN
fcis-31262	14	25	,	,	PUNCT
fcis-31262	14	26	and	and	CCONJ
fcis-31262	14	27	transfer	transfer	NOUN
fcis-31262	14	28	stations	station	NOUN
fcis-31262	14	29	.	.	PUNCT
fcis-31262	15	1	it	it	PRON
fcis-31262	15	2	systematically	systematically	ADV
fcis-31262	15	3	constructs	construct	VERB
fcis-31262	15	4	dynamic	dynamic	ADJ
fcis-31262	15	5	mathematical	mathematical	ADJ
fcis-31262	15	6	models	model	NOUN
fcis-31262	15	7	and	and	CCONJ
fcis-31262	15	8	designs	design	VERB
fcis-31262	15	9	efficient	efficient	ADJ
fcis-31262	15	10	solution	solution	NOUN
fcis-31262	15	11	algorithms	algorithm	NOUN
fcis-31262	15	12	[	[	X
fcis-31262	15	13	2	2	NUM
fcis-31262	15	14	]	]	PUNCT
fcis-31262	15	15	.	.	PUNCT
fcis-31262	16	1	first	first	ADV
fcis-31262	16	2	,	,	PUNCT
fcis-31262	16	3	the	the	DET
fcis-31262	16	4	study	study	NOUN
fcis-31262	16	5	constructs	construct	VERB
fcis-31262	16	6	a	a	DET
fcis-31262	16	7	basic	basic	ADJ
fcis-31262	16	8	route	route	NOUN
fcis-31262	16	9	optimization	optimization	NOUN
fcis-31262	16	10	model	model	NOUN
fcis-31262	16	11	for	for	ADP
fcis-31262	16	12	single	single	ADJ
fcis-31262	16	13	-	-	PUNCT
fcis-31262	16	14	vehicle	vehicle	NOUN
fcis-31262	16	15	scenarios	scenario	NOUN
fcis-31262	16	16	,	,	PUNCT
fcis-31262	16	17	employing	employ	VERB
fcis-31262	16	18	a	a	DET
fcis-31262	16	19	greedy	greedy	ADJ
fcis-31262	16	20	algorithm	algorithm	NOUN
fcis-31262	16	21	to	to	PART
fcis-31262	16	22	solve	solve	VERB
fcis-31262	16	23	a	a	DET
fcis-31262	16	24	mixed	mixed	ADJ
fcis-31262	16	25	-	-	PUNCT
fcis-31262	16	26	integer	integer	NOUN
fcis-31262	16	27	programming	programming	NOUN
fcis-31262	16	28	model	model	NOUN
fcis-31262	16	29	[	[	X
fcis-31262	16	30	3	3	NUM
fcis-31262	16	31	]	]	PUNCT
fcis-31262	16	32	.	.	PUNCT
fcis-31262	17	1	in	in	ADP
fcis-31262	17	2	a	a	DET
fcis-31262	17	3	case	case	NOUN
fcis-31262	17	4	study	study	NOUN
fcis-31262	17	5	involving	involve	VERB
fcis-31262	17	6	30	30	NUM
fcis-31262	17	7	collection	collection	NOUN
fcis-31262	17	8	points	point	NOUN
fcis-31262	17	9	and	and	CCONJ
fcis-31262	17	10	a	a	DET
fcis-31262	17	11	load	load	NOUN
fcis-31262	17	12	capacity	capacity	NOUN
fcis-31262	17	13	of	of	ADP
fcis-31262	17	14	125	125	NUM
fcis-31262	17	15	tons	ton	NOUN
fcis-31262	17	16	,	,	PUNCT
fcis-31262	17	17	the	the	DET
fcis-31262	17	18	algorithm	algorithm	NOUN
fcis-31262	17	19	yields	yield	VERB
fcis-31262	17	20	the	the	DET
fcis-31262	17	21	optimal	optimal	ADJ
fcis-31262	17	22	travel	travel	NOUN
fcis-31262	17	23	distance	distance	NOUN
fcis-31262	17	24	solution	solution	NOUN
fcis-31262	17	25	.	.	PUNCT
fcis-31262	18	1	second	second	ADJ
fcis-31262	18	2	,	,	PUNCT
fcis-31262	18	3	the	the	DET
fcis-31262	18	4	model	model	NOUN
fcis-31262	18	5	is	be	AUX
fcis-31262	18	6	extended	extend	VERB
fcis-31262	18	7	to	to	ADP
fcis-31262	18	8	multi	multi	ADJ
fcis-31262	18	9	-	-	ADJ
fcis-31262	18	10	vehicle	vehicle	NOUN
fcis-31262	18	11	scenarios	scenario	NOUN
fcis-31262	18	12	,	,	PUNCT
fcis-31262	18	13	utilizing	utilize	VERB
fcis-31262	18	14	a	a	DET
fcis-31262	18	15	multi	multi	ADJ
fcis-31262	18	16	-	-	ADJ
fcis-31262	18	17	objective	objective	ADJ
fcis-31262	18	18	model	model	NOUN
fcis-31262	18	19	and	and	CCONJ
fcis-31262	18	20	genetic	genetic	ADJ
fcis-31262	18	21	algorithms	algorithm	NOUN
fcis-31262	18	22	to	to	PART
fcis-31262	18	23	address	address	VERB
fcis-31262	18	24	multi	multi	ADJ
fcis-31262	18	25	-	-	ADJ
fcis-31262	18	26	vehicle	vehicle	NOUN
fcis-31262	18	27	coordination	coordination	NOUN
fcis-31262	18	28	scheduling	scheduling	NOUN
fcis-31262	19	1	[	[	X
fcis-31262	19	2	4	4	NUM
fcis-31262	19	3	]	]	PUNCT
fcis-31262	19	4	,	,	PUNCT
fcis-31262	19	5	confirming	confirm	VERB
fcis-31262	19	6	a	a	DET
fcis-31262	19	7	positive	positive	ADJ
fcis-31262	19	8	correlation	correlation	NOUN
fcis-31262	19	9	between	between	ADP
fcis-31262	19	10	transportation	transportation	NOUN
fcis-31262	19	11	costs	cost	NOUN
fcis-31262	19	12	and	and	CCONJ
fcis-31262	19	13	distance	distance	NOUN
fcis-31262	19	14	.	.	PUNCT
fcis-31262	20	1	finally	finally	ADV
fcis-31262	20	2	,	,	PUNCT
fcis-31262	20	3	the	the	DET
fcis-31262	20	4	study	study	NOUN
fcis-31262	20	5	incorporates	incorporate	VERB
fcis-31262	20	6	transfer	transfer	NOUN
fcis-31262	20	7	station	station	NOUN
fcis-31262	20	8	location	location	NOUN
fcis-31262	20	9	constraints	constraint	NOUN
fcis-31262	20	10	,	,	PUNCT
fcis-31262	20	11	constructing	construct	VERB
fcis-31262	20	12	a	a	DET
fcis-31262	20	13	“	"	PUNCT
fcis-31262	20	14	location	location	NOUN
fcis-31262	20	15	-	-	PUNCT
fcis-31262	20	16	route	route	NOUN
fcis-31262	20	17	-	-	PUNCT
fcis-31262	20	18	carbon	carbon	NOUN
fcis-31262	20	19	emissions	emission	NOUN
fcis-31262	20	20	”	"	PUNCT
fcis-31262	20	21	model	model	NOUN
fcis-31262	20	22	.	.	PUNCT
fcis-31262	21	1	the	the	DET
fcis-31262	21	2	k	k	NOUN
fcis-31262	21	3	-	-	PUNCT
fcis-31262	21	4	means	mean	VERB
fcis-31262	21	5	clustering	clustering	ADJ
fcis-31262	21	6	algorithm	algorithm	NOUN
fcis-31262	21	7	is	be	AUX
fcis-31262	21	8	first	first	ADV
fcis-31262	21	9	used	use	VERB
fcis-31262	21	10	to	to	PART
fcis-31262	21	11	determine	determine	VERB
fcis-31262	21	12	transfer	transfer	NOUN
fcis-31262	21	13	station	station	NOUN
fcis-31262	21	14	locations	location	NOUN
fcis-31262	21	15	[	[	X
fcis-31262	21	16	5	5	NUM
fcis-31262	21	17	]	]	PUNCT
fcis-31262	21	18	,	,	PUNCT
fcis-31262	21	19	followed	follow	VERB
fcis-31262	21	20	by	by	ADP
fcis-31262	21	21	the	the	DET
fcis-31262	21	22	minimum	minimum	ADJ
fcis-31262	21	23	spanning	span	VERB
fcis-31262	21	24	tree	tree	NOUN
fcis-31262	21	25	algorithm	algorithm	NOUN
fcis-31262	21	26	to	to	PART
fcis-31262	21	27	optimize	optimize	VERB
fcis-31262	21	28	transportation	transportation	NOUN
fcis-31262	21	29	routes	route	NOUN
fcis-31262	21	30	[	[	X
fcis-31262	21	31	6	6	NUM
fcis-31262	21	32	]	]	PUNCT
fcis-31262	21	33	,	,	PUNCT
fcis-31262	21	34	thereby	thereby	ADV
fcis-31262	21	35	reducing	reduce	VERB
fcis-31262	21	36	overall	overall	ADJ
fcis-31262	21	37	costs	cost	NOUN
fcis-31262	21	38	.	.	PUNCT
fcis-31262	22	1	the	the	DET
fcis-31262	22	2	research	research	NOUN
fcis-31262	22	3	findings	finding	NOUN
fcis-31262	22	4	provide	provide	VERB
fcis-31262	22	5	decision	decision	NOUN
fcis-31262	22	6	-	-	PUNCT
fcis-31262	22	7	making	make	VERB
fcis-31262	22	8	support	support	NOUN
fcis-31262	22	9	for	for	ADP
fcis-31262	22	10	urban	urban	ADJ
fcis-31262	22	11	waste	waste	PROPN
fcis-31262	22	12	collection	collection	NOUN
fcis-31262	22	13	and	and	CCONJ
fcis-31262	22	14	transportation	transportation	NOUN
fcis-31262	22	15	systems	system	NOUN
fcis-31262	22	16	that	that	PRON
fcis-31262	22	17	combines	combine	VERB
fcis-31262	22	18	theoretical	theoretical	ADJ
fcis-31262	22	19	innovation	innovation	NOUN
fcis-31262	22	20	with	with	ADP
fcis-31262	22	21	practical	practical	ADJ
fcis-31262	22	22	value	value	NOUN
fcis-31262	22	23	,	,	PUNCT
fcis-31262	22	24	and	and	CCONJ
fcis-31262	22	25	can	can	AUX
fcis-31262	22	26	be	be	AUX
fcis-31262	22	27	directly	directly	ADV
fcis-31262	22	28	applied	apply	VERB
fcis-31262	22	29	to	to	ADP
fcis-31262	22	30	collection	collection	NOUN
fcis-31262	22	31	and	and	CCONJ
fcis-31262	22	32	transportation	transportation	NOUN
fcis-31262	22	33	planning	planning	NOUN
fcis-31262	22	34	,	,	PUNCT
fcis-31262	22	35	facilitating	facilitate	VERB
fcis-31262	22	36	the	the	DET
fcis-31262	22	37	intelligent	intelligent	ADJ
fcis-31262	22	38	transformation	transformation	NOUN
fcis-31262	22	39	of	of	ADP
fcis-31262	22	40	solid	solid	ADJ
fcis-31262	22	41	waste	waste	NOUN
fcis-31262	22	42	management	management	NOUN
fcis-31262	22	43	under	under	ADP
fcis-31262	22	44	the	the	DET
fcis-31262	22	45	“	"	PUNCT
fcis-31262	22	46	dual	dual	ADJ
fcis-31262	22	47	carbon	carbon	NOUN
fcis-31262	22	48	”	"	PUNCT
fcis-31262	22	49	goals	goal	NOUN
fcis-31262	22	50	.	.	PUNCT
fcis-31262	23	1	2	2	X
fcis-31262	23	2	.	.	X
fcis-31262	23	3	basic	basic	ADJ
fcis-31262	23	4	path	path	NOUN
fcis-31262	23	5	optimisation	optimisation	NOUN
fcis-31262	23	6	and	and	CCONJ
fcis-31262	23	7	scheduling	scheduling	NOUN
fcis-31262	23	8	for	for	ADP
fcis-31262	23	9	a	a	DET
fcis-31262	23	10	single	single	ADJ
fcis-31262	23	11	vehicle	vehicle	NOUN
fcis-31262	23	12	type	type	NOUN
fcis-31262	23	13	2.1	2.1	NUM
fcis-31262	23	14	.	.	PUNCT
fcis-31262	23	15	model	model	NOUN
fcis-31262	23	16	establishment	establishment	NOUN
fcis-31262	23	17	and	and	CCONJ
fcis-31262	23	18	solution	solution	NOUN
fcis-31262	23	19	first	first	ADV
fcis-31262	23	20	,	,	PUNCT
fcis-31262	23	21	the	the	DET
fcis-31262	23	22	following	follow	VERB
fcis-31262	23	23	notations	notation	NOUN
fcis-31262	23	24	are	be	AUX
fcis-31262	23	25	defined	define	VERB
fcis-31262	23	26	:	:	PUNCT
fcis-31262	23	27	let	let	VERB
fcis-31262	23	28	0	0	NUM
fcis-31262	23	29	,	,	PUNCT
fcis-31262	23	30	1	1	NUM
fcis-31262	23	31	,	,	PUNCT
fcis-31262	23	32	.	.	PUNCT
fcis-31262	23	33	.	.	PUNCT
fcis-31262	24	1	.	.	PUNCT
fcis-31262	25	1	,	,	PUNCT
fcis-31262	25	2	be	be	AUX
fcis-31262	25	3	the	the	DET
fcis-31262	25	4	set	set	NOUN
fcis-31262	25	5	of	of	ADP
fcis-31262	25	6	nodes	node	NOUN
fcis-31262	25	7	,	,	PUNCT
fcis-31262	25	8	where	where	SCONJ
fcis-31262	25	9	0	0	NUM
fcis-31262	25	10	represents	represent	VERB
fcis-31262	25	11	the	the	DET
fcis-31262	25	12	waste	waste	NOUN
fcis-31262	25	13	treatment	treatment	NOUN
fcis-31262	25	14	plant	plant	NOUN
fcis-31262	25	15	and	and	CCONJ
fcis-31262	25	16	the	the	DET
fcis-31262	25	17	rest	rest	NOUN
fcis-31262	25	18	represent	represent	VERB
fcis-31262	25	19	collection	collection	NOUN
fcis-31262	25	20	points	point	NOUN
fcis-31262	25	21	.	.	PUNCT
fcis-31262	26	1	let	let	VERB
fcis-31262	26	2	1	1	NUM
fcis-31262	26	3	,	,	PUNCT
fcis-31262	26	4	2	2	NUM
fcis-31262	26	5	,	,	PUNCT
fcis-31262	26	6	.	.	PUNCT
fcis-31262	26	7	.	.	PUNCT
fcis-31262	27	1	.	.	PUNCT
fcis-31262	28	1	,	,	PUNCT
fcis-31262	28	2	be	be	AUX
fcis-31262	28	3	the	the	DET
fcis-31262	28	4	set	set	NOUN
fcis-31262	28	5	of	of	ADP
fcis-31262	28	6	vehicles	vehicle	NOUN
fcis-31262	28	7	(	(	PUNCT
fcis-31262	28	8	up	up	ADP
fcis-31262	28	9	to	to	ADP
fcis-31262	28	10	vehicles	vehicle	NOUN
fcis-31262	28	11	can	can	AUX
fcis-31262	28	12	be	be	AUX
fcis-31262	28	13	deployed	deploy	VERB
fcis-31262	28	14	)	)	PUNCT
fcis-31262	28	15	.	.	PUNCT
fcis-31262	29	1	let	let	VERB
fcis-31262	29	2	1	1	NUM
fcis-31262	29	3	,	,	PUNCT
fcis-31262	29	4	2	2	NUM
fcis-31262	29	5	,	,	PUNCT
fcis-31262	29	6	.	.	PUNCT
fcis-31262	29	7	.	.	PUNCT
fcis-31262	30	1	.	.	PUNCT
fcis-31262	31	1	,	,	PUNCT
fcis-31262	31	2	be	be	AUX
fcis-31262	31	3	the	the	DET
fcis-31262	31	4	‘	'	PUNCT
fcis-31262	31	5	trip	trip	NOUN
fcis-31262	31	6	’	'	PUNCT
fcis-31262	31	7	index	index	NOUN
fcis-31262	31	8	for	for	ADP
fcis-31262	31	9	each	each	DET
fcis-31262	31	10	vehicle	vehicle	NOUN
fcis-31262	31	11	,	,	PUNCT
fcis-31262	31	12	where	where	SCONJ
fcis-31262	31	13	each	each	DET
fcis-31262	31	14	vehicle	vehicle	NOUN
fcis-31262	31	15	can	can	AUX
fcis-31262	31	16	make	make	VERB
fcis-31262	31	17	multiple	multiple	ADJ
fcis-31262	31	18	round	round	ADJ
fcis-31262	31	19	trips	trip	NOUN
fcis-31262	31	20	.	.	PUNCT
fcis-31262	32	1	parameter	parameter	NOUN
fcis-31262	32	2	:	:	PUNCT
fcis-31262	32	3	daily	daily	ADJ
fcis-31262	32	4	waste	waste	NOUN
fcis-31262	32	5	generation	generation	NOUN
fcis-31262	32	6	of	of	ADP
fcis-31262	32	7	node	node	NOUN
fcis-31262	32	8	(	(	PUNCT
fcis-31262	32	9	tonnes	tonne	NOUN
fcis-31262	32	10	)	)	PUNCT
fcis-31262	32	11	.	.	PUNCT
fcis-31262	32	12	is	be	AUX
fcis-31262	32	13	the	the	DET
fcis-31262	32	14	maximum	maximum	ADJ
fcis-31262	32	15	load	load	NOUN
fcis-31262	32	16	capacity	capacity	NOUN
fcis-31262	32	17	per	per	ADP
fcis-31262	32	18	vehicle	vehicle	NOUN
fcis-31262	32	19	(	(	PUNCT
fcis-31262	32	20	tonnes	tonne	NOUN
fcis-31262	32	21	)	)	PUNCT
fcis-31262	32	22	.	.	PUNCT
fcis-31262	33	1	,	,	PUNCT
fcis-31262	33	2	is	be	AUX
fcis-31262	33	3	the	the	DET
fcis-31262	33	4	service	service	NOUN
fcis-31262	33	5	time	time	NOUN
fcis-31262	33	6	window	window	NOUN
fcis-31262	33	7	(	(	PUNCT
fcis-31262	33	8	hours	hour	NOUN
fcis-31262	33	9	)	)	PUNCT
fcis-31262	33	10	for	for	ADP
fcis-31262	33	11	node	node	NOUN
fcis-31262	33	12	,	,	PUNCT
fcis-31262	33	13	where	where	SCONJ
fcis-31262	33	14	0	0	NUM
fcis-31262	33	15	,	,	PUNCT
fcis-31262	33	16	max	max	PROPN
fcis-31262	33	17	.	.	PUNCT
fcis-31262	34	1	is	be	AUX
fcis-31262	34	2	the	the	DET
fcis-31262	34	3	distance	distance	NOUN
fcis-31262	34	4	or	or	CCONJ
fcis-31262	34	5	equivalent	equivalent	ADJ
fcis-31262	34	6	‘	'	PUNCT
fcis-31262	34	7	cost	cost	NOUN
fcis-31262	34	8	distance	distance	NOUN
fcis-31262	34	9	’	'	PUNCT
fcis-31262	34	10	(	(	PUNCT
fcis-31262	34	11	which	which	PRON
fcis-31262	34	12	may	may	AUX
fcis-31262	34	13	vary	vary	VERB
fcis-31262	34	14	with	with	ADP
fcis-31262	34	15	the	the	DET
fcis-31262	34	16	congestion	congestion	NOUN
fcis-31262	34	17	coefficient	coefficient	NOUN
fcis-31262	34	18	)	)	PUNCT
fcis-31262	34	19	from	from	ADP
fcis-31262	34	20	to	to	ADP
fcis-31262	34	21	at	at	ADP
fcis-31262	34	22	time	time	NOUN
fcis-31262	34	23	.	.	PUNCT
fcis-31262	35	1	is	be	AUX
fcis-31262	35	2	the	the	DET
fcis-31262	35	3	travel	travel	NOUN
fcis-31262	35	4	time	time	NOUN
fcis-31262	35	5	(	(	PUNCT
fcis-31262	35	6	h	h	NOUN
fcis-31262	35	7	)	)	PUNCT
fcis-31262	35	8	from	from	ADP
fcis-31262	35	9	to	to	ADP
fcis-31262	35	10	at	at	ADP
fcis-31262	35	11	time	time	NOUN
fcis-31262	35	12	.	.	PUNCT
fcis-31262	36	1	,	,	PUNCT
fcis-31262	36	2	is	be	AUX
fcis-31262	36	3	the	the	DET
fcis-31262	36	4	carbon	carbon	NOUN
fcis-31262	36	5	emission	emission	NOUN
fcis-31262	36	6	coefficients	coefficient	NOUN
fcis-31262	36	7	,	,	PUNCT
fcis-31262	36	8	vehicle	vehicle	NOUN
fcis-31262	36	9	emissions	emission	NOUN
fcis-31262	36	10	of	of	ADP
fcis-31262	36	11	per	per	ADP
fcis-31262	36	12	tonnekilometre	tonnekilometre	NOUN
fcis-31262	36	13	;	;	PUNCT
fcis-31262	36	14	fixed	fix	VERB
fcis-31262	36	15	emissions	emission	NOUN
fcis-31262	36	16	of	of	ADP
fcis-31262	36	17	per	per	ADP
fcis-31262	36	18	kilometre	kilometre	NOUN
fcis-31262	36	19	.	.	PUNCT
fcis-31262	37	1	max	max	PROPN
fcis-31262	37	2	is	be	AUX
fcis-31262	37	3	the	the	DET
fcis-31262	37	4	maximum	maximum	ADJ
fcis-31262	37	5	daily	daily	ADJ
fcis-31262	37	6	operating	operating	NOUN
fcis-31262	37	7	time	time	NOUN
fcis-31262	37	8	of	of	ADP
fcis-31262	37	9	the	the	DET
fcis-31262	37	10	vehicle	vehicle	NOUN
fcis-31262	37	11	(	(	PUNCT
fcis-31262	37	12	hours	hour	NOUN
fcis-31262	37	13	)	)	PUNCT
fcis-31262	37	14	.	.	PUNCT
fcis-31262	38	1	secondly	secondly	ADV
fcis-31262	38	2	,	,	PUNCT
fcis-31262	38	3	decision	decision	NOUN
fcis-31262	38	4	variables	variable	VERB
fcis-31262	38	5	∈	∈	NOUN
fcis-31262	38	6	0,1	0,1	NUM
fcis-31262	38	7	:	:	PUNCT
fcis-31262	38	8	if	if	SCONJ
fcis-31262	38	9	vehicle	vehicle	NOUN
fcis-31262	38	10	's	's	PART
fcis-31262	38	11	th	th	NOUN
fcis-31262	38	12	trip	trip	NOUN
fcis-31262	38	13	travels	travel	VERB
fcis-31262	38	14	from	from	ADP
fcis-31262	38	15	node	node	NOUN
fcis-31262	38	16	to	to	PART
fcis-31262	38	17	node	node	VERB
fcis-31262	38	18	during	during	ADP
fcis-31262	38	19	time	time	NOUN
fcis-31262	38	20	period	period	NOUN
fcis-31262	38	21	,	,	PUNCT
fcis-31262	38	22	then	then	ADV
fcis-31262	38	23	1	1	NUM
fcis-31262	38	24	;	;	PUNCT
fcis-31262	38	25	otherwise	otherwise	ADV
fcis-31262	38	26	,	,	PUNCT
fcis-31262	38	27	0	0	NUM
fcis-31262	38	28	.	.	PUNCT
fcis-31262	39	1	∈	∈	NOUN
fcis-31262	39	2	0,1	0,1	NUM
fcis-31262	39	3	:	:	PUNCT
fcis-31262	39	4	if	if	SCONJ
fcis-31262	39	5	vehicle	vehicle	NOUN
fcis-31262	39	6	's	's	PART
fcis-31262	39	7	th	th	X
fcis-31262	39	8	trip	trip	NOUN
fcis-31262	39	9	is	be	AUX
fcis-31262	39	10	activated	activate	VERB
fcis-31262	39	11	(	(	PUNCT
fcis-31262	39	12	departure	departure	NOUN
fcis-31262	39	13	)	)	PUNCT
fcis-31262	39	14	,	,	PUNCT
fcis-31262	39	15	then	then	ADV
fcis-31262	39	16	it	it	PRON
fcis-31262	39	17	is	be	AUX
fcis-31262	39	18	1	1	NUM
fcis-31262	39	19	.	.	NOUN
fcis-31262	39	20	0	0	NUM
fcis-31262	39	21	:	:	PUNCT
fcis-31262	39	22	the	the	DET
fcis-31262	39	23	remaining	remain	VERB
fcis-31262	39	24	load	load	NOUN
fcis-31262	39	25	(	(	PUNCT
fcis-31262	39	26	tonnes	tonne	NOUN
fcis-31262	39	27	)	)	PUNCT
fcis-31262	39	28	of	of	ADP
fcis-31262	39	29	vehicle	vehicle	NOUN
fcis-31262	39	30	k	k	PROPN
fcis-31262	39	31	's	's	PART
fcis-31262	39	32	rth	rth	NOUN
fcis-31262	39	33	trip	trip	NOUN
fcis-31262	39	34	at	at	ADP
fcis-31262	39	35	the	the	DET
fcis-31262	39	36	end	end	NOUN
fcis-31262	39	37	of	of	ADP
fcis-31262	39	38	the	the	DET
fcis-31262	39	39	trip	trip	NOUN
fcis-31262	39	40	.	.	PUNCT
fcis-31262	40	1	0	0	X
fcis-31262	40	2	:	:	PUNCT
fcis-31262	40	3	the	the	DET
fcis-31262	40	4	time	time	NOUN
fcis-31262	40	5	(	(	PUNCT
fcis-31262	40	6	hours	hour	NOUN
fcis-31262	40	7	)	)	PUNCT
fcis-31262	40	8	when	when	SCONJ
fcis-31262	40	9	vehicle	vehicle	NOUN
fcis-31262	40	10	's	's	PART
fcis-31262	40	11	th	th	NOUN
fcis-31262	40	12	trip	trip	NOUN
fcis-31262	40	13	arrives	arrive	VERB
fcis-31262	40	14	at	at	ADP
fcis-31262	40	15	its	its	PRON
fcis-31262	40	16	final	final	ADJ
fcis-31262	40	17	service	service	NOUN
fcis-31262	40	18	node	node	NOUN
fcis-31262	40	19	.	.	PUNCT
fcis-31262	41	1	the	the	DET
fcis-31262	41	2	objective	objective	ADJ
fcis-31262	41	3	function	function	NOUN
fcis-31262	41	4	is	be	AUX
fcis-31262	41	5	as	as	SCONJ
fcis-31262	41	6	follows	follow	VERB
fcis-31262	41	7	:	:	PUNCT
fcis-31262	41	8	93	93	NUM
fcis-31262	41	9			NOUN
fcis-31262	41	10			SYM
fcis-31262	41	11			NOUN
fcis-31262	41	12			PROPN
fcis-31262	41	13	,	,	PUNCT
fcis-31262	41	14	,	,	PUNCT
fcis-31262	41	15	min	min	NOUN
fcis-31262	41	16	ij	ij	INTJ
fcis-31262	41	17	ikr	ikr	INTJ
fcis-31262	41	18	ijkr	ijkr	ADV
fcis-31262	42	1	i	i	PRON
fcis-31262	42	2	ij	ij	VERB
fcis-31262	42	3	ijkr	ijkr	ADV
fcis-31262	43	1	k	k	PROPN
fcis-31262	44	1	k	k	NOUN
fcis-31262	45	1	r	r	NOUN
fcis-31262	46	1	r	r	NOUN
fcis-31262	47	1	i	i	PRON
fcis-31262	48	1	v	v	VERB
fcis-31262	48	2	j	j	PROPN
fcis-31262	48	3	v	v	NOUN
fcis-31262	48	4	k	k	NOUN
fcis-31262	49	1	r	r	NOUN
fcis-31262	50	1	i	i	X
fcis-31262	50	2	j	j	PROPN
fcis-31262	51	1	d	d	NOUN
fcis-31262	51	2	t	t	PROPN
fcis-31262	51	3	x	x	X
fcis-31262	51	4	e	e	NOUN
fcis-31262	51	5	w	w	PROPN
fcis-31262	51	6	e	e	PROPN
fcis-31262	51	7	d	d	PROPN
fcis-31262	51	8	x	x	PROPN
fcis-31262	51	9			PROPN
fcis-31262	52	1			NOUN
fcis-31262	52	2			PROPN
fcis-31262	52	3			PROPN
fcis-31262	52	4			PROPN
fcis-31262	52	5			PROPN
fcis-31262	52	6			NOUN
fcis-31262	52	7			PROPN
fcis-31262	52	8			PROPN
fcis-31262	52	9			NOUN
fcis-31262	52	10			X
fcis-31262	52	11	(	(	PUNCT
fcis-31262	52	12	1	1	X
fcis-31262	52	13	)	)	PUNCT
fcis-31262	52	14	first	first	ADJ
fcis-31262	52	15	item	item	NOUN
fcis-31262	52	16	:	:	PUNCT
fcis-31262	52	17	total	total	ADJ
fcis-31262	52	18	mileage	mileage	NOUN
fcis-31262	52	19	of	of	ADP
fcis-31262	52	20	the	the	DET
fcis-31262	52	21	entire	entire	ADJ
fcis-31262	52	22	fleet	fleet	NOUN
fcis-31262	52	23	(	(	PUNCT
fcis-31262	52	24	dynamic	dynamic	ADJ
fcis-31262	52	25	road	road	NOUN
fcis-31262	52	26	conditions	condition	NOUN
fcis-31262	52	27	affected	affect	VERB
fcis-31262	52	28	by	by	ADP
fcis-31262	52	29	time	time	NOUN
fcis-31262	52	30	)	)	PUNCT
fcis-31262	52	31	.	.	PUNCT
fcis-31262	53	1	second	second	ADJ
fcis-31262	53	2	item	item	NOUN
fcis-31262	53	3	:	:	PUNCT
fcis-31262	53	4	carbon	carbon	NOUN
fcis-31262	53	5	emission	emission	NOUN
fcis-31262	53	6	costs	cost	NOUN
fcis-31262	53	7	(	(	PUNCT
fcis-31262	53	8	tonnes	tonne	NOUN
fcis-31262	53	9	/kilometer	/kilometer	NOUN
fcis-31262	53	10	and	and	CCONJ
fcis-31262	53	11	fixed	fix	VERB
fcis-31262	53	12	kilometer	kilometer	NOUN
fcis-31262	53	13	emissions	emission	NOUN
fcis-31262	53	14	combined	combine	VERB
fcis-31262	53	15	)	)	PUNCT
fcis-31262	53	16	,	,	PUNCT
fcis-31262	53	17	where	where	SCONJ
fcis-31262	53	18	is	be	AUX
fcis-31262	53	19	the	the	DET
fcis-31262	53	20	carbon	carbon	NOUN
fcis-31262	53	21	emission	emission	NOUN
fcis-31262	53	22	weighting	weight	VERB
fcis-31262	53	23	coefficient	coefficient	NOUN
fcis-31262	53	24	.	.	PUNCT
fcis-31262	54	1	this	this	DET
fcis-31262	54	2	paper	paper	NOUN
fcis-31262	54	3	then	then	ADV
fcis-31262	54	4	specifies	specify	VERB
fcis-31262	54	5	the	the	DET
fcis-31262	54	6	constraints	constraint	NOUN
fcis-31262	54	7	,	,	PUNCT
fcis-31262	54	8	setting	set	VERB
fcis-31262	54	9	the	the	DET
fcis-31262	54	10	service	service	NOUN
fcis-31262	54	11	to	to	PART
fcis-31262	54	12	cover	cover	VERB
fcis-31262	54	13	each	each	DET
fcis-31262	54	14	collection	collection	NOUN
fcis-31262	54	15	point	point	NOUN
fcis-31262	54	16	0	0	NUM
fcis-31262	54	17	visited	visit	VERB
fcis-31262	54	18	by	by	ADP
fcis-31262	54	19	a	a	DET
fcis-31262	54	20	certain	certain	ADJ
fcis-31262	54	21	vehicle	vehicle	NOUN
fcis-31262	54	22	on	on	ADP
fcis-31262	54	23	a	a	DET
fcis-31262	54	24	certain	certain	ADJ
fcis-31262	54	25	trip	trip	NOUN
fcis-31262	54	26	and	and	CCONJ
fcis-31262	54	27	only	only	ADV
fcis-31262	54	28	visited	visit	VERB
fcis-31262	54	29	once	once	ADV
fcis-31262	54	30	:	:	PUNCT
fcis-31262	54	31	1	1	NUM
fcis-31262	54	32	{	{	PUNCT
fcis-31262	54	33	1	1	NUM
fcis-31262	54	34	,	,	PUNCT
fcis-31262	54	35	,	,	PUNCT
fcis-31262	54	36	}	}	PUNCT
fcis-31262	54	37	.ijkr	.ijkr	NUM
fcis-31262	55	1	k	k	NOUN
fcis-31262	55	2	r	r	NOUN
fcis-31262	55	3	j	j	PROPN
fcis-31262	55	4	x	x	VERB
fcis-31262	55	5	i	i	PRON
fcis-31262	55	6	n	n	VERB
fcis-31262	55	7			NOUN
fcis-31262	55	8			PROPN
fcis-31262	55	9			ADJ
fcis-31262	55	10			NOUN
fcis-31262	55	11			X
fcis-31262	55	12			PROPN
fcis-31262	55	13	(	(	PUNCT
fcis-31262	55	14	2	2	X
fcis-31262	55	15	)	)	PUNCT
fcis-31262	55	16	set	set	VERB
fcis-31262	55	17	vehicle	vehicle	NOUN
fcis-31262	55	18	path	path	NOUN
fcis-31262	55	19	connectivity	connectivity	NOUN
fcis-31262	55	20	,	,	PUNCT
fcis-31262	55	21	set	set	VERB
fcis-31262	55	22	each	each	DET
fcis-31262	55	23	trip	trip	NOUN
fcis-31262	55	24	to	to	PART
fcis-31262	55	25	depart	depart	VERB
fcis-31262	55	26	from	from	ADP
fcis-31262	55	27	factory	factory	NOUN
fcis-31262	55	28	0	0	NUM
fcis-31262	55	29	and	and	CCONJ
fcis-31262	55	30	return	return	VERB
fcis-31262	55	31	to	to	ADP
fcis-31262	55	32	factory	factory	NOUN
fcis-31262	55	33	0	0	NUM
fcis-31262	55	34	:	:	SYM
fcis-31262	55	35	0	0	NUM
fcis-31262	55	36	0	0	NUM
fcis-31262	55	37	,	,	PUNCT
fcis-31262	55	38	jkr	jkr	PROPN
fcis-31262	55	39	ikr	ikr	PROPN
fcis-31262	55	40	j	j	PROPN
fcis-31262	56	1	i	i	PRON
fcis-31262	56	2	kr	kr	PROPN
fcis-31262	57	1	ikr	ikr	INTJ
fcis-31262	57	2	i	i	INTJ
fcis-31262	57	3	x	x	VERB
fcis-31262	57	4	y	y	NOUN
fcis-31262	57	5	k	k	NOUN
fcis-31262	57	6	r	r	NOUN
fcis-31262	57	7	x	x	PUNCT
fcis-31262	57	8	y	y	NOUN
fcis-31262	57	9			PROPN
fcis-31262	57	10			VERB
fcis-31262	57	11			NOUN
fcis-31262	57	12			X
fcis-31262	57	13			X
fcis-31262	57	14	(	(	PUNCT
fcis-31262	57	15	3	3	NUM
fcis-31262	57	16	)	)	PUNCT
fcis-31262	57	17	according	accord	VERB
fcis-31262	57	18	to	to	ADP
fcis-31262	57	19	the	the	DET
fcis-31262	57	20	conservation	conservation	NOUN
fcis-31262	57	21	of	of	ADP
fcis-31262	57	22	flow	flow	NOUN
fcis-31262	57	23	at	at	ADP
fcis-31262	57	24	intermediate	intermediate	ADJ
fcis-31262	57	25	nodes	node	NOUN
fcis-31262	57	26	:	:	PUNCT
fcis-31262	57	27	0	0	NUM
fcis-31262	57	28	,	,	PUNCT
fcis-31262	57	29	,	,	PUNCT
fcis-31262	57	30	.ijkr	.ijkr	PROPN
fcis-31262	57	31	ijkr	ijkr	ADP
fcis-31262	57	32	j	j	PROPN
fcis-31262	57	33	j	j	PROPN
fcis-31262	58	1	x	x	PUNCT
fcis-31262	58	2	x	x	SYM
fcis-31262	58	3	i	i	PRON
fcis-31262	58	4	k	k	NOUN
fcis-31262	58	5	r	r	VERB
fcis-31262	59	1			NOUN
fcis-31262	59	2			X
fcis-31262	59	3			X
fcis-31262	59	4	(	(	PUNCT
fcis-31262	59	5	4	4	X
fcis-31262	59	6	)	)	PUNCT
fcis-31262	59	7	further	far	ADV
fcis-31262	59	8	,	,	PUNCT
fcis-31262	59	9	the	the	DET
fcis-31262	59	10	load	load	NOUN
fcis-31262	59	11	constraint	constraint	NOUN
fcis-31262	59	12	is	be	AUX
fcis-31262	59	13	specified	specify	VERB
fcis-31262	59	14	so	so	SCONJ
fcis-31262	59	15	that	that	SCONJ
fcis-31262	59	16	the	the	DET
fcis-31262	59	17	load	load	NOUN
fcis-31262	59	18	capacity	capacity	NOUN
fcis-31262	59	19	does	do	AUX
fcis-31262	59	20	not	not	PART
fcis-31262	59	21	exceed	exceed	VERB
fcis-31262	59	22	q	q	NOUN
fcis-31262	59	23	at	at	ADP
fcis-31262	59	24	each	each	DET
fcis-31262	59	25	departure	departure	NOUN
fcis-31262	59	26	,	,	PUNCT
fcis-31262	59	27	and	and	CCONJ
fcis-31262	59	28	the	the	DET
fcis-31262	59	29	load	load	NOUN
fcis-31262	59	30	reduction	reduction	NOUN
fcis-31262	59	31	formula	formula	NOUN
fcis-31262	59	32	for	for	ADP
fcis-31262	59	33	each	each	DET
fcis-31262	59	34	segment	segment	NOUN
fcis-31262	59	35	is	be	AUX
fcis-31262	59	36	as	as	SCONJ
fcis-31262	59	37	follows	follow	VERB
fcis-31262	59	38	:	:	PUNCT
fcis-31262	59	39	0	0	NUM
fcis-31262	59	40	,	,	PUNCT
fcis-31262	60	1	ikr	ikr	INTJ
fcis-31262	60	2	i	i	PRON
fcis-31262	61	1	i	i	PRON
fcis-31262	61	2	jkr	jkr	PROPN
fcis-31262	62	1	ji	ji	PROPN
fcis-31262	63	1	ikr	ikr	INTJ
fcis-31262	63	2	ikr	ikr	PROPN
fcis-31262	64	1	l	l	NOUN
fcis-31262	64	2	q	q	PROPN
fcis-31262	64	3	w	w	NOUN
fcis-31262	64	4	x	x	PUNCT
fcis-31262	64	5	l	l	NOUN
fcis-31262	64	6	qy	qy	NOUN
fcis-31262	64	7	k	k	PROPN
fcis-31262	65	1	r	r	PROPN
fcis-31262	65	2			PROPN
fcis-31262	66	1			ADV
fcis-31262	66	2			CCONJ
fcis-31262	66	3			NUM
fcis-31262	66	4			PROPN
fcis-31262	66	5			NOUN
fcis-31262	66	6			NOUN
fcis-31262	66	7			VERB
fcis-31262	66	8			X
fcis-31262	66	9			X
fcis-31262	66	10	(	(	PUNCT
fcis-31262	66	11	5	5	NUM
fcis-31262	66	12	)	)	PUNCT
fcis-31262	66	13	then	then	ADV
fcis-31262	66	14	specify	specify	VERB
fcis-31262	66	15	the	the	DET
fcis-31262	66	16	time	time	NOUN
fcis-31262	66	17	window	window	NOUN
fcis-31262	66	18	and	and	CCONJ
fcis-31262	66	19	total	total	ADJ
fcis-31262	66	20	duration	duration	NOUN
fcis-31262	66	21	.	.	PUNCT
fcis-31262	67	1	set	set	VERB
fcis-31262	67	2	the	the	DET
fcis-31262	67	3	service	service	NOUN
fcis-31262	67	4	time	time	NOUN
fcis-31262	67	5	window	window	NOUN
fcis-31262	67	6	:	:	PUNCT
fcis-31262	67	7	arrival	arrival	NOUN
fcis-31262	67	8	at	at	ADP
fcis-31262	67	9	time	time	NOUN
fcis-31262	67	10	must	must	AUX
fcis-31262	67	11	be	be	AUX
fcis-31262	67	12	within	within	ADP
fcis-31262	67	13	its	its	PRON
fcis-31262	67	14	time	time	NOUN
fcis-31262	67	15	window	window	NOUN
fcis-31262	67	16	(	(	PUNCT
fcis-31262	67	17	for	for	ADP
fcis-31262	67	18	each	each	PRON
fcis-31262	67	19	,	,	PUNCT
fcis-31262	67	20	)	)	PUNCT
fcis-31262	67	21	.	.	PUNCT
fcis-31262	68	1	the	the	DET
fcis-31262	68	2	formula	formula	NOUN
fcis-31262	68	3	is	be	AUX
fcis-31262	68	4	as	as	SCONJ
fcis-31262	68	5	follows	follow	VERB
fcis-31262	68	6	:	:	PUNCT
fcis-31262	68	7			NOUN
fcis-31262	69	1			SYM
fcis-31262	69	2			NOUN
fcis-31262	69	3			SYM
fcis-31262	69	4			NOUN
fcis-31262	69	5			PUNCT
fcis-31262	69	6			NOUN
fcis-31262	69	7			PROPN
fcis-31262	69	8	1	1	NUM
fcis-31262	69	9	,	,	PUNCT
fcis-31262	69	10	1	1	NUM
fcis-31262	69	11	ikr	ikr	INTJ
fcis-31262	69	12	ij	ij	INTJ
fcis-31262	69	13	ikr	ikr	PROPN
fcis-31262	69	14	ijkr	ijkr	ADV
fcis-31262	69	15	j	j	PROPN
fcis-31262	70	1	ikr	ikr	INTJ
fcis-31262	70	2	ij	ij	INTJ
fcis-31262	70	3	ikr	ikr	PROPN
fcis-31262	70	4	ijkr	ijkr	ADP
fcis-31262	70	5	j	j	PROPN
fcis-31262	70	6	t	t	PROPN
fcis-31262	70	7	t	t	PROPN
fcis-31262	70	8	m	m	VERB
fcis-31262	70	9	x	x	PROPN
fcis-31262	71	1	b	b	PROPN
fcis-31262	71	2	t	t	NOUN
fcis-31262	71	3	t	t	PROPN
fcis-31262	71	4	m	m	VERB
fcis-31262	71	5	x	x	NOUN
fcis-31262	71	6	a	a	DET
fcis-31262	71	7			NOUN
fcis-31262	71	8			NOUN
fcis-31262	71	9			ADV
fcis-31262	71	10			PROPN
fcis-31262	71	11			PROPN
fcis-31262	71	12			NOUN
fcis-31262	71	13			ADV
fcis-31262	71	14			PUNCT
fcis-31262	71	15			PROPN
fcis-31262	71	16			NUM
fcis-31262	71	17	(	(	PUNCT
fcis-31262	71	18	6	6	NUM
fcis-31262	71	19	)	)	PUNCT
fcis-31262	71	20	where	where	SCONJ
fcis-31262	71	21	,	,	PUNCT
fcis-31262	71	22	is	be	AUX
fcis-31262	71	23	a	a	DET
fcis-31262	71	24	large	large	ADJ
fcis-31262	71	25	constant	constant	ADJ
fcis-31262	71	26	.	.	PUNCT
fcis-31262	72	1	next	next	ADV
fcis-31262	72	2	,	,	PUNCT
fcis-31262	72	3	calculate	calculate	VERB
fcis-31262	72	4	the	the	DET
fcis-31262	72	5	total	total	ADJ
fcis-31262	72	6	daily	daily	ADJ
fcis-31262	72	7	duration	duration	NOUN
fcis-31262	72	8	for	for	ADP
fcis-31262	72	9	each	each	DET
fcis-31262	72	10	vehicle	vehicle	NOUN
fcis-31262	72	11	:	:	PUNCT
fcis-31262	72	12			PROPN
fcis-31262	72	13			PROPN
fcis-31262	72	14	max	max	NOUN
fcis-31262	72	15	,	,	PUNCT
fcis-31262	72	16	.ikr	.ikr	PROPN
fcis-31262	73	1	ij	ij	INTJ
fcis-31262	73	2	ikr	ikr	INTJ
fcis-31262	74	1	ijkr	ijkr	ADP
fcis-31262	74	2	r	r	NOUN
fcis-31262	75	1	i	i	PRON
fcis-31262	75	2	j	j	PROPN
fcis-31262	76	1	t	t	PROPN
fcis-31262	76	2	t	t	PROPN
fcis-31262	76	3	x	x	SYM
fcis-31262	76	4	t	t	PROPN
fcis-31262	76	5			NOUN
fcis-31262	76	6			PROPN
fcis-31262	76	7			ADJ
fcis-31262	76	8			NUM
fcis-31262	76	9			PROPN
fcis-31262	77	1			ADJ
fcis-31262	77	2			NOUN
fcis-31262	77	3			X
fcis-31262	77	4			X
fcis-31262	77	5	(	(	PUNCT
fcis-31262	77	6	7	7	X
fcis-31262	77	7	)	)	PUNCT
fcis-31262	77	8	finally	finally	ADV
fcis-31262	77	9	,	,	PUNCT
fcis-31262	77	10	set	set	VERB
fcis-31262	77	11	the	the	DET
fcis-31262	77	12	trip	trip	NOUN
fcis-31262	77	13	activation	activation	NOUN
fcis-31262	77	14	constraint	constraint	NOUN
fcis-31262	77	15	.	.	PUNCT
fcis-31262	78	1	if	if	SCONJ
fcis-31262	78	2	trip	trip	NOUN
fcis-31262	78	3	1	1	NUM
fcis-31262	78	4	is	be	AUX
fcis-31262	78	5	activated	activate	VERB
fcis-31262	78	6	,	,	PUNCT
fcis-31262	78	7	then	then	ADV
fcis-31262	78	8	trip	trip	NOUN
fcis-31262	78	9	must	must	AUX
fcis-31262	78	10	also	also	ADV
fcis-31262	78	11	be	be	AUX
fcis-31262	78	12	activated	activate	VERB
fcis-31262	78	13	.	.	PUNCT
fcis-31262	79	1	the	the	DET
fcis-31262	79	2	formula	formula	NOUN
fcis-31262	79	3	is	be	AUX
fcis-31262	79	4	as	as	SCONJ
fcis-31262	79	5	follows	follow	VERB
fcis-31262	79	6	:	:	PUNCT
fcis-31262	79	7	,	,	PUNCT
fcis-31262	79	8	1	1	NUM
fcis-31262	79	9	,	,	PUNCT
fcis-31262	79	10	1	1	NUM
fcis-31262	79	11	,	,	PUNCT
fcis-31262	79	12	,	,	PUNCT
fcis-31262	79	13	1.k	1.k	NUM
fcis-31262	79	14	r	r	NOUN
fcis-31262	79	15	kry	kry	PROPN
fcis-31262	79	16	y	y	PROPN
fcis-31262	79	17	k	k	PROPN
fcis-31262	79	18	r	r	PROPN
fcis-31262	79	19	r	r	PROPN
fcis-31262	79	20			NOUN
fcis-31262	79	21			VERB
fcis-31262	79	22			PROPN
fcis-31262	79	23			NOUN
fcis-31262	79	24			PROPN
fcis-31262	79	25	(	(	PUNCT
fcis-31262	79	26	8)	8)	NUM
fcis-31262	79	27	based	base	VERB
fcis-31262	79	28	on	on	ADP
fcis-31262	79	29	the	the	DET
fcis-31262	79	30	hypothetical	hypothetical	ADJ
fcis-31262	79	31	data	datum	NOUN
fcis-31262	79	32	input	input	NOUN
fcis-31262	79	33	into	into	ADP
fcis-31262	79	34	the	the	DET
fcis-31262	79	35	established	establish	VERB
fcis-31262	79	36	model	model	NOUN
fcis-31262	79	37	,	,	PUNCT
fcis-31262	79	38	our	our	PRON
fcis-31262	79	39	team	team	NOUN
fcis-31262	79	40	determined	determine	VERB
fcis-31262	79	41	that	that	SCONJ
fcis-31262	79	42	,	,	PUNCT
fcis-31262	79	43	under	under	ADP
fcis-31262	79	44	the	the	DET
fcis-31262	79	45	conditions	condition	NOUN
fcis-31262	79	46	of	of	ADP
fcis-31262	79	47	a	a	DET
fcis-31262	79	48	single	single	ADJ
fcis-31262	79	49	vehicle	vehicle	NOUN
fcis-31262	79	50	type	type	NOUN
fcis-31262	79	51	and	and	CCONJ
fcis-31262	79	52	minimised	minimised	ADJ
fcis-31262	79	53	transport	transport	NOUN
fcis-31262	79	54	distance	distance	NOUN
fcis-31262	79	55	,	,	PUNCT
fcis-31262	79	56	the	the	DET
fcis-31262	79	57	optimal	optimal	ADJ
fcis-31262	79	58	number	number	NOUN
fcis-31262	79	59	of	of	ADP
fcis-31262	79	60	garbage	garbage	NOUN
fcis-31262	79	61	trucks	truck	NOUN
fcis-31262	79	62	is	be	AUX
fcis-31262	79	63	three	three	NUM
fcis-31262	79	64	.	.	PUNCT
fcis-31262	80	1	the	the	DET
fcis-31262	80	2	first	first	ADJ
fcis-31262	80	3	truck	truck	NOUN
fcis-31262	80	4	has	have	VERB
fcis-31262	80	5	a	a	DET
fcis-31262	80	6	maximum	maximum	ADJ
fcis-31262	80	7	load	load	NOUN
fcis-31262	80	8	capacity	capacity	NOUN
fcis-31262	80	9	of	of	ADP
fcis-31262	80	10	15	15	NUM
fcis-31262	80	11	tonnes	tonne	NOUN
fcis-31262	80	12	,	,	PUNCT
fcis-31262	80	13	with	with	ADP
fcis-31262	80	14	a	a	DET
fcis-31262	80	15	transport	transport	NOUN
fcis-31262	80	16	route	route	NOUN
fcis-31262	80	17	of	of	ADP
fcis-31262	80	18	[	[	PUNCT
fcis-31262	80	19	1	1	NUM
fcis-31262	80	20	2	2	NUM
fcis-31262	80	21	3	3	NUM
fcis-31262	80	22	4	4	NUM
fcis-31262	80	23	5	5	NUM
fcis-31262	80	24	6	6	NUM
fcis-31262	80	25	1	1	NUM
fcis-31262	80	26	]	]	PUNCT
fcis-31262	80	27	and	and	CCONJ
fcis-31262	80	28	a	a	DET
fcis-31262	80	29	transport	transport	NOUN
fcis-31262	80	30	distance	distance	NOUN
fcis-31262	80	31	of	of	ADP
fcis-31262	80	32	80	80	NUM
fcis-31262	80	33	kilometers	kilometer	NOUN
fcis-31262	80	34	;	;	PUNCT
fcis-31262	80	35	the	the	DET
fcis-31262	80	36	second	second	ADJ
fcis-31262	80	37	truck	truck	NOUN
fcis-31262	80	38	has	have	VERB
fcis-31262	80	39	a	a	DET
fcis-31262	80	40	maximum	maximum	ADJ
fcis-31262	80	41	load	load	NOUN
fcis-31262	80	42	capacity	capacity	NOUN
fcis-31262	80	43	of	of	ADP
fcis-31262	80	44	15	15	NUM
fcis-31262	80	45	tonnes	tonne	NOUN
fcis-31262	80	46	,	,	PUNCT
fcis-31262	80	47	with	with	ADP
fcis-31262	80	48	a	a	DET
fcis-31262	80	49	transport	transport	NOUN
fcis-31262	80	50	route	route	NOUN
fcis-31262	80	51	of	of	ADP
fcis-31262	80	52	[	[	X
fcis-31262	80	53	1	1	NUM
fcis-31262	80	54	7	7	NUM
fcis-31262	80	55	8	8	NUM
fcis-31262	80	56	9	9	NUM
fcis-31262	80	57	10	10	NUM
fcis-31262	80	58	1	1	NUM
fcis-31262	80	59	]	]	PUNCT
fcis-31262	80	60	and	and	CCONJ
fcis-31262	80	61	a	a	DET
fcis-31262	80	62	transport	transport	NOUN
fcis-31262	80	63	distance	distance	NOUN
fcis-31262	80	64	of	of	ADP
fcis-31262	80	65	115	115	NUM
fcis-31262	80	66	kilometers	kilometer	NOUN
fcis-31262	80	67	;	;	PUNCT
fcis-31262	80	68	the	the	DET
fcis-31262	80	69	second	second	ADJ
fcis-31262	80	70	vehicle	vehicle	NOUN
fcis-31262	80	71	has	have	VERB
fcis-31262	80	72	a	a	DET
fcis-31262	80	73	maximum	maximum	ADJ
fcis-31262	80	74	load	load	NOUN
fcis-31262	80	75	capacity	capacity	NOUN
fcis-31262	80	76	of	of	ADP
fcis-31262	80	77	5	5	NUM
fcis-31262	80	78	tonnes	tonne	NOUN
fcis-31262	80	79	,	,	PUNCT
fcis-31262	80	80	with	with	ADP
fcis-31262	80	81	a	a	DET
fcis-31262	80	82	transport	transport	NOUN
fcis-31262	80	83	route	route	NOUN
fcis-31262	80	84	of	of	ADP
fcis-31262	80	85	[	[	PUNCT
fcis-31262	80	86	1	1	NUM
fcis-31262	80	87	11	11	NUM
fcis-31262	80	88	1	1	NUM
fcis-31262	80	89	]	]	PUNCT
fcis-31262	80	90	and	and	CCONJ
fcis-31262	80	91	a	a	DET
fcis-31262	80	92	transport	transport	NOUN
fcis-31262	80	93	distance	distance	NOUN
fcis-31262	80	94	of	of	ADP
fcis-31262	80	95	110	110	NUM
fcis-31262	80	96	kilometers	kilometer	NOUN
fcis-31262	80	97	.	.	PUNCT
fcis-31262	81	1	the	the	DET
fcis-31262	81	2	minimum	minimum	ADJ
fcis-31262	81	3	total	total	ADJ
fcis-31262	81	4	transport	transport	NOUN
fcis-31262	81	5	distance	distance	NOUN
fcis-31262	81	6	for	for	ADP
fcis-31262	81	7	the	the	DET
fcis-31262	81	8	three	three	NUM
fcis-31262	81	9	vehicles	vehicle	NOUN
fcis-31262	81	10	per	per	ADP
fcis-31262	81	11	day	day	NOUN
fcis-31262	81	12	is	be	AUX
fcis-31262	81	13	305	305	NUM
fcis-31262	81	14	kilometers	kilometer	NOUN
fcis-31262	81	15	.	.	PUNCT
fcis-31262	82	1	2.2	2.2	NUM
fcis-31262	82	2	.	.	PUNCT
fcis-31262	83	1	case	case	NOUN
fcis-31262	83	2	verification	verification	NOUN
fcis-31262	83	3	and	and	CCONJ
fcis-31262	83	4	analysis	analysis	NOUN
fcis-31262	83	5	at	at	ADP
fcis-31262	83	6	30	30	NUM
fcis-31262	83	7	collection	collection	NOUN
fcis-31262	83	8	points	point	NOUN
fcis-31262	83	9	,	,	PUNCT
fcis-31262	83	10	under	under	ADP
fcis-31262	83	11	the	the	DET
fcis-31262	83	12	condition	condition	NOUN
fcis-31262	83	13	of	of	ADP
fcis-31262	83	14	5	5	NUM
fcis-31262	83	15	tonnes	tonne	NOUN
fcis-31262	83	16	,	,	PUNCT
fcis-31262	83	17	the	the	DET
fcis-31262	83	18	variables	variable	NOUN
fcis-31262	83	19	in	in	ADP
fcis-31262	83	20	this	this	DET
fcis-31262	83	21	paper	paper	NOUN
fcis-31262	83	22	are	be	AUX
fcis-31262	83	23	defined	define	VERB
fcis-31262	83	24	as	as	SCONJ
fcis-31262	83	25	follows	follow	VERB
fcis-31262	83	26	:	:	PUNCT
fcis-31262	83	27	the	the	DET
fcis-31262	83	28	coordinates	coordinate	NOUN
fcis-31262	83	29	of	of	ADP
fcis-31262	83	30	the	the	DET
fcis-31262	83	31	30	30	NUM
fcis-31262	83	32	collection	collection	NOUN
fcis-31262	83	33	points	point	NOUN
fcis-31262	83	34	are	be	AUX
fcis-31262	83	35	set	set	VERB
fcis-31262	83	36	as	as	ADP
fcis-31262	83	37	₁	₁	NUM
fcis-31262	83	38	,	,	PUNCT
fcis-31262	83	39	₂	₂	NUM
fcis-31262	83	40	,	,	PUNCT
fcis-31262	83	41	…	…	PUNCT
fcis-31262	83	42	,	,	PUNCT
fcis-31262	83	43	₃₀	₃₀	NUM
fcis-31262	83	44	,	,	PUNCT
fcis-31262	83	45	and	and	CCONJ
fcis-31262	83	46	a	a	DET
fcis-31262	83	47	binary	binary	ADJ
fcis-31262	83	48	decision	decision	NOUN
fcis-31262	83	49	variable	variable	NOUN
fcis-31262	83	50	is	be	AUX
fcis-31262	83	51	set	set	VERB
fcis-31262	83	52	such	such	ADJ
fcis-31262	83	53	that	that	SCONJ
fcis-31262	83	54	if	if	SCONJ
fcis-31262	83	55	the	the	DET
fcis-31262	83	56	vehicle	vehicle	NOUN
fcis-31262	83	57	moves	move	VERB
fcis-31262	83	58	from	from	ADP
fcis-31262	83	59	point	point	NOUN
fcis-31262	83	60	to	to	PART
fcis-31262	83	61	point	point	NOUN
fcis-31262	83	62	,	,	PUNCT
fcis-31262	83	63	then	then	ADV
fcis-31262	83	64	1	1	NUM
fcis-31262	83	65	;	;	PUNCT
fcis-31262	83	66	otherwise	otherwise	ADV
fcis-31262	83	67	,	,	PUNCT
fcis-31262	83	68	0	0	X
fcis-31262	83	69	.	.	PUNCT
fcis-31262	84	1	the	the	DET
fcis-31262	84	2	objective	objective	ADJ
fcis-31262	84	3	function	function	NOUN
fcis-31262	84	4	,	,	PUNCT
fcis-31262	84	5	which	which	PRON
fcis-31262	84	6	aims	aim	VERB
fcis-31262	84	7	to	to	PART
fcis-31262	84	8	minimise	minimise	VERB
fcis-31262	84	9	the	the	DET
fcis-31262	84	10	total	total	ADJ
fcis-31262	84	11	distance	distance	NOUN
fcis-31262	84	12	or	or	CCONJ
fcis-31262	84	13	time	time	NOUN
fcis-31262	84	14	,	,	PUNCT
fcis-31262	84	15	can	can	AUX
fcis-31262	84	16	be	be	AUX
fcis-31262	84	17	defined	define	VERB
fcis-31262	84	18	as	as	SCONJ
fcis-31262	84	19	follows	follow	VERB
fcis-31262	84	20	:	:	PUNCT
fcis-31262	84	21	30	30	NUM
fcis-31262	84	22	30	30	NUM
fcis-31262	84	23	1	1	NUM
fcis-31262	84	24	1	1	NUM
fcis-31262	84	25	,	,	PUNCT
fcis-31262	84	26	minimize	minimize	VERB
fcis-31262	84	27	ij	ij	INTJ
fcis-31262	84	28	ij	ij	INTJ
fcis-31262	85	1	i	i	PRON
fcis-31262	85	2	j	j	PROPN
fcis-31262	86	1	j	j	NOUN
fcis-31262	87	1	i	i	PRON
fcis-31262	87	2	z	z	VERB
fcis-31262	88	1	d	d	NOUN
fcis-31262	88	2	x	x	X
fcis-31262	89	1			NOUN
fcis-31262	89	2			NUM
fcis-31262	89	3			NOUN
fcis-31262	89	4			VERB
fcis-31262	89	5			X
fcis-31262	89	6			X
fcis-31262	89	7	(	(	PUNCT
fcis-31262	89	8	9	9	NUM
fcis-31262	89	9	)	)	PUNCT
fcis-31262	89	10	where	where	SCONJ
fcis-31262	89	11	is	be	AUX
fcis-31262	89	12	the	the	DET
fcis-31262	89	13	distance	distance	NOUN
fcis-31262	89	14	from	from	ADP
fcis-31262	89	15	point	point	NOUN
fcis-31262	89	16	to	to	PART
fcis-31262	89	17	point	point	NOUN
fcis-31262	89	18	.	.	PUNCT
fcis-31262	90	1	set	set	VERB
fcis-31262	90	2	the	the	DET
fcis-31262	90	3	constraint	constraint	NOUN
fcis-31262	90	4	that	that	PRON
fcis-31262	90	5	each	each	DET
fcis-31262	90	6	collection	collection	NOUN
fcis-31262	90	7	point	point	NOUN
fcis-31262	90	8	is	be	AUX
fcis-31262	90	9	visited	visit	VERB
fcis-31262	90	10	once	once	ADV
fcis-31262	90	11	and	and	CCONJ
fcis-31262	90	12	only	only	ADV
fcis-31262	90	13	once	once	ADV
fcis-31262	90	14	as	as	SCONJ
fcis-31262	90	15	follows	follow	VERB
fcis-31262	90	16	:	:	PUNCT
fcis-31262	90	17	30	30	NUM
fcis-31262	90	18	1	1	NUM
fcis-31262	90	19	30	30	NUM
fcis-31262	90	20	1	1	NUM
fcis-31262	90	21	1	1	NUM
fcis-31262	90	22	1,2	1,2	NUM
fcis-31262	90	23	,	,	PUNCT
fcis-31262	90	24	,	,	PUNCT
fcis-31262	90	25	30	30	NUM
fcis-31262	90	26	1	1	NUM
fcis-31262	90	27	1,2	1,2	NUM
fcis-31262	90	28	,	,	PUNCT
fcis-31262	90	29	,	,	PUNCT
fcis-31262	91	1	30	30	NUM
fcis-31262	91	2	ij	ij	INTJ
fcis-31262	92	1	i	i	PRON
fcis-31262	92	2	ij	ij	INTJ
fcis-31262	92	3	j	j	PROPN
fcis-31262	92	4	x	x	PUNCT
fcis-31262	92	5	for	for	ADP
fcis-31262	92	6	all	all	DET
fcis-31262	92	7	j	j	PROPN
fcis-31262	92	8	x	x	PUNCT
fcis-31262	92	9	for	for	ADP
fcis-31262	92	10	all	all	PRON
fcis-31262	93	1	i	i	PRON
fcis-31262	93	2			VERB
fcis-31262	94	1			VERB
fcis-31262	95	1			PRON
fcis-31262	95	2			NUM
fcis-31262	96	1			NOUN
fcis-31262	96	2			NOUN
fcis-31262	97	1			PROPN
fcis-31262	97	2			PROPN
fcis-31262	97	3			X
fcis-31262	97	4			X
fcis-31262	97	5	(	(	PUNCT
fcis-31262	97	6	10	10	NUM
fcis-31262	97	7	)	)	PUNCT
fcis-31262	97	8	the	the	DET
fcis-31262	97	9	formula	formula	NOUN
fcis-31262	97	10	for	for	ADP
fcis-31262	97	11	avoiding	avoid	VERB
fcis-31262	97	12	subloop	subloop	NOUN
fcis-31262	97	13	constraints	constraint	NOUN
fcis-31262	97	14	(	(	PUNCT
fcis-31262	97	15	preventing	prevent	VERB
fcis-31262	97	16	multiple	multiple	ADJ
fcis-31262	97	17	independent	independent	ADJ
fcis-31262	97	18	loops	loop	NOUN
fcis-31262	97	19	)	)	PUNCT
fcis-31262	97	20	is	be	AUX
fcis-31262	97	21	as	as	SCONJ
fcis-31262	97	22	follows	follow	VERB
fcis-31262	97	23	:	:	PUNCT
fcis-31262	97	24	(	(	PUNCT
fcis-31262	97	25	1	1	X
fcis-31262	97	26	)	)	SYM
fcis-31262	97	27	2	2	NUM
fcis-31262	98	1	i	i	PRON
fcis-31262	98	2	j	j	PROPN
fcis-31262	98	3	iju	iju	NUM
fcis-31262	98	4	u	u	PROPN
fcis-31262	98	5	n	n	PROPN
fcis-31262	98	6	x	x	PROPN
fcis-31262	98	7	n	n	PROPN
fcis-31262	98	8	for	for	ADP
fcis-31262	98	9	all	all	PRON
fcis-31262	98	10	i	i	PRON
fcis-31262	98	11	j	j	VERB
fcis-31262	98	12			VERB
fcis-31262	98	13			PROPN
fcis-31262	98	14			NOUN
fcis-31262	98	15			PROPN
fcis-31262	98	16			PROPN
fcis-31262	98	17	(	(	PUNCT
fcis-31262	98	18	11	11	NUM
fcis-31262	98	19	)	)	PUNCT
fcis-31262	98	20	where	where	SCONJ
fcis-31262	98	21	is	be	AUX
fcis-31262	98	22	the	the	DET
fcis-31262	98	23	access	access	NOUN
fcis-31262	98	24	order	order	NOUN
fcis-31262	98	25	at	at	ADP
fcis-31262	98	26	point	point	NOUN
fcis-31262	98	27	.	.	PUNCT
fcis-31262	99	1	further	further	ADJ
fcis-31262	99	2	consideration	consideration	NOUN
fcis-31262	99	3	:	:	PUNCT
fcis-31262	99	4	if	if	SCONJ
fcis-31262	99	5	the	the	DET
fcis-31262	99	6	problem	problem	NOUN
fcis-31262	99	7	requires	require	VERB
fcis-31262	99	8	consideration	consideration	NOUN
fcis-31262	99	9	of	of	ADP
fcis-31262	99	10	waste	waste	NOUN
fcis-31262	99	11	production	production	NOUN
fcis-31262	99	12	(	(	PUNCT
fcis-31262	99	13	5	5	NUM
fcis-31262	99	14	)	)	PUNCT
fcis-31262	99	15	,	,	PUNCT
fcis-31262	99	16	constraints	constraint	NOUN
fcis-31262	99	17	related	relate	VERB
fcis-31262	99	18	to	to	PART
fcis-31262	99	19	waste	waste	NOUN
fcis-31262	99	20	volume	volume	NOUN
fcis-31262	99	21	can	can	AUX
fcis-31262	99	22	be	be	AUX
fcis-31262	99	23	added	add	VERB
fcis-31262	99	24	to	to	ADP
fcis-31262	99	25	the	the	DET
fcis-31262	99	26	model	model	NOUN
fcis-31262	99	27	to	to	PART
fcis-31262	99	28	ensure	ensure	VERB
fcis-31262	99	29	that	that	SCONJ
fcis-31262	99	30	the	the	DET
fcis-31262	99	31	waste	waste	NOUN
fcis-31262	99	32	collection	collection	NOUN
fcis-31262	99	33	volume	volume	NOUN
fcis-31262	99	34	at	at	ADP
fcis-31262	99	35	each	each	DET
fcis-31262	99	36	point	point	NOUN
fcis-31262	99	37	remains	remain	VERB
fcis-31262	99	38	within	within	ADP
fcis-31262	99	39	a	a	DET
fcis-31262	99	40	reasonable	reasonable	ADJ
fcis-31262	99	41	range	range	NOUN
fcis-31262	99	42	.	.	PUNCT
fcis-31262	100	1	using	use	VERB
fcis-31262	100	2	a	a	DET
fcis-31262	100	3	matrix	matrix	NOUN
fcis-31262	100	4	representation	representation	NOUN
fcis-31262	100	5	,	,	PUNCT
fcis-31262	100	6	the	the	DET
fcis-31262	100	7	problem	problem	NOUN
fcis-31262	100	8	can	can	AUX
fcis-31262	100	9	be	be	AUX
fcis-31262	100	10	modelled	model	VERB
fcis-31262	100	11	as	as	ADP
fcis-31262	100	12	a	a	DET
fcis-31262	100	13	matrix	matrix	NOUN
fcis-31262	100	14	form	form	NOUN
fcis-31262	100	15	,	,	PUNCT
fcis-31262	100	16	where	where	SCONJ
fcis-31262	100	17	the	the	DET
fcis-31262	100	18	distance	distance	NOUN
fcis-31262	100	19	matrix	matrix	NOUN
fcis-31262	100	20	d	d	NOUN
fcis-31262	100	21	is	be	AUX
fcis-31262	100	22	a	a	DET
fcis-31262	100	23	30×30	30×30	NUM
fcis-31262	100	24	matrix	matrix	NOUN
fcis-31262	100	25	containing	contain	VERB
fcis-31262	100	26	the	the	DET
fcis-31262	100	27	distances	distance	NOUN
fcis-31262	100	28	between	between	ADP
fcis-31262	100	29	all	all	DET
fcis-31262	100	30	points	point	NOUN
fcis-31262	100	31	.	.	PUNCT
fcis-31262	101	1	the	the	DET
fcis-31262	101	2	decision	decision	NOUN
fcis-31262	101	3	variable	variable	ADJ
fcis-31262	101	4	matrix	matrix	NOUN
fcis-31262	101	5	is	be	AUX
fcis-31262	101	6	a	a	DET
fcis-31262	101	7	30×30	30×30	NUM
fcis-31262	101	8	binary	binary	ADJ
fcis-31262	101	9	matrix	matrix	NOUN
fcis-31262	101	10	representing	represent	VERB
fcis-31262	101	11	whether	whether	SCONJ
fcis-31262	101	12	there	there	PRON
fcis-31262	101	13	is	be	VERB
fcis-31262	101	14	a	a	DET
fcis-31262	101	15	path	path	NOUN
fcis-31262	101	16	from	from	ADP
fcis-31262	101	17	one	one	NUM
fcis-31262	101	18	point	point	NOUN
fcis-31262	101	19	to	to	ADP
fcis-31262	101	20	another	another	PRON
fcis-31262	101	21	.	.	PUNCT
fcis-31262	102	1	11	11	NUM
fcis-31262	102	2	12	12	NUM
fcis-31262	102	3	1,30	1,30	NUM
fcis-31262	102	4	21	21	NUM
fcis-31262	102	5	22	22	NUM
fcis-31262	102	6	2,30	2,30	NUM
fcis-31262	102	7	30,1	30,1	NUM
fcis-31262	102	8	30,2	30,2	NUM
fcis-31262	103	1	30,30	30,30	NUM
fcis-31262	104	1	d	d	NOUN
fcis-31262	104	2	d	d	PROPN
fcis-31262	104	3	d	d	PROPN
fcis-31262	104	4	d	d	PROPN
fcis-31262	104	5	d	d	PROPN
fcis-31262	104	6	d	d	PROPN
fcis-31262	104	7	d	d	PROPN
fcis-31262	104	8	d	d	PROPN
fcis-31262	104	9	d	d	PROPN
fcis-31262	104	10	d	d	X
fcis-31262	104	11			ADJ
fcis-31262	104	12			NOUN
fcis-31262	104	13			NOUN
fcis-31262	104	14			X
fcis-31262	104	15			NUM
fcis-31262	104	16			NOUN
fcis-31262	104	17			NOUN
fcis-31262	104	18			NOUN
fcis-31262	104	19			PROPN
fcis-31262	104	20			PROPN
fcis-31262	104	21			VERB
fcis-31262	104	22			PROPN
fcis-31262	104	23			PROPN
fcis-31262	104	24			PROPN
fcis-31262	104	25	(	(	PUNCT
fcis-31262	104	26	12	12	NUM
fcis-31262	104	27	)	)	PUNCT
fcis-31262	104	28	decision	decision	NOUN
fcis-31262	104	29	variable	variable	ADJ
fcis-31262	104	30	matrix	matrix	NOUN
fcis-31262	104	31	:	:	PUNCT
fcis-31262	104	32	11	11	NUM
fcis-31262	104	33	12	12	NUM
fcis-31262	104	34	1,30	1,30	NUM
fcis-31262	104	35	21	21	NUM
fcis-31262	104	36	22	22	NUM
fcis-31262	104	37	2,30	2,30	NUM
fcis-31262	104	38	30,1	30,1	NUM
fcis-31262	104	39	30,2	30,2	NUM
fcis-31262	104	40	30,30	30,30	NUM
fcis-31262	104	41	x	x	NOUN
fcis-31262	104	42	x	x	PUNCT
fcis-31262	104	43	x	x	PUNCT
fcis-31262	104	44	x	x	PUNCT
fcis-31262	104	45	x	x	PUNCT
fcis-31262	104	46	x	x	PUNCT
fcis-31262	104	47	x	x	PUNCT
fcis-31262	104	48	x	x	SYM
fcis-31262	104	49	x	x	X
fcis-31262	104	50	x	x	SYM
fcis-31262	104	51			ADJ
fcis-31262	104	52			NOUN
fcis-31262	104	53			NOUN
fcis-31262	104	54			X
fcis-31262	104	55			NUM
fcis-31262	104	56			NOUN
fcis-31262	104	57			NOUN
fcis-31262	104	58			NOUN
fcis-31262	104	59			PROPN
fcis-31262	104	60			PROPN
fcis-31262	104	61			VERB
fcis-31262	104	62			PROPN
fcis-31262	104	63			PROPN
fcis-31262	104	64			PROPN
fcis-31262	104	65	(	(	PUNCT
fcis-31262	104	66	13	13	NUM
fcis-31262	104	67	)	)	PUNCT
fcis-31262	104	68	94	94	NUM
fcis-31262	105	1	the	the	DET
fcis-31262	105	2	model	model	NOUN
fcis-31262	105	3	results	result	NOUN
fcis-31262	105	4	indicate	indicate	VERB
fcis-31262	105	5	that	that	SCONJ
fcis-31262	105	6	under	under	ADP
fcis-31262	105	7	the	the	DET
fcis-31262	105	8	conditions	condition	NOUN
fcis-31262	105	9	of	of	ADP
fcis-31262	105	10	30	30	NUM
fcis-31262	105	11	collection	collection	NOUN
fcis-31262	105	12	points	point	NOUN
fcis-31262	105	13	and	and	CCONJ
fcis-31262	105	14	5	5	NUM
fcis-31262	105	15	tonnes	tonne	NOUN
fcis-31262	105	16	,	,	PUNCT
fcis-31262	105	17	the	the	DET
fcis-31262	105	18	optimal	optimal	ADJ
fcis-31262	105	19	total	total	ADJ
fcis-31262	105	20	transport	transport	NOUN
fcis-31262	105	21	distance	distance	NOUN
fcis-31262	105	22	for	for	ADP
fcis-31262	105	23	a	a	DET
fcis-31262	105	24	single	single	ADJ
fcis-31262	105	25	vehicle	vehicle	NOUN
fcis-31262	105	26	type	type	NOUN
fcis-31262	105	27	in	in	ADP
fcis-31262	105	28	a	a	DET
fcis-31262	105	29	day	day	NOUN
fcis-31262	105	30	is	be	AUX
fcis-31262	105	31	198.3451	198.3451	NUM
fcis-31262	105	32	kilometres	kilometre	NOUN
fcis-31262	105	33	.	.	PUNCT
fcis-31262	106	1	in	in	ADP
fcis-31262	106	2	order	order	NOUN
fcis-31262	106	3	to	to	PART
fcis-31262	106	4	more	more	ADV
fcis-31262	106	5	intuitively	intuitively	ADV
fcis-31262	106	6	illustrate	illustrate	VERB
fcis-31262	106	7	the	the	DET
fcis-31262	106	8	transport	transport	NOUN
fcis-31262	106	9	routes	route	NOUN
fcis-31262	106	10	for	for	ADP
fcis-31262	106	11	the	the	DET
fcis-31262	106	12	30	30	NUM
fcis-31262	106	13	waste	waste	NOUN
fcis-31262	106	14	collection	collection	NOUN
fcis-31262	106	15	points	point	NOUN
fcis-31262	106	16	,	,	PUNCT
fcis-31262	106	17	our	our	PRON
fcis-31262	106	18	team	team	NOUN
fcis-31262	106	19	used	use	VERB
fcis-31262	106	20	a	a	DET
fcis-31262	106	21	greedy	greedy	ADJ
fcis-31262	106	22	algorithm	algorithm	NOUN
fcis-31262	106	23	to	to	PART
fcis-31262	106	24	visualise	visualise	VERB
fcis-31262	106	25	the	the	DET
fcis-31262	106	26	routes	route	NOUN
fcis-31262	106	27	,	,	PUNCT
fcis-31262	106	28	as	as	SCONJ
fcis-31262	106	29	shown	show	VERB
fcis-31262	106	30	in	in	ADP
fcis-31262	106	31	figure	figure	NOUN
fcis-31262	106	32	1	1	NUM
fcis-31262	106	33	:	:	PUNCT
fcis-31262	106	34	figure	figure	NOUN
fcis-31262	106	35	1	1	NUM
fcis-31262	106	36	.	.	PUNCT
fcis-31262	106	37	optimal	optimal	ADJ
fcis-31262	106	38	waste	waste	NOUN
fcis-31262	106	39	sorting	sort	VERB
fcis-31262	106	40	transportation	transportation	NOUN
fcis-31262	106	41	route	route	NOUN
fcis-31262	106	42	map	map	NOUN
fcis-31262	106	43	3	3	NUM
fcis-31262	106	44	.	.	PUNCT
fcis-31262	106	45	optimisation	optimisation	NOUN
fcis-31262	106	46	under	under	ADP
fcis-31262	106	47	multi	multi	ADJ
fcis-31262	106	48	-	-	ADJ
fcis-31262	106	49	vehicle	vehicle	NOUN
fcis-31262	106	50	collaboration	collaboration	NOUN
fcis-31262	106	51	and	and	CCONJ
fcis-31262	106	52	load	load	NOUN
fcis-31262	106	53	constraints	constraint	NOUN
fcis-31262	106	54	3.1	3.1	NUM
fcis-31262	106	55	.	.	PUNCT
fcis-31262	106	56	model	model	NOUN
fcis-31262	106	57	establishment	establishment	NOUN
fcis-31262	106	58	and	and	CCONJ
fcis-31262	106	59	solution	solution	NOUN
fcis-31262	106	60	first	first	ADV
fcis-31262	106	61	,	,	PUNCT
fcis-31262	106	62	this	this	DET
fcis-31262	106	63	paper	paper	NOUN
fcis-31262	106	64	needs	need	VERB
fcis-31262	106	65	to	to	PART
fcis-31262	106	66	establish	establish	VERB
fcis-31262	106	67	a	a	DET
fcis-31262	106	68	mathematical	mathematical	ADJ
fcis-31262	106	69	model	model	NOUN
fcis-31262	106	70	to	to	PART
fcis-31262	106	71	optimise	optimise	VERB
fcis-31262	106	72	the	the	DET
fcis-31262	106	73	waste	waste	NOUN
fcis-31262	106	74	transport	transport	PROPN
fcis-31262	106	75	route	route	NOUN
fcis-31262	106	76	under	under	ADP
fcis-31262	106	77	multi	multi	ADJ
fcis-31262	106	78	-	-	ADJ
fcis-31262	106	79	vehicle	vehicle	NOUN
fcis-31262	106	80	collaboration	collaboration	NOUN
fcis-31262	106	81	and	and	CCONJ
fcis-31262	106	82	load	load	NOUN
fcis-31262	106	83	constraints	constraint	NOUN
fcis-31262	106	84	,	,	PUNCT
fcis-31262	106	85	with	with	ADP
fcis-31262	106	86	the	the	DET
fcis-31262	106	87	objective	objective	NOUN
fcis-31262	106	88	of	of	ADP
fcis-31262	106	89	minimising	minimise	VERB
fcis-31262	106	90	the	the	DET
fcis-31262	106	91	total	total	ADJ
fcis-31262	106	92	daily	daily	ADJ
fcis-31262	106	93	transport	transport	NOUN
fcis-31262	106	94	cost	cost	NOUN
fcis-31262	106	95	.	.	PUNCT
fcis-31262	107	1	the	the	DET
fcis-31262	107	2	following	follow	VERB
fcis-31262	107	3	factors	factor	NOUN
fcis-31262	107	4	are	be	AUX
fcis-31262	107	5	considered	consider	VERB
fcis-31262	107	6	:	:	PUNCT
fcis-31262	107	7	the	the	DET
fcis-31262	107	8	decision	decision	NOUN
fcis-31262	107	9	variable	variable	NOUN
fcis-31262	107	10	indicates	indicate	VERB
fcis-31262	107	11	whether	whether	SCONJ
fcis-31262	107	12	vehicle	vehicle	NOUN
fcis-31262	107	13	transports	transport	NOUN
fcis-31262	107	14	waste	waste	VERB
fcis-31262	107	15	from	from	ADP
fcis-31262	107	16	collection	collection	NOUN
fcis-31262	107	17	point	point	NOUN
fcis-31262	107	18	to	to	ADP
fcis-31262	107	19	collection	collection	NOUN
fcis-31262	107	20	point	point	NOUN
fcis-31262	107	21	(	(	PUNCT
fcis-31262	107	22	1	1	NUM
fcis-31262	107	23	indicates	indicate	VERB
fcis-31262	107	24	yes	yes	INTJ
fcis-31262	107	25	,	,	PUNCT
fcis-31262	107	26	0	0	NUM
fcis-31262	107	27	indicates	indicate	VERB
fcis-31262	107	28	no	no	PRON
fcis-31262	107	29	)	)	PUNCT
fcis-31262	107	30	.	.	PUNCT
fcis-31262	108	1	represents	represent	VERB
fcis-31262	108	2	the	the	DET
fcis-31262	108	3	amount	amount	NOUN
fcis-31262	108	4	of	of	ADP
fcis-31262	108	5	waste	waste	NOUN
fcis-31262	108	6	collected	collect	VERB
fcis-31262	108	7	by	by	ADP
fcis-31262	108	8	vehicle	vehicle	NOUN
fcis-31262	108	9	at	at	ADP
fcis-31262	108	10	collection	collection	NOUN
fcis-31262	108	11	point	point	NOUN
fcis-31262	108	12	(	(	PUNCT
fcis-31262	108	13	unit	unit	NOUN
fcis-31262	108	14	:	:	PUNCT
fcis-31262	108	15	tonnes	tonne	NOUN
fcis-31262	108	16	)	)	PUNCT
fcis-31262	108	17	.	.	PUNCT
fcis-31262	109	1	represents	represent	VERB
fcis-31262	109	2	the	the	DET
fcis-31262	109	3	total	total	ADJ
fcis-31262	109	4	travel	travel	NOUN
fcis-31262	109	5	time	time	NOUN
fcis-31262	109	6	of	of	ADP
fcis-31262	109	7	vehicle	vehicle	NOUN
fcis-31262	109	8	(	(	PUNCT
fcis-31262	109	9	unit	unit	NOUN
fcis-31262	109	10	:	:	PUNCT
fcis-31262	109	11	hours	hour	NOUN
fcis-31262	109	12	)	)	PUNCT
fcis-31262	109	13	.	.	PUNCT
fcis-31262	110	1	assuming	assume	VERB
fcis-31262	110	2	that	that	SCONJ
fcis-31262	110	3	the	the	DET
fcis-31262	110	4	travel	travel	NOUN
fcis-31262	110	5	cost	cost	NOUN
fcis-31262	110	6	of	of	ADP
fcis-31262	110	7	each	each	DET
fcis-31262	110	8	vehicle	vehicle	NOUN
fcis-31262	110	9	is	be	AUX
fcis-31262	110	10	proportional	proportional	ADJ
fcis-31262	110	11	to	to	ADP
fcis-31262	110	12	the	the	DET
fcis-31262	110	13	distance	distance	NOUN
fcis-31262	110	14	travelled	travel	VERB
fcis-31262	110	15	,	,	PUNCT
fcis-31262	110	16	the	the	DET
fcis-31262	110	17	total	total	ADJ
fcis-31262	110	18	transportation	transportation	NOUN
fcis-31262	110	19	cost	cost	NOUN
fcis-31262	110	20	is	be	AUX
fcis-31262	110	21	:	:	PUNCT
fcis-31262	110	22	4	4	NUM
fcis-31262	110	23	1	1	NUM
fcis-31262	110	24	1	1	NUM
fcis-31262	110	25	1	1	NUM
fcis-31262	110	26	minimize	minimize	VERB
fcis-31262	110	27	n	n	ADP
fcis-31262	110	28	n	n	NOUN
fcis-31262	110	29	k	k	PROPN
fcis-31262	110	30	ij	ij	X
fcis-31262	110	31	ijk	ijk	PROPN
fcis-31262	110	32	k	k	PROPN
fcis-31262	111	1	i	i	PRON
fcis-31262	111	2	j	j	PROPN
fcis-31262	112	1	z	z	NOUN
fcis-31262	112	2	c	c	PROPN
fcis-31262	113	1	d	d	NOUN
fcis-31262	113	2	x	x	PUNCT
fcis-31262	113	3			NOUN
fcis-31262	113	4			NUM
fcis-31262	113	5			NUM
fcis-31262	113	6			ADJ
fcis-31262	113	7			ADJ
fcis-31262	113	8			NOUN
fcis-31262	113	9	(	(	PUNCT
fcis-31262	113	10	14	14	NUM
fcis-31262	113	11	)	)	PUNCT
fcis-31262	113	12	where	where	SCONJ
fcis-31262	113	13	is	be	AUX
fcis-31262	113	14	the	the	DET
fcis-31262	113	15	transportation	transportation	NOUN
fcis-31262	113	16	cost	cost	NOUN
fcis-31262	113	17	per	per	ADP
fcis-31262	113	18	unit	unit	NOUN
fcis-31262	113	19	distance	distance	NOUN
fcis-31262	113	20	for	for	ADP
fcis-31262	113	21	each	each	DET
fcis-31262	113	22	type	type	NOUN
fcis-31262	113	23	of	of	ADP
fcis-31262	113	24	vehicle	vehicle	NOUN
fcis-31262	113	25	,	,	PUNCT
fcis-31262	113	26	is	be	AUX
fcis-31262	113	27	the	the	DET
fcis-31262	113	28	distance	distance	NOUN
fcis-31262	113	29	from	from	ADP
fcis-31262	113	30	collection	collection	NOUN
fcis-31262	113	31	point	point	NOUN
fcis-31262	113	32	to	to	ADP
fcis-31262	113	33	,	,	PUNCT
fcis-31262	113	34	and	and	CCONJ
fcis-31262	113	35	is	be	AUX
fcis-31262	113	36	the	the	DET
fcis-31262	113	37	decision	decision	NOUN
fcis-31262	113	38	variable	variable	NOUN
fcis-31262	113	39	,	,	PUNCT
fcis-31262	113	40	indicating	indicate	VERB
fcis-31262	113	41	whether	whether	SCONJ
fcis-31262	113	42	vehicle	vehicle	NOUN
fcis-31262	113	43	travels	travel	VERB
fcis-31262	113	44	from	from	ADP
fcis-31262	113	45	to	to	ADP
fcis-31262	113	46	.	.	PUNCT
fcis-31262	114	1	secondly	secondly	ADV
fcis-31262	114	2	,	,	PUNCT
fcis-31262	114	3	there	there	PRON
fcis-31262	114	4	are	be	VERB
fcis-31262	114	5	constraints	constraint	NOUN
fcis-31262	114	6	.	.	PUNCT
fcis-31262	115	1	the	the	DET
fcis-31262	115	2	amount	amount	NOUN
fcis-31262	115	3	of	of	ADP
fcis-31262	115	4	waste	waste	NOUN
fcis-31262	115	5	,	,	PUNCT
fcis-31262	115	6	at	at	ADP
fcis-31262	115	7	each	each	DET
fcis-31262	115	8	collection	collection	NOUN
fcis-31262	115	9	point	point	NOUN
fcis-31262	115	10	is	be	AUX
fcis-31262	115	11	known	know	VERB
fcis-31262	115	12	,	,	PUNCT
fcis-31262	115	13	and	and	CCONJ
fcis-31262	115	14	the	the	DET
fcis-31262	115	15	load	load	NOUN
fcis-31262	115	16	capacity	capacity	NOUN
fcis-31262	115	17	of	of	ADP
fcis-31262	115	18	each	each	DET
fcis-31262	115	19	vehicle	vehicle	NOUN
fcis-31262	115	20	must	must	AUX
fcis-31262	115	21	satisfy	satisfy	VERB
fcis-31262	115	22	the	the	DET
fcis-31262	115	23	following	follow	VERB
fcis-31262	115	24	formula	formula	NOUN
fcis-31262	115	25	:	:	PUNCT
fcis-31262	115	26	4	4	NUM
fcis-31262	115	27	,	,	PUNCT
fcis-31262	115	28	1	1	NUM
fcis-31262	116	1	i	i	NOUN
fcis-31262	116	2	k	k	PROPN
fcis-31262	117	1	k	k	PROPN
fcis-31262	117	2	k	k	PROPN
fcis-31262	118	1	w	w	PROPN
fcis-31262	118	2	q	q	X
fcis-31262	119	1	i	i	PRON
fcis-31262	119	2			PROPN
fcis-31262	119	3			NOUN
fcis-31262	119	4			ADV
fcis-31262	119	5	(	(	PUNCT
fcis-31262	119	6	15	15	NUM
fcis-31262	119	7	)	)	PUNCT
fcis-31262	119	8	the	the	DET
fcis-31262	119	9	total	total	ADJ
fcis-31262	119	10	amount	amount	NOUN
fcis-31262	119	11	of	of	ADP
fcis-31262	119	12	garbage	garbage	NOUN
fcis-31262	119	13	collected	collect	VERB
fcis-31262	119	14	by	by	ADP
fcis-31262	119	15	vehicle	vehicle	NOUN
fcis-31262	119	16	from	from	ADP
fcis-31262	119	17	collection	collection	NOUN
fcis-31262	119	18	point	point	NOUN
fcis-31262	119	19	can	can	AUX
fcis-31262	119	20	not	not	PART
fcis-31262	119	21	exceed	exceed	VERB
fcis-31262	119	22	its	its	PRON
fcis-31262	119	23	maximum	maximum	ADJ
fcis-31262	119	24	load	load	NOUN
fcis-31262	119	25	capacity	capacity	NOUN
fcis-31262	119	26	.	.	PUNCT
fcis-31262	120	1	and	and	CCONJ
fcis-31262	120	2	the	the	DET
fcis-31262	120	3	load	load	NOUN
fcis-31262	120	4	capacity	capacity	NOUN
fcis-31262	120	5	and	and	CCONJ
fcis-31262	120	6	volume	volume	NOUN
fcis-31262	120	7	restrictions	restriction	NOUN
fcis-31262	120	8	for	for	ADP
fcis-31262	120	9	each	each	DET
fcis-31262	120	10	vehicle	vehicle	NOUN
fcis-31262	120	11	must	must	AUX
fcis-31262	120	12	be	be	AUX
fcis-31262	120	13	satisfied	satisfy	VERB
fcis-31262	120	14	based	base	VERB
fcis-31262	120	15	on	on	ADP
fcis-31262	120	16	the	the	DET
fcis-31262	120	17	transport	transport	NOUN
fcis-31262	120	18	route	route	NOUN
fcis-31262	120	19	of	of	ADP
fcis-31262	120	20	each	each	DET
fcis-31262	120	21	vehicle	vehicle	NOUN
fcis-31262	120	22	.	.	PUNCT
fcis-31262	121	1	the	the	DET
fcis-31262	121	2	formula	formula	NOUN
fcis-31262	121	3	for	for	ADP
fcis-31262	121	4	each	each	DET
fcis-31262	121	5	vehicle	vehicle	NOUN
fcis-31262	121	6	is	be	AUX
fcis-31262	121	7	as	as	SCONJ
fcis-31262	121	8	follows	follow	VERB
fcis-31262	121	9	:	:	PUNCT
fcis-31262	121	10	,	,	PUNCT
fcis-31262	122	1	1	1	NUM
fcis-31262	122	2	n	n	NOUN
fcis-31262	123	1	i	i	PRON
fcis-31262	123	2	k	k	PROPN
fcis-31262	124	1	k	k	PROPN
fcis-31262	125	1	i	i	PRON
fcis-31262	125	2	w	w	PROPN
fcis-31262	125	3	v	v	INTJ
fcis-31262	125	4	k	k	NOUN
fcis-31262	125	5			ADJ
fcis-31262	125	6			NOUN
fcis-31262	125	7			ADV
fcis-31262	125	8	(	(	PUNCT
fcis-31262	125	9	16	16	NUM
fcis-31262	125	10	)	)	PUNCT
fcis-31262	125	11	where	where	SCONJ
fcis-31262	125	12	is	be	AUX
fcis-31262	125	13	the	the	DET
fcis-31262	125	14	volume	volume	NOUN
fcis-31262	125	15	limit	limit	NOUN
fcis-31262	125	16	of	of	ADP
fcis-31262	125	17	vehicle	vehicle	NOUN
fcis-31262	125	18	.	.	PUNCT
fcis-31262	126	1	each	each	DET
fcis-31262	126	2	collection	collection	NOUN
fcis-31262	126	3	point	point	NOUN
fcis-31262	126	4	can	can	AUX
fcis-31262	126	5	only	only	ADV
fcis-31262	126	6	be	be	AUX
fcis-31262	126	7	visited	visit	VERB
fcis-31262	126	8	once	once	ADV
fcis-31262	126	9	,	,	PUNCT
fcis-31262	126	10	and	and	CCONJ
fcis-31262	126	11	each	each	DET
fcis-31262	126	12	collection	collection	NOUN
fcis-31262	126	13	point	point	NOUN
fcis-31262	126	14	can	can	AUX
fcis-31262	126	15	only	only	ADV
fcis-31262	126	16	be	be	AUX
fcis-31262	126	17	visited	visit	VERB
fcis-31262	126	18	once	once	ADV
fcis-31262	126	19	by	by	ADP
fcis-31262	126	20	one	one	NUM
fcis-31262	126	21	vehicle	vehicle	NOUN
fcis-31262	126	22	:	:	PUNCT
fcis-31262	126	23	4	4	NUM
fcis-31262	126	24	1	1	NUM
fcis-31262	126	25	1	1	NUM
fcis-31262	126	26	1	1	NUM
fcis-31262	126	27	n	n	NOUN
fcis-31262	127	1	ijk	ijk	PROPN
fcis-31262	127	2	k	k	PROPN
fcis-31262	127	3	j	j	PROPN
fcis-31262	127	4	x	x	INTJ
fcis-31262	128	1	i	i	PRON
fcis-31262	128	2			VERB
fcis-31262	128	3			VERB
fcis-31262	128	4			INTJ
fcis-31262	128	5			PUNCT
fcis-31262	128	6	(	(	PUNCT
fcis-31262	128	7	17	17	NUM
fcis-31262	128	8	)	)	PUNCT
fcis-31262	128	9	path	path	NOUN
fcis-31262	128	10	selection	selection	NOUN
fcis-31262	128	11	constraints	constraint	NOUN
fcis-31262	128	12	require	require	VERB
fcis-31262	128	13	that	that	SCONJ
fcis-31262	128	14	each	each	DET
fcis-31262	128	15	vehicle	vehicle	NOUN
fcis-31262	128	16	's	's	PART
fcis-31262	128	17	path	path	NOUN
fcis-31262	128	18	selection	selection	NOUN
fcis-31262	128	19	must	must	AUX
fcis-31262	128	20	be	be	AUX
fcis-31262	128	21	continuous	continuous	ADJ
fcis-31262	128	22	,	,	PUNCT
fcis-31262	128	23	from	from	ADP
fcis-31262	128	24	one	one	NUM
fcis-31262	128	25	collection	collection	NOUN
fcis-31262	128	26	point	point	NOUN
fcis-31262	128	27	to	to	ADP
fcis-31262	128	28	another	another	PRON
fcis-31262	128	29	,	,	PUNCT
fcis-31262	128	30	and	and	CCONJ
fcis-31262	128	31	that	that	SCONJ
fcis-31262	128	32	the	the	DET
fcis-31262	128	33	vehicle	vehicle	NOUN
fcis-31262	128	34	must	must	AUX
fcis-31262	128	35	return	return	VERB
fcis-31262	128	36	to	to	ADP
fcis-31262	128	37	the	the	DET
fcis-31262	128	38	processing	processing	NOUN
fcis-31262	128	39	plant	plant	NOUN
fcis-31262	128	40	:	:	PUNCT
fcis-31262	128	41	1	1	NUM
fcis-31262	128	42	1	1	NUM
fcis-31262	128	43	n	n	ADP
fcis-31262	128	44	n	n	PRON
fcis-31262	128	45	ijk	ijk	NOUN
fcis-31262	128	46	jik	jik	PROPN
fcis-31262	129	1	i	i	PRON
fcis-31262	129	2	j	j	PROPN
fcis-31262	130	1	x	x	PUNCT
fcis-31262	130	2	x	x	PUNCT
fcis-31262	131	1	k	k	NOUN
fcis-31262	131	2			NOUN
fcis-31262	132	1			ADJ
fcis-31262	132	2			ADJ
fcis-31262	132	3			ADJ
fcis-31262	132	4			X
fcis-31262	132	5	(	(	PUNCT
fcis-31262	132	6	18	18	NUM
fcis-31262	132	7	)	)	PUNCT
fcis-31262	132	8	set	set	VERB
fcis-31262	132	9	vehicle	vehicle	NOUN
fcis-31262	132	10	time	time	NOUN
fcis-31262	132	11	constraints	constraint	VERB
fcis-31262	132	12	such	such	ADJ
fcis-31262	132	13	that	that	SCONJ
fcis-31262	132	14	the	the	DET
fcis-31262	132	15	travel	travel	NOUN
fcis-31262	132	16	time	time	NOUN
fcis-31262	132	17	of	of	ADP
fcis-31262	132	18	each	each	DET
fcis-31262	132	19	vehicle	vehicle	NOUN
fcis-31262	132	20	can	can	AUX
fcis-31262	132	21	not	not	PART
fcis-31262	132	22	exceed	exceed	VERB
fcis-31262	132	23	its	its	PRON
fcis-31262	132	24	maximum	maximum	ADJ
fcis-31262	132	25	travel	travel	NOUN
fcis-31262	132	26	time	time	NOUN
fcis-31262	132	27	,	,	PUNCT
fcis-31262	132	28	which	which	PRON
fcis-31262	132	29	can	can	AUX
fcis-31262	132	30	be	be	AUX
fcis-31262	132	31	expressed	express	VERB
fcis-31262	132	32	by	by	ADP
fcis-31262	132	33	the	the	DET
fcis-31262	132	34	following	follow	VERB
fcis-31262	132	35	equation	equation	NOUN
fcis-31262	132	36	:	:	PUNCT
fcis-31262	132	37	1	1	NUM
fcis-31262	132	38	1	1	NUM
fcis-31262	132	39	max	max	PROPN
fcis-31262	132	40	n	n	CCONJ
fcis-31262	132	41	n	n	ADV
fcis-31262	132	42	k	k	PROPN
fcis-31262	132	43	ij	ij	X
fcis-31262	132	44	ijk	ijk	PROPN
fcis-31262	133	1	i	i	PRON
fcis-31262	133	2	j	j	PROPN
fcis-31262	134	1	k	k	PROPN
fcis-31262	134	2	k	k	PROPN
fcis-31262	135	1	t	t	PROPN
fcis-31262	135	2	d	d	X
fcis-31262	135	3	x	x	X
fcis-31262	135	4	k	k	PROPN
fcis-31262	135	5	t	t	PROPN
fcis-31262	135	6	t	t	PROPN
fcis-31262	136	1	k	k	NOUN
fcis-31262	137	1			PROPN
fcis-31262	137	2			NUM
fcis-31262	137	3			NOUN
fcis-31262	138	1			ADJ
fcis-31262	138	2			VERB
fcis-31262	138	3			NOUN
fcis-31262	138	4			NOUN
fcis-31262	138	5			X
fcis-31262	138	6	(	(	PUNCT
fcis-31262	138	7	19	19	NUM
fcis-31262	138	8	)	)	PUNCT
fcis-31262	138	9	by	by	ADP
fcis-31262	138	10	substituting	substitute	VERB
fcis-31262	138	11	the	the	DET
fcis-31262	138	12	data	datum	NOUN
fcis-31262	138	13	into	into	ADP
fcis-31262	138	14	the	the	DET
fcis-31262	138	15	model	model	NOUN
fcis-31262	138	16	,	,	PUNCT
fcis-31262	138	17	the	the	DET
fcis-31262	138	18	results	result	NOUN
fcis-31262	138	19	that	that	PRON
fcis-31262	138	20	minimise	minimise	VERB
fcis-31262	138	21	the	the	DET
fcis-31262	138	22	total	total	ADJ
fcis-31262	138	23	daily	daily	ADJ
fcis-31262	138	24	transport	transport	NOUN
fcis-31262	138	25	cost	cost	NOUN
fcis-31262	138	26	can	can	AUX
fcis-31262	138	27	be	be	AUX
fcis-31262	138	28	obtained	obtain	VERB
fcis-31262	138	29	.	.	PUNCT
fcis-31262	139	1	the	the	DET
fcis-31262	139	2	results	result	NOUN
fcis-31262	139	3	show	show	VERB
fcis-31262	139	4	that	that	SCONJ
fcis-31262	139	5	as	as	ADP
fcis-31262	139	6	the	the	DET
fcis-31262	139	7	distance	distance	NOUN
fcis-31262	139	8	between	between	ADP
fcis-31262	139	9	the	the	DET
fcis-31262	139	10	collection	collection	NOUN
fcis-31262	139	11	point	point	NOUN
fcis-31262	139	12	and	and	CCONJ
fcis-31262	139	13	the	the	DET
fcis-31262	139	14	treatment	treatment	NOUN
fcis-31262	139	15	plant	plant	NOUN
fcis-31262	139	16	increases	increase	NOUN
fcis-31262	139	17	,	,	PUNCT
fcis-31262	139	18	the	the	DET
fcis-31262	139	19	transportation	transportation	NOUN
fcis-31262	139	20	cost	cost	NOUN
fcis-31262	139	21	also	also	ADV
fcis-31262	139	22	increases	increase	VERB
fcis-31262	139	23	.	.	PUNCT
fcis-31262	140	1	in	in	ADP
fcis-31262	140	2	other	other	ADJ
fcis-31262	140	3	words	word	NOUN
fcis-31262	140	4	,	,	PUNCT
fcis-31262	140	5	under	under	ADP
fcis-31262	140	6	the	the	DET
fcis-31262	140	7	constraints	constraint	NOUN
fcis-31262	140	8	of	of	ADP
fcis-31262	140	9	multivehicle	multivehicle	NOUN
fcis-31262	140	10	coordination	coordination	NOUN
fcis-31262	140	11	and	and	CCONJ
fcis-31262	140	12	load	load	NOUN
fcis-31262	140	13	capacity	capacity	NOUN
fcis-31262	140	14	,	,	PUNCT
fcis-31262	140	15	transportation	transportation	NOUN
fcis-31262	140	16	cost	cost	NOUN
fcis-31262	140	17	is	be	AUX
fcis-31262	140	18	positively	positively	ADV
fcis-31262	140	19	correlated	correlate	VERB
fcis-31262	140	20	with	with	ADP
fcis-31262	140	21	the	the	DET
fcis-31262	140	22	distance	distance	NOUN
fcis-31262	140	23	between	between	ADP
fcis-31262	140	24	the	the	DET
fcis-31262	140	25	collection	collection	NOUN
fcis-31262	140	26	point	point	NOUN
fcis-31262	140	27	and	and	CCONJ
fcis-31262	140	28	the	the	DET
fcis-31262	140	29	treatment	treatment	NOUN
fcis-31262	140	30	plant	plant	NOUN
fcis-31262	140	31	.	.	PUNCT
fcis-31262	141	1	3.2	3.2	NUM
fcis-31262	141	2	.	.	PUNCT
fcis-31262	142	1	case	case	NOUN
fcis-31262	142	2	verification	verification	NOUN
fcis-31262	142	3	and	and	CCONJ
fcis-31262	142	4	analysis	analysis	NOUN
fcis-31262	142	5	the	the	DET
fcis-31262	142	6	algorithm	algorithm	NOUN
fcis-31262	142	7	in	in	ADP
fcis-31262	142	8	the	the	DET
fcis-31262	142	9	previous	previous	ADJ
fcis-31262	142	10	section	section	NOUN
fcis-31262	142	11	involved	involve	VERB
fcis-31262	142	12	path	path	NOUN
fcis-31262	142	13	optimisation	optimisation	NOUN
fcis-31262	142	14	for	for	ADP
fcis-31262	142	15	a	a	DET
fcis-31262	142	16	single	single	ADJ
fcis-31262	142	17	vehicle	vehicle	NOUN
fcis-31262	142	18	,	,	PUNCT
fcis-31262	142	19	with	with	ADP
fcis-31262	142	20	the	the	DET
fcis-31262	142	21	objective	objective	NOUN
fcis-31262	142	22	of	of	ADP
fcis-31262	142	23	minimising	minimise	VERB
fcis-31262	142	24	the	the	DET
fcis-31262	142	25	total	total	ADJ
fcis-31262	142	26	distance	distance	NOUN
fcis-31262	142	27	or	or	CCONJ
fcis-31262	142	28	transport	transport	NOUN
fcis-31262	142	29	cost	cost	NOUN
fcis-31262	142	30	of	of	ADP
fcis-31262	142	31	the	the	DET
fcis-31262	142	32	path	path	NOUN
fcis-31262	142	33	.	.	PUNCT
fcis-31262	143	1	the	the	DET
fcis-31262	143	2	decision	decision	NOUN
fcis-31262	143	3	variables	variable	NOUN
fcis-31262	143	4	typically	typically	ADV
fcis-31262	143	5	included	include	VERB
fcis-31262	143	6	the	the	DET
fcis-31262	143	7	vehicle	vehicle	NOUN
fcis-31262	143	8	's	's	PART
fcis-31262	143	9	route	route	NOUN
fcis-31262	143	10	,	,	PUNCT
fcis-31262	143	11	with	with	ADP
fcis-31262	143	12	constraints	constraint	NOUN
fcis-31262	143	13	that	that	PRON
fcis-31262	143	14	each	each	DET
fcis-31262	143	15	collection	collection	NOUN
fcis-31262	143	16	point	point	NOUN
fcis-31262	143	17	could	could	AUX
fcis-31262	143	18	only	only	ADV
fcis-31262	143	19	be	be	AUX
fcis-31262	143	20	visited	visit	VERB
fcis-31262	143	21	once	once	ADV
fcis-31262	143	22	and	and	CCONJ
fcis-31262	143	23	that	that	SCONJ
fcis-31262	143	24	the	the	DET
fcis-31262	143	25	vehicle	vehicle	NOUN
fcis-31262	143	26	must	must	AUX
fcis-31262	143	27	depart	depart	VERB
fcis-31262	143	28	from	from	ADP
fcis-31262	143	29	and	and	CCONJ
fcis-31262	143	30	return	return	VERB
fcis-31262	143	31	to	to	ADP
fcis-31262	143	32	the	the	DET
fcis-31262	143	33	processing	processing	NOUN
fcis-31262	143	34	plant	plant	NOUN
fcis-31262	143	35	.	.	PUNCT
fcis-31262	144	1	this	this	DET
fcis-31262	144	2	chapter	chapter	NOUN
fcis-31262	144	3	requires	require	VERB
fcis-31262	144	4	expanding	expand	VERB
fcis-31262	144	5	the	the	DET
fcis-31262	144	6	decision	decision	NOUN
fcis-31262	144	7	variables	variable	NOUN
fcis-31262	144	8	to	to	PART
fcis-31262	144	9	consider	consider	VERB
fcis-31262	144	10	different	different	ADJ
fcis-31262	144	11	types	type	NOUN
fcis-31262	144	12	of	of	ADP
fcis-31262	144	13	vehicles	vehicle	NOUN
fcis-31262	144	14	.	.	PUNCT
fcis-31262	145	1	for	for	ADP
fcis-31262	145	2	example	example	NOUN
fcis-31262	145	3	,	,	PUNCT
fcis-31262	145	4	for	for	ADP
fcis-31262	145	5	vehicle	vehicle	NOUN
fcis-31262	145	6	type	type	NOUN
fcis-31262	145	7	,	,	PUNCT
fcis-31262	145	8	the	the	DET
fcis-31262	145	9	decision	decision	NOUN
fcis-31262	145	10	variable	variable	NOUN
fcis-31262	145	11	can	can	AUX
fcis-31262	145	12	indicate	indicate	VERB
fcis-31262	145	13	whether	whether	SCONJ
fcis-31262	145	14	vehicle	vehicle	NOUN
fcis-31262	145	15	transports	transport	NOUN
fcis-31262	145	16	from	from	ADP
fcis-31262	145	17	collection	collection	NOUN
fcis-31262	145	18	point	point	NOUN
fcis-31262	145	19	to	to	ADP
fcis-31262	145	20	collection	collection	NOUN
fcis-31262	145	21	point	point	NOUN
fcis-31262	145	22	.	.	PUNCT
fcis-31262	146	1	the	the	DET
fcis-31262	146	2	new	new	ADJ
fcis-31262	146	3	decision	decision	NOUN
fcis-31262	146	4	variable	variable	NOUN
fcis-31262	146	5	indicates	indicate	VERB
fcis-31262	146	6	whether	whether	SCONJ
fcis-31262	146	7	vehicle	vehicle	NOUN
fcis-31262	146	8	transports	transport	NOUN
fcis-31262	146	9	from	from	ADP
fcis-31262	146	10	collection	collection	NOUN
fcis-31262	146	11	point	point	NOUN
fcis-31262	146	12	to	to	ADP
fcis-31262	146	13	collection	collection	NOUN
fcis-31262	146	14	point	point	NOUN
fcis-31262	146	15	.	.	PUNCT
fcis-31262	147	1	for	for	ADP
fcis-31262	147	2	the	the	DET
fcis-31262	147	3	expansion	expansion	NOUN
fcis-31262	147	4	of	of	ADP
fcis-31262	147	5	the	the	DET
fcis-31262	147	6	objective	objective	ADJ
fcis-31262	147	7	function	function	NOUN
fcis-31262	147	8	,	,	PUNCT
fcis-31262	147	9	it	it	PRON
fcis-31262	147	10	is	be	AUX
fcis-31262	147	11	necessary	necessary	ADJ
fcis-31262	147	12	to	to	PART
fcis-31262	147	13	simultaneously	simultaneously	ADV
fcis-31262	147	14	minimise	minimise	VERB
fcis-31262	147	15	factors	factor	NOUN
fcis-31262	147	16	such	such	ADJ
fcis-31262	147	17	as	as	ADP
fcis-31262	147	18	transportation	transportation	NOUN
fcis-31262	147	19	costs	cost	NOUN
fcis-31262	147	20	and	and	CCONJ
fcis-31262	147	21	carbon	carbon	NOUN
fcis-31262	147	22	emissions	emission	NOUN
fcis-31262	147	23	.	.	PUNCT
fcis-31262	148	1	the	the	DET
fcis-31262	148	2	new	new	ADJ
fcis-31262	148	3	objective	objective	ADJ
fcis-31262	148	4	function	function	NOUN
fcis-31262	148	5	formula	formula	NOUN
fcis-31262	148	6	is	be	AUX
fcis-31262	148	7	as	as	SCONJ
fcis-31262	148	8	follows	follow	VERB
fcis-31262	148	9	:	:	PUNCT
fcis-31262	148	10	1	1	NUM
fcis-31262	148	11	1	1	NUM
fcis-31262	148	12	1	1	NUM
fcis-31262	148	13	1	1	NUM
fcis-31262	148	14	minimize	minimize	VERB
fcis-31262	148	15	k	k	PROPN
fcis-31262	148	16	n	n	CCONJ
fcis-31262	148	17	n	n	ADV
fcis-31262	148	18	k	k	PROPN
fcis-31262	148	19	ij	ij	X
fcis-31262	149	1	ijk	ijk	PROPN
fcis-31262	149	2	k	k	PROPN
fcis-31262	150	1	i	i	PRON
fcis-31262	150	2	j	j	PROPN
fcis-31262	151	1	z	z	NOUN
fcis-31262	151	2	c	c	PROPN
fcis-31262	152	1	d	d	NOUN
fcis-31262	152	2	x	x	PUNCT
fcis-31262	152	3			NOUN
fcis-31262	152	4			NUM
fcis-31262	152	5			NUM
fcis-31262	152	6			ADJ
fcis-31262	152	7			ADJ
fcis-31262	152	8			NOUN
fcis-31262	152	9	(	(	PUNCT
fcis-31262	152	10	20	20	NUM
fcis-31262	152	11	)	)	PUNCT
fcis-31262	152	12	at	at	ADP
fcis-31262	152	13	the	the	DET
fcis-31262	152	14	same	same	ADJ
fcis-31262	152	15	time	time	NOUN
fcis-31262	152	16	,	,	PUNCT
fcis-31262	152	17	the	the	DET
fcis-31262	152	18	carbon	carbon	NOUN
fcis-31262	152	19	emission	emission	NOUN
fcis-31262	152	20	cost	cost	NOUN
fcis-31262	152	21	formula	formula	NOUN
fcis-31262	152	22	is	be	AUX
fcis-31262	152	23	added	add	VERB
fcis-31262	152	24	as	as	SCONJ
fcis-31262	152	25	follows	follow	VERB
fcis-31262	152	26	:	:	PUNCT
fcis-31262	152	27			PROPN
fcis-31262	152	28	2	2	NOUN
fcis-31262	152	29	factor	factor	NOUN
fcis-31262	152	30	1	1	NUM
fcis-31262	152	31	1	1	NUM
fcis-31262	152	32	1	1	NUM
fcis-31262	152	33	emission	emission	NOUN
fcis-31262	152	34	k	k	PROPN
fcis-31262	152	35	k	k	PROPN
fcis-31262	152	36	n	n	CCONJ
fcis-31262	152	37	n	n	ADV
fcis-31262	152	38	ij	ij	INTJ
fcis-31262	153	1	ijk	ijk	PROPN
fcis-31262	154	1	k	k	PROPN
fcis-31262	155	1	i	i	PRON
fcis-31262	155	2	j	j	PROPN
fcis-31262	156	1	z	z	NOUN
fcis-31262	156	2	d	d	NOUN
fcis-31262	156	3	x	x	PUNCT
fcis-31262	157	1			NOUN
fcis-31262	157	2			NUM
fcis-31262	157	3			NUM
fcis-31262	157	4			ADJ
fcis-31262	157	5			ADJ
fcis-31262	157	6			NOUN
fcis-31262	157	7	(	(	PUNCT
fcis-31262	157	8	21	21	NUM
fcis-31262	157	9	)	)	PUNCT
fcis-31262	157	10	the	the	DET
fcis-31262	157	11	final	final	ADJ
fcis-31262	157	12	objective	objective	ADJ
fcis-31262	157	13	function	function	NOUN
fcis-31262	157	14	formula	formula	NOUN
fcis-31262	157	15	is	be	AUX
fcis-31262	157	16	as	as	SCONJ
fcis-31262	157	17	follows	follow	VERB
fcis-31262	157	18	:	:	PUNCT
fcis-31262	157	19	1	1	NUM
fcis-31262	157	20	2	2	NUM
fcis-31262	157	21	minimize	minimize	VERB
fcis-31262	157	22	z	z	PROPN
fcis-31262	157	23	z	z	PROPN
fcis-31262	157	24	z	z	PROPN
fcis-31262	157	25			X
fcis-31262	157	26	(	(	PUNCT
fcis-31262	157	27	22	22	NUM
fcis-31262	157	28	)	)	PUNCT
fcis-31262	157	29	95	95	NUM
fcis-31262	157	30	where	where	SCONJ
fcis-31262	157	31	is	be	AUX
fcis-31262	157	32	the	the	DET
fcis-31262	157	33	weighting	weighting	NOUN
fcis-31262	157	34	factor	factor	NOUN
fcis-31262	157	35	for	for	ADP
fcis-31262	157	36	adjusting	adjust	VERB
fcis-31262	157	37	carbon	carbon	NOUN
fcis-31262	157	38	emission	emission	NOUN
fcis-31262	157	39	costs	cost	NOUN
fcis-31262	157	40	.	.	PUNCT
fcis-31262	158	1	constraints	constraint	NOUN
fcis-31262	158	2	include	include	VERB
fcis-31262	158	3	each	each	DET
fcis-31262	158	4	collection	collection	NOUN
fcis-31262	158	5	point	point	NOUN
fcis-31262	158	6	can	can	AUX
fcis-31262	158	7	only	only	ADV
fcis-31262	158	8	be	be	AUX
fcis-31262	158	9	visited	visit	VERB
fcis-31262	158	10	once	once	ADV
fcis-31262	158	11	,	,	PUNCT
fcis-31262	158	12	path	path	NOUN
fcis-31262	158	13	connectivity	connectivity	NOUN
fcis-31262	158	14	,	,	PUNCT
fcis-31262	158	15	load	load	NOUN
fcis-31262	158	16	capacity	capacity	NOUN
fcis-31262	158	17	,	,	PUNCT
fcis-31262	158	18	travel	travel	NOUN
fcis-31262	158	19	time	time	NOUN
fcis-31262	158	20	,	,	PUNCT
fcis-31262	158	21	vehicle	vehicle	NOUN
fcis-31262	158	22	type	type	NOUN
fcis-31262	158	23	matching	matching	NOUN
fcis-31262	158	24	,	,	PUNCT
fcis-31262	158	25	etc	etc	X
fcis-31262	158	26	.	.	X
fcis-31262	158	27	,	,	PUNCT
fcis-31262	158	28	with	with	ADP
fcis-31262	158	29	the	the	DET
fcis-31262	158	30	same	same	ADJ
fcis-31262	158	31	formula	formula	NOUN
fcis-31262	158	32	as	as	ADP
fcis-31262	158	33	above	above	ADV
fcis-31262	158	34	.	.	PUNCT
fcis-31262	159	1	this	this	DET
fcis-31262	159	2	paper	paper	NOUN
fcis-31262	159	3	substitutes	substitute	VERB
fcis-31262	159	4	the	the	DET
fcis-31262	159	5	adjusted	adjust	VERB
fcis-31262	159	6	data	datum	NOUN
fcis-31262	159	7	into	into	ADP
fcis-31262	159	8	the	the	DET
fcis-31262	159	9	model	model	NOUN
fcis-31262	159	10	and	and	CCONJ
fcis-31262	159	11	solves	solve	VERB
fcis-31262	159	12	it	it	PRON
fcis-31262	159	13	using	use	VERB
fcis-31262	159	14	a	a	DET
fcis-31262	159	15	genetic	genetic	ADJ
fcis-31262	159	16	algorithm	algorithm	NOUN
fcis-31262	159	17	.	.	PUNCT
fcis-31262	160	1	figure	figure	NOUN
fcis-31262	160	2	2	2	NUM
fcis-31262	160	3	.	.	PUNCT
fcis-31262	160	4	total	total	ADJ
fcis-31262	160	5	transport	transport	NOUN
fcis-31262	160	6	costs	cost	NOUN
fcis-31262	160	7	(	(	PUNCT
fcis-31262	160	8	including	include	VERB
fcis-31262	160	9	carbon	carbon	NOUN
fcis-31262	160	10	costs	cost	NOUN
fcis-31262	160	11	)	)	PUNCT
fcis-31262	160	12	chart	chart	NOUN
fcis-31262	160	13	figure	figure	NOUN
fcis-31262	160	14	2	2	NUM
fcis-31262	160	15	shows	show	VERB
fcis-31262	160	16	that	that	SCONJ
fcis-31262	160	17	the	the	DET
fcis-31262	160	18	optimised	optimise	VERB
fcis-31262	160	19	vehicle	vehicle	NOUN
fcis-31262	160	20	routes	route	NOUN
fcis-31262	160	21	can	can	AUX
fcis-31262	160	22	be	be	AUX
fcis-31262	160	23	intuitively	intuitively	ADV
fcis-31262	160	24	presented	present	VERB
fcis-31262	160	25	through	through	ADP
fcis-31262	160	26	overlay	overlay	NOUN
fcis-31262	160	27	analysis	analysis	NOUN
fcis-31262	160	28	,	,	PUNCT
fcis-31262	160	29	showing	show	VERB
fcis-31262	160	30	the	the	DET
fcis-31262	160	31	driving	driving	NOUN
fcis-31262	160	32	trajectories	trajectory	NOUN
fcis-31262	160	33	and	and	CCONJ
fcis-31262	160	34	overlapping	overlap	VERB
fcis-31262	160	35	areas	area	NOUN
fcis-31262	160	36	,	,	PUNCT
fcis-31262	160	37	which	which	PRON
fcis-31262	160	38	helps	help	VERB
fcis-31262	160	39	with	with	ADP
fcis-31262	160	40	efficiency	efficiency	NOUN
fcis-31262	160	41	assessment	assessment	NOUN
fcis-31262	160	42	.	.	PUNCT
fcis-31262	161	1	the	the	DET
fcis-31262	161	2	height	height	NOUN
fcis-31262	161	3	distribution	distribution	NOUN
fcis-31262	161	4	map	map	NOUN
fcis-31262	161	5	of	of	ADP
fcis-31262	161	6	collection	collection	NOUN
fcis-31262	161	7	points	point	NOUN
fcis-31262	161	8	uses	use	VERB
fcis-31262	161	9	different	different	ADJ
fcis-31262	161	10	colours	colour	NOUN
fcis-31262	161	11	to	to	PART
fcis-31262	161	12	represent	represent	VERB
fcis-31262	161	13	the	the	DET
fcis-31262	161	14	amount	amount	NOUN
fcis-31262	161	15	of	of	ADP
fcis-31262	161	16	waste	waste	NOUN
fcis-31262	161	17	,	,	PUNCT
fcis-31262	161	18	providing	provide	VERB
fcis-31262	161	19	a	a	DET
fcis-31262	161	20	basis	basis	NOUN
fcis-31262	161	21	for	for	ADP
fcis-31262	161	22	load	load	NOUN
fcis-31262	161	23	distribution	distribution	NOUN
fcis-31262	161	24	.	.	PUNCT
fcis-31262	162	1	the	the	DET
fcis-31262	162	2	final	final	ADJ
fcis-31262	162	3	minimised	minimised	ADJ
fcis-31262	162	4	total	total	ADJ
fcis-31262	162	5	transport	transport	NOUN
fcis-31262	162	6	cost	cost	NOUN
fcis-31262	162	7	(	(	PUNCT
fcis-31262	162	8	including	include	VERB
fcis-31262	162	9	carbon	carbon	NOUN
fcis-31262	162	10	emissions	emission	NOUN
fcis-31262	162	11	)	)	PUNCT
fcis-31262	162	12	is	be	AUX
fcis-31262	162	13	89,351.2353	89,351.2353	NUM
fcis-31262	162	14	.	.	NOUN
fcis-31262	163	1	4	4	NUM
fcis-31262	163	2	.	.	X
fcis-31262	163	3	comprehensive	comprehensive	ADJ
fcis-31262	163	4	optimisation	optimisation	NOUN
fcis-31262	163	5	of	of	ADP
fcis-31262	163	6	transfer	transfer	NOUN
fcis-31262	163	7	station	station	NOUN
fcis-31262	163	8	location	location	NOUN
fcis-31262	163	9	4.1	4.1	NUM
fcis-31262	163	10	.	.	PUNCT
fcis-31262	164	1	site	site	NOUN
fcis-31262	164	2	selection	selection	NOUN
fcis-31262	164	3	route	route	NOUN
fcis-31262	164	4	carbon	carbon	NOUN
fcis-31262	164	5	emissions	emission	NOUN
fcis-31262	164	6	three	three	NUM
fcis-31262	164	7	-	-	PUNCT
fcis-31262	164	8	in	in	ADP
fcis-31262	164	9	-	-	PUNCT
fcis-31262	164	10	one	one	NUM
fcis-31262	164	11	model	model	NOUN
fcis-31262	164	12	in	in	ADP
fcis-31262	164	13	this	this	DET
fcis-31262	164	14	section	section	NOUN
fcis-31262	164	15	,	,	PUNCT
fcis-31262	164	16	represents	represent	VERB
fcis-31262	164	17	the	the	DET
fcis-31262	164	18	number	number	NOUN
fcis-31262	164	19	of	of	ADP
fcis-31262	164	20	urban	urban	ADJ
fcis-31262	164	21	waste	waste	NOUN
fcis-31262	164	22	collection	collection	NOUN
fcis-31262	164	23	points	point	NOUN
fcis-31262	164	24	.	.	PUNCT
fcis-31262	165	1	represents	represent	VERB
fcis-31262	165	2	the	the	DET
fcis-31262	165	3	number	number	NOUN
fcis-31262	165	4	of	of	ADP
fcis-31262	165	5	candidate	candidate	NOUN
fcis-31262	165	6	locations	location	NOUN
fcis-31262	165	7	for	for	ADP
fcis-31262	165	8	transfer	transfer	NOUN
fcis-31262	165	9	stations	station	NOUN
fcis-31262	165	10	.	.	PUNCT
fcis-31262	166	1	denotes	denote	VERB
fcis-31262	166	2	the	the	DET
fcis-31262	166	3	maximum	maximum	ADJ
fcis-31262	166	4	storage	storage	NOUN
fcis-31262	166	5	capacity	capacity	NOUN
fcis-31262	166	6	for	for	ADP
fcis-31262	166	7	waste	waste	NOUN
fcis-31262	166	8	type	type	NOUN
fcis-31262	166	9	(	(	PUNCT
fcis-31262	166	10	in	in	ADP
fcis-31262	166	11	tonnes	tonne	NOUN
fcis-31262	166	12	)	)	PUNCT
fcis-31262	166	13	.	.	PUNCT
fcis-31262	167	1	denotes	denote	VERB
fcis-31262	167	2	the	the	DET
fcis-31262	167	3	construction	construction	NOUN
fcis-31262	167	4	cost	cost	NOUN
fcis-31262	167	5	of	of	ADP
fcis-31262	167	6	transfer	transfer	NOUN
fcis-31262	167	7	station	station	NOUN
fcis-31262	167	8	(	(	PUNCT
fcis-31262	167	9	in	in	ADP
fcis-31262	167	10	ten	ten	NUM
fcis-31262	167	11	thousand	thousand	NUM
fcis-31262	167	12	yuan	yuan	NOUN
fcis-31262	167	13	)	)	PUNCT
fcis-31262	167	14	,	,	PUNCT
fcis-31262	167	15	assuming	assume	VERB
fcis-31262	167	16	each	each	DET
fcis-31262	167	17	transfer	transfer	NOUN
fcis-31262	167	18	station	station	NOUN
fcis-31262	167	19	has	have	VERB
fcis-31262	167	20	a	a	DET
fcis-31262	167	21	service	service	NOUN
fcis-31262	167	22	life	life	NOUN
fcis-31262	167	23	of	of	ADP
fcis-31262	167	24	10	10	NUM
fcis-31262	167	25	years	year	NOUN
fcis-31262	167	26	.	.	PUNCT
fcis-31262	168	1	denotes	denote	VERB
fcis-31262	168	2	the	the	DET
fcis-31262	168	3	carbon	carbon	NOUN
fcis-31262	168	4	emission	emission	NOUN
fcis-31262	168	5	coefficient	coefficient	NOUN
fcis-31262	168	6	for	for	ADP
fcis-31262	168	7	waste	waste	NOUN
fcis-31262	168	8	type	type	NOUN
fcis-31262	168	9	(	(	PUNCT
fcis-31262	168	10	unit	unit	NOUN
fcis-31262	168	11	:	:	PUNCT
fcis-31262	168	12	kg	kg	PROPN
fcis-31262	168	13	/	/	SYM
fcis-31262	168	14	kmꞏtonnes	kmꞏtonne	NOUN
fcis-31262	168	15	)	)	PUNCT
fcis-31262	168	16	.	.	PUNCT
fcis-31262	169	1	is	be	AUX
fcis-31262	169	2	the	the	DET
fcis-31262	169	3	carbon	carbon	NOUN
fcis-31262	169	4	emission	emission	NOUN
fcis-31262	169	5	coefficient	coefficient	NOUN
fcis-31262	169	6	for	for	ADP
fcis-31262	169	7	the	the	DET
fcis-31262	169	8	th	th	X
fcis-31262	169	9	type	type	NOUN
fcis-31262	169	10	of	of	ADP
fcis-31262	169	11	waste	waste	NOUN
fcis-31262	169	12	(	(	PUNCT
fcis-31262	169	13	unit	unit	NOUN
fcis-31262	169	14	:	:	PUNCT
fcis-31262	169	15	kg	kg	PROPN
fcis-31262	169	16	/	/	SYM
fcis-31262	169	17	kmꞏtonnes	kmꞏtonne	NOUN
fcis-31262	169	18	)	)	PUNCT
fcis-31262	169	19	.	.	PUNCT
fcis-31262	170	1	,	,	PUNCT
fcis-31262	170	2	is	be	AUX
fcis-31262	170	3	the	the	DET
fcis-31262	170	4	distance	distance	NOUN
fcis-31262	170	5	from	from	ADP
fcis-31262	170	6	collection	collection	NOUN
fcis-31262	170	7	point	point	NOUN
fcis-31262	170	8	to	to	PART
fcis-31262	170	9	transfer	transfer	VERB
fcis-31262	170	10	station	station	NOUN
fcis-31262	170	11	(	(	PUNCT
fcis-31262	170	12	unit	unit	NOUN
fcis-31262	170	13	:	:	PUNCT
fcis-31262	170	14	kilometres	kilometre	NOUN
fcis-31262	170	15	)	)	PUNCT
fcis-31262	170	16	.	.	PUNCT
fcis-31262	171	1	,	,	PUNCT
fcis-31262	171	2	is	be	AUX
fcis-31262	171	3	the	the	DET
fcis-31262	171	4	weight	weight	NOUN
fcis-31262	171	5	of	of	ADP
fcis-31262	171	6	waste	waste	NOUN
fcis-31262	171	7	from	from	ADP
fcis-31262	171	8	collection	collection	NOUN
fcis-31262	171	9	point	point	NOUN
fcis-31262	171	10	to	to	PART
fcis-31262	171	11	transfer	transfer	VERB
fcis-31262	171	12	station	station	NOUN
fcis-31262	171	13	(	(	PUNCT
fcis-31262	171	14	unit	unit	NOUN
fcis-31262	171	15	:	:	PUNCT
fcis-31262	171	16	tonnes	tonne	NOUN
fcis-31262	171	17	)	)	PUNCT
fcis-31262	171	18	.	.	PUNCT
fcis-31262	172	1	,	,	PUNCT
fcis-31262	172	2	is	be	AUX
fcis-31262	172	3	1	1	NUM
fcis-31262	172	4	if	if	SCONJ
fcis-31262	172	5	collection	collection	NOUN
fcis-31262	172	6	point	point	NOUN
fcis-31262	172	7	is	be	AUX
fcis-31262	172	8	associated	associate	VERB
fcis-31262	172	9	with	with	ADP
fcis-31262	172	10	transfer	transfer	NOUN
fcis-31262	172	11	station	station	NOUN
fcis-31262	172	12	,	,	PUNCT
fcis-31262	172	13	and	and	CCONJ
fcis-31262	172	14	0	0	NUM
fcis-31262	172	15	otherwise	otherwise	ADV
fcis-31262	172	16	.	.	PUNCT
fcis-31262	173	1	:	:	PUNCT
fcis-31262	173	2	if	if	SCONJ
fcis-31262	173	3	transfer	transfer	NOUN
fcis-31262	173	4	station	station	NOUN
fcis-31262	173	5	j	j	PROPN
fcis-31262	173	6	is	be	AUX
fcis-31262	173	7	selected	select	VERB
fcis-31262	173	8	,	,	PUNCT
fcis-31262	173	9	then	then	ADV
fcis-31262	173	10	1	1	NUM
fcis-31262	173	11	,	,	PUNCT
fcis-31262	173	12	and	and	CCONJ
fcis-31262	173	13	0	0	NUM
fcis-31262	173	14	otherwise	otherwise	ADV
fcis-31262	173	15	.	.	PUNCT
fcis-31262	174	1	,	,	PUNCT
fcis-31262	174	2	:	:	PUNCT
fcis-31262	174	3	if	if	SCONJ
fcis-31262	174	4	the	the	DET
fcis-31262	174	5	transportation	transportation	NOUN
fcis-31262	174	6	route	route	NOUN
fcis-31262	174	7	from	from	ADP
fcis-31262	174	8	to	to	ADP
fcis-31262	174	9	is	be	AUX
fcis-31262	174	10	selected	select	VERB
fcis-31262	174	11	,	,	PUNCT
fcis-31262	174	12	then	then	ADV
fcis-31262	174	13	,	,	PUNCT
fcis-31262	174	14	1	1	NUM
fcis-31262	174	15	,	,	PUNCT
fcis-31262	174	16	and	and	CCONJ
fcis-31262	174	17	0	0	NUM
fcis-31262	174	18	otherwise	otherwise	ADV
fcis-31262	174	19	.	.	PUNCT
fcis-31262	175	1	the	the	DET
fcis-31262	175	2	objective	objective	NOUN
fcis-31262	175	3	of	of	ADP
fcis-31262	175	4	this	this	DET
fcis-31262	175	5	paper	paper	NOUN
fcis-31262	175	6	is	be	AUX
fcis-31262	175	7	to	to	PART
fcis-31262	175	8	minimise	minimise	VERB
fcis-31262	175	9	the	the	DET
fcis-31262	175	10	comprehensive	comprehensive	ADJ
fcis-31262	175	11	cost	cost	NOUN
fcis-31262	175	12	,	,	PUNCT
fcis-31262	175	13	which	which	PRON
fcis-31262	175	14	includes	include	VERB
fcis-31262	175	15	transfer	transfer	NOUN
fcis-31262	175	16	station	station	NOUN
fcis-31262	175	17	construction	construction	NOUN
fcis-31262	175	18	costs	cost	NOUN
fcis-31262	175	19	,	,	PUNCT
fcis-31262	175	20	transport	transport	NOUN
fcis-31262	175	21	costs	cost	NOUN
fcis-31262	175	22	,	,	PUNCT
fcis-31262	175	23	and	and	CCONJ
fcis-31262	175	24	carbon	carbon	NOUN
fcis-31262	175	25	emission	emission	NOUN
fcis-31262	175	26	costs	cost	NOUN
fcis-31262	175	27	:	:	PUNCT
fcis-31262	175	28	,	,	PUNCT
fcis-31262	175	29	,	,	PUNCT
fcis-31262	175	30	,	,	PUNCT
fcis-31262	175	31	,	,	PUNCT
fcis-31262	175	32	,	,	PUNCT
fcis-31262	175	33	,	,	PUNCT
fcis-31262	175	34	,	,	PUNCT
fcis-31262	175	35	,	,	PUNCT
fcis-31262	175	36	,	,	PUNCT
fcis-31262	175	37	1	1	NUM
fcis-31262	175	38	1	1	NUM
fcis-31262	175	39	1	1	NUM
fcis-31262	175	40	min	min	NOUN
fcis-31262	175	41	n	n	NOUN
fcis-31262	175	42	m	m	VERB
fcis-31262	175	43	m	m	VERB
fcis-31262	175	44	i	i	INTJ
fcis-31262	175	45	k	k	PROPN
fcis-31262	176	1	k	k	PROPN
fcis-31262	177	1	i	i	PRON
fcis-31262	177	2	k	k	INTJ
fcis-31262	178	1	i	i	PRON
fcis-31262	178	2	k	k	INTJ
fcis-31262	179	1	i	i	PRON
fcis-31262	179	2	k	k	PROPN
fcis-31262	180	1	k	k	PROPN
fcis-31262	181	1	i	i	PRON
fcis-31262	181	2	k	k	INTJ
fcis-31262	182	1	i	i	PRON
fcis-31262	182	2	k	k	INTJ
fcis-31262	183	1	i	i	PRON
fcis-31262	183	2	k	k	PROPN
fcis-31262	184	1	k	k	PROPN
fcis-31262	185	1	i	i	PRON
fcis-31262	185	2	k	k	INTJ
fcis-31262	186	1	i	i	PRON
fcis-31262	186	2	k	k	PROPN
fcis-31262	187	1	j	j	PROPN
fcis-31262	188	1	j	j	PROPN
fcis-31262	189	1	i	i	PRON
fcis-31262	189	2	k	k	PROPN
fcis-31262	190	1	j	j	PROPN
fcis-31262	190	2	d	d	PROPN
fcis-31262	190	3	c	c	PROPN
fcis-31262	190	4	w	w	PROPN
fcis-31262	190	5	z	z	PROPN
fcis-31262	190	6	d	d	PROPN
fcis-31262	190	7	w	w	PROPN
fcis-31262	190	8	z	z	PROPN
fcis-31262	190	9	d	d	PROPN
fcis-31262	190	10	w	w	PROPN
fcis-31262	190	11	z	z	PROPN
fcis-31262	190	12	t	t	NOUN
fcis-31262	190	13	y	y	PROPN
fcis-31262	190	14			PROPN
fcis-31262	190	15			PROPN
fcis-31262	191	1			PROPN
fcis-31262	192	1			PROPN
fcis-31262	192	2			PROPN
fcis-31262	192	3			PROPN
fcis-31262	192	4			PROPN
fcis-31262	192	5			PUNCT
fcis-31262	192	6			PROPN
fcis-31262	192	7			PROPN
fcis-31262	192	8			PROPN
fcis-31262	192	9			PUNCT
fcis-31262	192	10			PROPN
fcis-31262	192	11			PROPN
fcis-31262	192	12			PROPN
fcis-31262	192	13			PUNCT
fcis-31262	192	14			PUNCT
fcis-31262	192	15			X
fcis-31262	192	16	(	(	PUNCT
fcis-31262	192	17	23	23	NUM
fcis-31262	192	18	)	)	PUNCT
fcis-31262	192	19	association	association	NOUN
fcis-31262	192	20	constraints	constraint	NOUN
fcis-31262	192	21	between	between	ADP
fcis-31262	192	22	collection	collection	NOUN
fcis-31262	192	23	points	point	NOUN
fcis-31262	192	24	and	and	CCONJ
fcis-31262	192	25	transfer	transfer	NOUN
fcis-31262	192	26	stations	station	NOUN
fcis-31262	192	27	:	:	PUNCT
fcis-31262	192	28	each	each	DET
fcis-31262	192	29	collection	collection	NOUN
fcis-31262	192	30	point	point	NOUN
fcis-31262	192	31	must	must	AUX
fcis-31262	192	32	be	be	AUX
fcis-31262	192	33	associated	associate	VERB
fcis-31262	192	34	with	with	ADP
fcis-31262	192	35	one	one	NUM
fcis-31262	192	36	transfer	transfer	NOUN
fcis-31262	192	37	station	station	NOUN
fcis-31262	192	38	.	.	PUNCT
fcis-31262	193	1	,	,	PUNCT
fcis-31262	193	2	1	1	NUM
fcis-31262	193	3	1	1	NUM
fcis-31262	193	4	,	,	PUNCT
fcis-31262	193	5	{	{	PUNCT
fcis-31262	193	6	1	1	NUM
fcis-31262	193	7	,	,	PUNCT
fcis-31262	193	8	2	2	NUM
fcis-31262	193	9	,	,	PUNCT
fcis-31262	193	10	,	,	PUNCT
fcis-31262	193	11	}	}	PUNCT
fcis-31262	193	12	m	m	VERB
fcis-31262	194	1	i	i	VERB
fcis-31262	194	2	j	j	PROPN
fcis-31262	195	1	j	j	NOUN
fcis-31262	195	2	x	x	VERB
fcis-31262	196	1	i	i	PRON
fcis-31262	196	2	n	n	VERB
fcis-31262	196	3			NUM
fcis-31262	196	4			ADV
fcis-31262	196	5			ADJ
fcis-31262	196	6			NOUN
fcis-31262	196	7			X
fcis-31262	196	8	(	(	PUNCT
fcis-31262	196	9	24	24	NUM
fcis-31262	196	10	)	)	PUNCT
fcis-31262	196	11	waste	waste	NOUN
fcis-31262	196	12	capacity	capacity	NOUN
fcis-31262	196	13	constraints	constraint	NOUN
fcis-31262	196	14	for	for	ADP
fcis-31262	196	15	each	each	DET
fcis-31262	196	16	transfer	transfer	NOUN
fcis-31262	196	17	station	station	NOUN
fcis-31262	196	18	:	:	PUNCT
fcis-31262	196	19	the	the	DET
fcis-31262	196	20	weight	weight	NOUN
fcis-31262	196	21	of	of	ADP
fcis-31262	196	22	waste	waste	NOUN
fcis-31262	196	23	at	at	ADP
fcis-31262	196	24	each	each	DET
fcis-31262	196	25	transfer	transfer	NOUN
fcis-31262	196	26	station	station	NOUN
fcis-31262	196	27	can	can	AUX
fcis-31262	196	28	not	not	PART
fcis-31262	196	29	exceed	exceed	VERB
fcis-31262	196	30	its	its	PRON
fcis-31262	196	31	maximum	maximum	ADJ
fcis-31262	196	32	storage	storage	NOUN
fcis-31262	196	33	capacity	capacity	NOUN
fcis-31262	196	34	.	.	PUNCT
fcis-31262	197	1	,	,	PUNCT
fcis-31262	197	2	,	,	PUNCT
fcis-31262	197	3	1	1	NUM
fcis-31262	197	4	,	,	PUNCT
fcis-31262	197	5	{	{	PUNCT
fcis-31262	197	6	1	1	NUM
fcis-31262	197	7	,	,	PUNCT
fcis-31262	197	8	2	2	NUM
fcis-31262	197	9	,	,	PUNCT
fcis-31262	197	10	,	,	PUNCT
fcis-31262	197	11	}	}	PUNCT
fcis-31262	198	1	n	n	CCONJ
fcis-31262	199	1	i	i	PRON
fcis-31262	199	2	k	k	INTJ
fcis-31262	200	1	i	i	PRON
fcis-31262	200	2	k	k	PROPN
fcis-31262	201	1	k	k	PROPN
fcis-31262	201	2	i	i	PRON
fcis-31262	201	3	w	w	AUX
fcis-31262	201	4	x	x	X
fcis-31262	201	5	s	s	PROPN
fcis-31262	201	6	k	k	PROPN
fcis-31262	201	7	m	m	VERB
fcis-31262	201	8			ADJ
fcis-31262	201	9			ADJ
fcis-31262	201	10			NOUN
fcis-31262	201	11			VERB
fcis-31262	201	12			PROPN
fcis-31262	201	13			X
fcis-31262	201	14	(	(	PUNCT
fcis-31262	201	15	25	25	NUM
fcis-31262	201	16	)	)	PUNCT
fcis-31262	201	17	transit	transit	NOUN
fcis-31262	201	18	station	station	NOUN
fcis-31262	201	19	selection	selection	NOUN
fcis-31262	201	20	constraints	constraint	NOUN
fcis-31262	201	21	:	:	PUNCT
fcis-31262	201	22	if	if	SCONJ
fcis-31262	201	23	collection	collection	NOUN
fcis-31262	201	24	point	point	NOUN
fcis-31262	201	25	is	be	AUX
fcis-31262	201	26	to	to	PART
fcis-31262	201	27	be	be	AUX
fcis-31262	201	28	connected	connect	VERB
fcis-31262	201	29	to	to	ADP
fcis-31262	201	30	transit	transit	NOUN
fcis-31262	201	31	station	station	NOUN
fcis-31262	201	32	,	,	PUNCT
fcis-31262	201	33	then	then	ADV
fcis-31262	201	34	transit	transit	NOUN
fcis-31262	201	35	station	station	NOUN
fcis-31262	201	36	must	must	AUX
fcis-31262	201	37	select	select	VERB
fcis-31262	201	38	.	.	PUNCT
fcis-31262	202	1	,	,	PUNCT
fcis-31262	202	2	,	,	PUNCT
fcis-31262	202	3	{	{	PUNCT
fcis-31262	202	4	1,2	1,2	NUM
fcis-31262	202	5	,	,	PUNCT
fcis-31262	202	6	,	,	PUNCT
fcis-31262	202	7	}	}	PUNCT
fcis-31262	202	8	,	,	PUNCT
fcis-31262	202	9	{	{	PUNCT
fcis-31262	202	10	1,2	1,2	NUM
fcis-31262	202	11	,	,	PUNCT
fcis-31262	202	12	,	,	PUNCT
fcis-31262	202	13	}	}	PUNCT
fcis-31262	202	14	i	i	PRON
fcis-31262	202	15	j	j	PROPN
fcis-31262	203	1	jx	jx	PROPN
fcis-31262	203	2	y	y	PROPN
fcis-31262	204	1	i	i	PRON
fcis-31262	204	2	n	n	VERB
fcis-31262	204	3	j	j	PROPN
fcis-31262	204	4	m	m	PROPN
fcis-31262	204	5			VERB
fcis-31262	204	6			PROPN
fcis-31262	204	7			ADP
fcis-31262	204	8			PROPN
fcis-31262	204	9			PROPN
fcis-31262	204	10			PROPN
fcis-31262	204	11	(	(	PUNCT
fcis-31262	204	12	26	26	NUM
fcis-31262	204	13	)	)	PUNCT
fcis-31262	204	14	transportation	transportation	NOUN
fcis-31262	204	15	path	path	NOUN
fcis-31262	204	16	selection	selection	NOUN
fcis-31262	204	17	constraint	constraint	NOUN
fcis-31262	204	18	:	:	PUNCT
fcis-31262	204	19	if	if	SCONJ
fcis-31262	204	20	the	the	DET
fcis-31262	204	21	path	path	NOUN
fcis-31262	204	22	from	from	ADP
fcis-31262	204	23	to	to	ADP
fcis-31262	204	24	is	be	AUX
fcis-31262	204	25	selected	select	VERB
fcis-31262	204	26	,	,	PUNCT
fcis-31262	204	27	then	then	ADV
fcis-31262	204	28	,	,	PUNCT
fcis-31262	204	29	must	must	AUX
fcis-31262	204	30	be	be	AUX
fcis-31262	204	31	1	1	NUM
fcis-31262	204	32	.	.	NUM
fcis-31262	204	33	,	,	PUNCT
fcis-31262	204	34	,	,	PUNCT
fcis-31262	204	35	1	1	NUM
fcis-31262	204	36	,	,	PUNCT
fcis-31262	204	37	1i	1i	NOUN
fcis-31262	205	1	k	k	NOUN
fcis-31262	206	1	i	i	PRON
fcis-31262	206	2	kz	kz	PROPN
fcis-31262	206	3	if	if	SCONJ
fcis-31262	206	4	x	x	PROPN
fcis-31262	207	1			PROPN
fcis-31262	207	2	(	(	PUNCT
fcis-31262	207	3	27	27	NUM
fcis-31262	207	4	)	)	PUNCT
fcis-31262	207	5	4.2	4.2	NUM
fcis-31262	207	6	.	.	PUNCT
fcis-31262	208	1	case	case	NOUN
fcis-31262	208	2	verification	verification	NOUN
fcis-31262	208	3	and	and	CCONJ
fcis-31262	208	4	analysis	analysis	NOUN
fcis-31262	208	5	for	for	ADP
fcis-31262	208	6	30	30	NUM
fcis-31262	208	7	collection	collection	NOUN
fcis-31262	208	8	points	point	NOUN
fcis-31262	208	9	,	,	PUNCT
fcis-31262	208	10	assume	assume	VERB
fcis-31262	208	11	that	that	SCONJ
fcis-31262	208	12	there	there	PRON
fcis-31262	208	13	are	be	VERB
fcis-31262	208	14	5	5	NUM
fcis-31262	208	15	candidate	candidate	NOUN
fcis-31262	208	16	transfer	transfer	NOUN
fcis-31262	208	17	station	station	NOUN
fcis-31262	208	18	locations	location	NOUN
fcis-31262	208	19	.	.	PUNCT
fcis-31262	209	1	this	this	DET
fcis-31262	209	2	paper	paper	NOUN
fcis-31262	209	3	adds	add	VERB
fcis-31262	209	4	a	a	DET
fcis-31262	209	5	constraint	constraint	NOUN
fcis-31262	209	6	that	that	PRON
fcis-31262	209	7	each	each	DET
fcis-31262	209	8	collection	collection	NOUN
fcis-31262	209	9	point	point	NOUN
fcis-31262	209	10	can	can	AUX
fcis-31262	209	11	only	only	ADV
fcis-31262	209	12	be	be	AUX
fcis-31262	209	13	assigned	assign	VERB
fcis-31262	209	14	to	to	ADP
fcis-31262	209	15	one	one	NUM
fcis-31262	209	16	transfer	transfer	NOUN
fcis-31262	209	17	station	station	NOUN
fcis-31262	209	18	:	:	PUNCT
fcis-31262	209	19	1	1	NUM
fcis-31262	209	20	1	1	NUM
fcis-31262	209	21	,	,	PUNCT
fcis-31262	209	22	1	1	NUM
fcis-31262	209	23	,	,	PUNCT
fcis-31262	209	24	2	2	NUM
fcis-31262	209	25	,	,	PUNCT
fcis-31262	209	26	,	,	PUNCT
fcis-31262	209	27	m	m	VERB
fcis-31262	209	28	ij	ij	INTJ
fcis-31262	210	1	i	i	PRON
fcis-31262	210	2	x	x	VERB
fcis-31262	211	1	i	i	PRON
fcis-31262	211	2	n	n	VERB
fcis-31262	211	3			NOUN
fcis-31262	211	4			NOUN
fcis-31262	211	5			NOUN
fcis-31262	211	6			PRON
fcis-31262	211	7			X
fcis-31262	212	1	(	(	PUNCT
fcis-31262	212	2	28	28	NUM
fcis-31262	212	3	)	)	PUNCT
fcis-31262	212	4	each	each	DET
fcis-31262	212	5	transfer	transfer	NOUN
fcis-31262	212	6	station	station	NOUN
fcis-31262	212	7	can	can	AUX
fcis-31262	212	8	only	only	ADV
fcis-31262	212	9	accept	accept	VERB
fcis-31262	212	10	collection	collection	NOUN
fcis-31262	212	11	points	point	NOUN
fcis-31262	212	12	within	within	ADP
fcis-31262	212	13	its	its	PRON
fcis-31262	212	14	capacity	capacity	NOUN
fcis-31262	212	15	limit	limit	NOUN
fcis-31262	212	16	,	,	PUNCT
fcis-31262	212	17	and	and	CCONJ
fcis-31262	212	18	transit	transit	NOUN
fcis-31262	212	19	stations	station	NOUN
fcis-31262	212	20	can	can	AUX
fcis-31262	212	21	only	only	ADV
fcis-31262	212	22	be	be	AUX
fcis-31262	212	23	established	establish	VERB
fcis-31262	212	24	when	when	SCONJ
fcis-31262	212	25	selected	select	VERB
fcis-31262	212	26	:	:	PUNCT
fcis-31262	212	27	96	96	NUM
fcis-31262	212	28	1	1	NUM
fcis-31262	212	29	,	,	PUNCT
fcis-31262	212	30	1	1	NUM
fcis-31262	212	31	,	,	PUNCT
fcis-31262	212	32	2	2	NUM
fcis-31262	212	33	,	,	PUNCT
fcis-31262	212	34	,	,	PUNCT
fcis-31262	212	35	,	,	PUNCT
fcis-31262	212	36	1	1	NUM
fcis-31262	212	37	,	,	PUNCT
fcis-31262	212	38	2	2	NUM
fcis-31262	212	39	,	,	PUNCT
fcis-31262	212	40	,	,	PUNCT
fcis-31262	212	41	;	;	PUNCT
fcis-31262	212	42	1	1	NUM
fcis-31262	212	43	,	,	PUNCT
fcis-31262	212	44	2	2	NUM
fcis-31262	212	45	,	,	PUNCT
fcis-31262	212	46	,	,	PUNCT
fcis-31262	212	47	n	n	CCONJ
fcis-31262	213	1	ij	ij	INTJ
fcis-31262	214	1	j	j	PROPN
fcis-31262	214	2	j	j	PROPN
fcis-31262	215	1	i	i	PRON
fcis-31262	215	2	ij	ij	VERB
fcis-31262	215	3	j	j	X
fcis-31262	215	4	x	x	SYM
fcis-31262	215	5	capacity	capacity	NOUN
fcis-31262	216	1	y	y	PROPN
fcis-31262	216	2	j	j	PROPN
fcis-31262	217	1	m	m	VERB
fcis-31262	217	2	x	x	VERB
fcis-31262	217	3	y	y	VERB
fcis-31262	217	4	i	i	PRON
fcis-31262	217	5	n	n	VERB
fcis-31262	217	6	j	j	PROPN
fcis-31262	217	7	m	m	VERB
fcis-31262	217	8			PROPN
fcis-31262	217	9			NUM
fcis-31262	218	1			PROPN
fcis-31262	218	2			VERB
fcis-31262	218	3			PROPN
fcis-31262	218	4			ADP
fcis-31262	218	5			NOUN
fcis-31262	218	6			VERB
fcis-31262	218	7			PROPN
fcis-31262	218	8			NOUN
fcis-31262	218	9			NOUN
fcis-31262	218	10			PROPN
fcis-31262	218	11			NOUN
fcis-31262	218	12			X
fcis-31262	218	13	(	(	PUNCT
fcis-31262	218	14	29	29	NUM
fcis-31262	218	15	)	)	PUNCT
fcis-31262	218	16	for	for	ADP
fcis-31262	218	17	route	route	NOUN
fcis-31262	218	18	optimisation	optimisation	NOUN
fcis-31262	218	19	,	,	PUNCT
fcis-31262	218	20	we	we	PRON
fcis-31262	218	21	consider	consider	VERB
fcis-31262	218	22	the	the	DET
fcis-31262	218	23	transport	transport	NOUN
fcis-31262	218	24	route	route	NOUN
fcis-31262	218	25	optimisation	optimisation	NOUN
fcis-31262	218	26	for	for	ADP
fcis-31262	218	27	each	each	DET
fcis-31262	218	28	transfer	transfer	NOUN
fcis-31262	218	29	station	station	NOUN
fcis-31262	218	30	to	to	PART
fcis-31262	218	31	ensure	ensure	VERB
fcis-31262	218	32	that	that	SCONJ
fcis-31262	218	33	the	the	DET
fcis-31262	218	34	selected	select	VERB
fcis-31262	218	35	transfer	transfer	NOUN
fcis-31262	218	36	stations	station	NOUN
fcis-31262	218	37	have	have	VERB
fcis-31262	218	38	reasonable	reasonable	ADJ
fcis-31262	218	39	transport	transport	NOUN
fcis-31262	218	40	route	route	NOUN
fcis-31262	218	41	lengths	length	NOUN
fcis-31262	218	42	(	(	PUNCT
fcis-31262	218	43	which	which	PRON
fcis-31262	218	44	can	can	AUX
fcis-31262	218	45	be	be	AUX
fcis-31262	218	46	modelled	model	VERB
fcis-31262	218	47	using	use	VERB
fcis-31262	218	48	the	the	DET
fcis-31262	218	49	shortest	short	ADJ
fcis-31262	218	50	path	path	NOUN
fcis-31262	218	51	or	or	CCONJ
fcis-31262	218	52	traffic	traffic	NOUN
fcis-31262	218	53	network	network	NOUN
fcis-31262	218	54	model	model	NOUN
fcis-31262	218	55	):	):	PUNCT
fcis-31262	218	56			PROPN
fcis-31262	218	57			PROPN
fcis-31262	218	58	(	(	PUNCT
fcis-31262	218	59	)	)	PUNCT
fcis-31262	218	60	,	,	PUNCT
fcis-31262	218	61	jk	jk	PROPN
fcis-31262	218	62	j	j	PROPN
fcis-31262	218	63	ktransportation	ktransportation	PROPN
fcis-31262	218	64	time	time	NOUN
fcis-31262	218	65	or	or	CCONJ
fcis-31262	218	66	distance	distance	NOUN
fcis-31262	218	67	t	t	X
fcis-31262	218	68	f	f	PROPN
fcis-31262	218	69	s	s	X
fcis-31262	218	70	p	p	X
fcis-31262	218	71	(	(	PUNCT
fcis-31262	218	72	30	30	NUM
fcis-31262	218	73	)	)	PUNCT
fcis-31262	218	74	in	in	ADP
fcis-31262	218	75	addition	addition	NOUN
fcis-31262	218	76	,	,	PUNCT
fcis-31262	218	77	optimisation	optimisation	NOUN
fcis-31262	218	78	can	can	AUX
fcis-31262	218	79	be	be	AUX
fcis-31262	218	80	performed	perform	VERB
fcis-31262	218	81	according	accord	VERB
fcis-31262	218	82	to	to	ADP
fcis-31262	218	83	each	each	DET
fcis-31262	218	84	type	type	NOUN
fcis-31262	218	85	of	of	ADP
fcis-31262	218	86	vehicle	vehicle	NOUN
fcis-31262	218	87	(	(	PUNCT
fcis-31262	218	88	such	such	ADJ
fcis-31262	218	89	as	as	ADP
fcis-31262	218	90	capacity	capacity	NOUN
fcis-31262	218	91	restrictions	restriction	NOUN
fcis-31262	218	92	,	,	PUNCT
fcis-31262	218	93	speed	speed	NOUN
fcis-31262	218	94	,	,	PUNCT
fcis-31262	218	95	etc	etc	X
fcis-31262	218	96	.	.	X
fcis-31262	218	97	)	)	PUNCT
fcis-31262	218	98	,	,	PUNCT
fcis-31262	218	99	specifically	specifically	ADV
fcis-31262	218	100	:	:	PUNCT
fcis-31262	218	101			PROPN
fcis-31262	218	102			PROPN
fcis-31262	218	103	,	,	PUNCT
fcis-31262	218	104	,	,	PUNCT
fcis-31262	218	105	jk	jk	PROPN
fcis-31262	218	106	j	j	PROPN
fcis-31262	218	107	kt	kt	PROPN
fcis-31262	218	108	f	f	PROPN
fcis-31262	218	109	s	s	PROPN
fcis-31262	218	110	p	p	PROPN
fcis-31262	218	111	vehicle	vehicle	NOUN
fcis-31262	218	112	type	type	NOUN
fcis-31262	218	113	(	(	PUNCT
fcis-31262	218	114	31	31	NUM
fcis-31262	218	115	)	)	PUNCT
fcis-31262	218	116	substitute	substitute	NOUN
fcis-31262	218	117	the	the	DET
fcis-31262	218	118	relevant	relevant	ADJ
fcis-31262	218	119	data	datum	NOUN
fcis-31262	218	120	into	into	ADP
fcis-31262	218	121	the	the	DET
fcis-31262	218	122	model	model	NOUN
fcis-31262	218	123	,	,	PUNCT
fcis-31262	218	124	and	and	CCONJ
fcis-31262	218	125	the	the	DET
fcis-31262	218	126	model	model	NOUN
fcis-31262	218	127	results	result	NOUN
fcis-31262	218	128	are	be	AUX
fcis-31262	218	129	shown	show	VERB
fcis-31262	218	130	in	in	ADP
fcis-31262	218	131	figure	figure	NOUN
fcis-31262	218	132	3	3	NUM
fcis-31262	218	133	:	:	PUNCT
fcis-31262	218	134	figure	figure	NOUN
fcis-31262	218	135	3	3	NUM
fcis-31262	218	136	.	.	PUNCT
fcis-31262	218	137	model	model	PROPN
fcis-31262	218	138	result	result	NOUN
fcis-31262	218	139	visualization	visualization	NOUN
fcis-31262	218	140	figure	figure	NOUN
fcis-31262	218	141	3(a	3(a	NUM
fcis-31262	218	142	)	)	PUNCT
fcis-31262	218	143	shows	show	VERB
fcis-31262	218	144	the	the	DET
fcis-31262	218	145	results	result	NOUN
fcis-31262	218	146	of	of	ADP
fcis-31262	218	147	the	the	DET
fcis-31262	218	148	k	k	NOUN
fcis-31262	218	149	-	-	PUNCT
fcis-31262	218	150	means	mean	VERB
fcis-31262	218	151	clustering	cluster	VERB
fcis-31262	218	152	algorithm	algorithm	NOUN
fcis-31262	218	153	for	for	ADP
fcis-31262	218	154	selecting	select	VERB
fcis-31262	218	155	transfer	transfer	NOUN
fcis-31262	218	156	station	station	NOUN
fcis-31262	218	157	locations	location	NOUN
fcis-31262	218	158	.	.	PUNCT
fcis-31262	219	1	the	the	DET
fcis-31262	219	2	black	black	ADJ
fcis-31262	219	3	‘	'	PUNCT
fcis-31262	219	4	x	x	NOUN
fcis-31262	219	5	’	'	PUNCT
fcis-31262	219	6	marks	mark	NOUN
fcis-31262	219	7	represent	represent	VERB
fcis-31262	219	8	the	the	DET
fcis-31262	219	9	centre	centre	NOUN
fcis-31262	219	10	of	of	ADP
fcis-31262	219	11	each	each	DET
fcis-31262	219	12	cluster	cluster	NOUN
fcis-31262	219	13	.	.	PUNCT
fcis-31262	220	1	figure	figure	NOUN
fcis-31262	220	2	3(b	3(b	NUM
fcis-31262	220	3	)	)	PUNCT
fcis-31262	220	4	shows	show	VERB
fcis-31262	220	5	the	the	DET
fcis-31262	220	6	results	result	NOUN
fcis-31262	220	7	of	of	ADP
fcis-31262	220	8	the	the	DET
fcis-31262	220	9	minimum	minimum	ADJ
fcis-31262	220	10	spanning	span	VERB
fcis-31262	220	11	tree	tree	NOUN
fcis-31262	220	12	(	(	PUNCT
fcis-31262	220	13	mst	mst	PROPN
fcis-31262	220	14	)	)	PUNCT
fcis-31262	220	15	,	,	PUNCT
fcis-31262	220	16	which	which	PRON
fcis-31262	220	17	illustrates	illustrate	VERB
fcis-31262	220	18	how	how	SCONJ
fcis-31262	220	19	to	to	PART
fcis-31262	220	20	optimise	optimise	VERB
fcis-31262	220	21	connections	connection	NOUN
fcis-31262	220	22	to	to	PART
fcis-31262	220	23	ensure	ensure	VERB
fcis-31262	220	24	the	the	DET
fcis-31262	220	25	shortest	short	ADJ
fcis-31262	220	26	total	total	ADJ
fcis-31262	220	27	path	path	NOUN
fcis-31262	220	28	length	length	NOUN
fcis-31262	220	29	.	.	PUNCT
fcis-31262	221	1	these	these	DET
fcis-31262	221	2	two	two	NUM
fcis-31262	221	3	figures	figure	NOUN
fcis-31262	221	4	present	present	VERB
fcis-31262	221	5	datadriven	datadriven	ADJ
fcis-31262	221	6	spatial	spatial	ADJ
fcis-31262	221	7	distributions	distribution	NOUN
fcis-31262	221	8	and	and	CCONJ
fcis-31262	221	9	optimisation	optimisation	NOUN
fcis-31262	221	10	schemes	scheme	NOUN
fcis-31262	221	11	,	,	PUNCT
fcis-31262	221	12	providing	provide	VERB
fcis-31262	221	13	visualised	visualise	VERB
fcis-31262	221	14	results	result	NOUN
fcis-31262	221	15	for	for	ADP
fcis-31262	221	16	both	both	DET
fcis-31262	221	17	clustering	cluster	VERB
fcis-31262	221	18	analysis	analysis	NOUN
fcis-31262	221	19	and	and	CCONJ
fcis-31262	221	20	path	path	NOUN
fcis-31262	221	21	optimisation	optimisation	NOUN
fcis-31262	221	22	,	,	PUNCT
fcis-31262	221	23	thereby	thereby	ADV
fcis-31262	221	24	facilitating	facilitate	VERB
fcis-31262	221	25	more	more	ADV
fcis-31262	221	26	informed	informed	ADJ
fcis-31262	221	27	decision	decision	NOUN
fcis-31262	221	28	-	-	PUNCT
fcis-31262	221	29	making	making	NOUN
fcis-31262	221	30	.	.	PUNCT
fcis-31262	222	1	5	5	X
fcis-31262	222	2	.	.	X
fcis-31262	222	3	conclusion	conclusion	NOUN
fcis-31262	222	4	this	this	DET
fcis-31262	222	5	study	study	NOUN
fcis-31262	222	6	systematically	systematically	ADV
fcis-31262	222	7	addresses	address	VERB
fcis-31262	222	8	the	the	DET
fcis-31262	222	9	path	path	NOUN
fcis-31262	222	10	optimisation	optimisation	NOUN
fcis-31262	222	11	and	and	CCONJ
fcis-31262	222	12	scheduling	scheduling	NOUN
fcis-31262	222	13	issues	issue	NOUN
fcis-31262	222	14	in	in	ADP
fcis-31262	222	15	urban	urban	ADJ
fcis-31262	222	16	waste	waste	NOUN
fcis-31262	222	17	sorting	sorting	NOUN
fcis-31262	222	18	and	and	CCONJ
fcis-31262	222	19	transportation	transportation	NOUN
fcis-31262	222	20	involving	involve	VERB
fcis-31262	222	21	single	single	ADJ
fcis-31262	222	22	vehicles	vehicle	NOUN
fcis-31262	222	23	,	,	PUNCT
fcis-31262	222	24	multi	multi	ADJ
fcis-31262	222	25	-	-	ADJ
fcis-31262	222	26	vehicle	vehicle	NOUN
fcis-31262	222	27	coordination	coordination	NOUN
fcis-31262	222	28	,	,	PUNCT
fcis-31262	222	29	and	and	CCONJ
fcis-31262	222	30	scenarios	scenario	NOUN
fcis-31262	222	31	involving	involve	VERB
fcis-31262	222	32	transfer	transfer	NOUN
fcis-31262	222	33	stations	station	NOUN
fcis-31262	222	34	by	by	ADP
fcis-31262	222	35	constructing	construct	VERB
fcis-31262	222	36	dynamic	dynamic	ADJ
fcis-31262	222	37	mathematical	mathematical	ADJ
fcis-31262	222	38	models	model	NOUN
fcis-31262	222	39	and	and	CCONJ
fcis-31262	222	40	efficient	efficient	ADJ
fcis-31262	222	41	algorithms	algorithm	NOUN
fcis-31262	222	42	.	.	PUNCT
fcis-31262	223	1	firstly	firstly	ADV
fcis-31262	223	2	,	,	PUNCT
fcis-31262	223	3	a	a	DET
fcis-31262	223	4	basic	basic	ADJ
fcis-31262	223	5	path	path	NOUN
fcis-31262	223	6	optimisation	optimisation	NOUN
fcis-31262	223	7	model	model	NOUN
fcis-31262	223	8	for	for	ADP
fcis-31262	223	9	singlevehicle	singlevehicle	NOUN
fcis-31262	223	10	scenarios	scenario	NOUN
fcis-31262	223	11	was	be	AUX
fcis-31262	223	12	developed	develop	VERB
fcis-31262	223	13	.	.	PUNCT
fcis-31262	224	1	by	by	ADP
fcis-31262	224	2	solving	solve	VERB
fcis-31262	224	3	a	a	DET
fcis-31262	224	4	mixed	mixed	ADJ
fcis-31262	224	5	-	-	PUNCT
fcis-31262	224	6	integer	integer	NOUN
fcis-31262	224	7	programming	programming	NOUN
fcis-31262	224	8	model	model	NOUN
fcis-31262	224	9	using	use	VERB
fcis-31262	224	10	a	a	DET
fcis-31262	224	11	greedy	greedy	ADJ
fcis-31262	224	12	algorithm	algorithm	NOUN
fcis-31262	224	13	,	,	PUNCT
fcis-31262	224	14	an	an	DET
fcis-31262	224	15	optimal	optimal	ADJ
fcis-31262	224	16	travel	travel	NOUN
fcis-31262	224	17	distance	distance	NOUN
fcis-31262	224	18	of	of	ADP
fcis-31262	224	19	198.3451	198.3451	NUM
fcis-31262	224	20	kilometers	kilometer	NOUN
fcis-31262	224	21	was	be	AUX
fcis-31262	224	22	achieved	achieve	VERB
fcis-31262	224	23	,	,	PUNCT
fcis-31262	224	24	validating	validate	VERB
fcis-31262	224	25	the	the	DET
fcis-31262	224	26	effectiveness	effectiveness	NOUN
fcis-31262	224	27	of	of	ADP
fcis-31262	224	28	clustering	clustering	NOUN
fcis-31262	224	29	and	and	CCONJ
fcis-31262	224	30	shortest	short	ADJ
fcis-31262	224	31	path	path	NOUN
fcis-31262	224	32	strategies	strategy	NOUN
fcis-31262	224	33	.	.	PUNCT
fcis-31262	225	1	second	second	ADJ
fcis-31262	225	2	,	,	PUNCT
fcis-31262	225	3	in	in	ADP
fcis-31262	225	4	multi	multi	ADJ
fcis-31262	225	5	-	-	ADJ
fcis-31262	225	6	vehicle	vehicle	NOUN
fcis-31262	225	7	coordination	coordination	NOUN
fcis-31262	225	8	scenarios	scenario	NOUN
fcis-31262	225	9	,	,	PUNCT
fcis-31262	225	10	a	a	DET
fcis-31262	225	11	multi	multi	ADJ
fcis-31262	225	12	-	-	ADJ
fcis-31262	225	13	objective	objective	ADJ
fcis-31262	225	14	mixed	mixed	ADJ
fcis-31262	225	15	-	-	PUNCT
fcis-31262	225	16	integer	integer	NOUN
fcis-31262	225	17	programming	programming	NOUN
fcis-31262	225	18	model	model	NOUN
fcis-31262	225	19	incorporating	incorporate	VERB
fcis-31262	225	20	carbon	carbon	NOUN
fcis-31262	225	21	costs	cost	NOUN
fcis-31262	225	22	was	be	AUX
fcis-31262	225	23	constructed	construct	VERB
fcis-31262	225	24	.	.	PUNCT
fcis-31262	226	1	the	the	DET
fcis-31262	226	2	optimal	optimal	ADJ
fcis-31262	226	3	total	total	ADJ
fcis-31262	226	4	cost	cost	NOUN
fcis-31262	226	5	was	be	AUX
fcis-31262	226	6	determined	determine	VERB
fcis-31262	226	7	using	use	VERB
fcis-31262	226	8	integer	integer	NOUN
fcis-31262	226	9	linear	linear	PROPN
fcis-31262	226	10	programming	programming	NOUN
fcis-31262	226	11	and	and	CCONJ
fcis-31262	226	12	a	a	DET
fcis-31262	226	13	genetic	genetic	ADJ
fcis-31262	226	14	algorithm	algorithm	NOUN
fcis-31262	226	15	.	.	PUNCT
fcis-31262	227	1	additionally	additionally	ADV
fcis-31262	227	2	,	,	PUNCT
fcis-31262	227	3	the	the	DET
fcis-31262	227	4	study	study	NOUN
fcis-31262	227	5	constructed	construct	VERB
fcis-31262	227	6	a	a	DET
fcis-31262	227	7	‘	'	PUNCT
fcis-31262	227	8	site	site	NOUN
fcis-31262	227	9	selection	selection	NOUN
fcis-31262	227	10	-	-	PUNCT
fcis-31262	227	11	route	route	NOUN
fcis-31262	227	12	-	-	PUNCT
fcis-31262	227	13	carbon	carbon	NOUN
fcis-31262	227	14	emissions	emission	NOUN
fcis-31262	227	15	’	'	PUNCT
fcis-31262	227	16	model	model	NOUN
fcis-31262	227	17	for	for	ADP
fcis-31262	227	18	scenarios	scenario	NOUN
fcis-31262	227	19	involving	involve	VERB
fcis-31262	227	20	transfer	transfer	NOUN
fcis-31262	227	21	stations	station	NOUN
fcis-31262	227	22	,	,	PUNCT
fcis-31262	227	23	using	use	VERB
fcis-31262	227	24	k	k	NOUN
fcis-31262	227	25	-	-	PUNCT
fcis-31262	227	26	means	means	NOUN
fcis-31262	227	27	clustering	clustering	NOUN
fcis-31262	227	28	and	and	CCONJ
fcis-31262	227	29	the	the	DET
fcis-31262	227	30	minimum	minimum	ADJ
fcis-31262	227	31	spanning	span	VERB
fcis-31262	227	32	tree	tree	NOUN
fcis-31262	227	33	algorithm	algorithm	NOUN
fcis-31262	227	34	to	to	PART
fcis-31262	227	35	reduce	reduce	VERB
fcis-31262	227	36	the	the	DET
fcis-31262	227	37	comprehensive	comprehensive	ADJ
fcis-31262	227	38	cost	cost	NOUN
fcis-31262	227	39	by	by	ADP
fcis-31262	227	40	12	12	NUM
fcis-31262	227	41	%	%	NOUN
fcis-31262	227	42	and	and	CCONJ
fcis-31262	227	43	clarify	clarify	VERB
fcis-31262	227	44	the	the	DET
fcis-31262	227	45	impact	impact	NOUN
fcis-31262	227	46	of	of	ADP
fcis-31262	227	47	asymmetric	asymmetric	ADJ
fcis-31262	227	48	road	road	NOUN
fcis-31262	227	49	networks	network	NOUN
fcis-31262	227	50	on	on	ADP
fcis-31262	227	51	algorithm	algorithm	NOUN
fcis-31262	227	52	efficiency	efficiency	NOUN
fcis-31262	227	53	.	.	PUNCT
fcis-31262	228	1	the	the	DET
fcis-31262	228	2	research	research	NOUN
fcis-31262	228	3	findings	finding	NOUN
fcis-31262	228	4	provide	provide	VERB
fcis-31262	228	5	directly	directly	ADV
fcis-31262	228	6	applicable	applicable	ADJ
fcis-31262	228	7	scientific	scientific	ADJ
fcis-31262	228	8	decision	decision	NOUN
fcis-31262	228	9	-	-	PUNCT
fcis-31262	228	10	making	make	VERB
fcis-31262	228	11	tools	tool	NOUN
fcis-31262	228	12	for	for	ADP
fcis-31262	228	13	urban	urban	ADJ
fcis-31262	228	14	waste	waste	NOUN
fcis-31262	228	15	collection	collection	NOUN
fcis-31262	228	16	and	and	CCONJ
fcis-31262	228	17	transportation	transportation	NOUN
fcis-31262	228	18	systems	system	NOUN
fcis-31262	228	19	,	,	PUNCT
fcis-31262	228	20	offering	offer	VERB
fcis-31262	228	21	practical	practical	ADJ
fcis-31262	228	22	value	value	NOUN
fcis-31262	228	23	in	in	ADP
fcis-31262	228	24	system	system	NOUN
fcis-31262	228	25	planning	planning	NOUN
fcis-31262	228	26	,	,	PUNCT
fcis-31262	228	27	vehicle	vehicle	NOUN
fcis-31262	228	28	scheduling	scheduling	NOUN
fcis-31262	228	29	,	,	PUNCT
fcis-31262	228	30	and	and	CCONJ
fcis-31262	228	31	transfer	transfer	NOUN
fcis-31262	228	32	station	station	NOUN
fcis-31262	228	33	layout	layout	NOUN
fcis-31262	228	34	optimisation	optimisation	NOUN
fcis-31262	228	35	,	,	PUNCT
fcis-31262	228	36	thereby	thereby	ADV
fcis-31262	228	37	effectively	effectively	ADV
fcis-31262	228	38	promoting	promote	VERB
fcis-31262	228	39	the	the	DET
fcis-31262	228	40	sustainable	sustainable	ADJ
fcis-31262	228	41	development	development	NOUN
fcis-31262	228	42	of	of	ADP
fcis-31262	228	43	urban	urban	ADJ
fcis-31262	228	44	solid	solid	ADJ
fcis-31262	228	45	waste	waste	NOUN
fcis-31262	228	46	management	management	NOUN
fcis-31262	228	47	under	under	ADP
fcis-31262	228	48	the	the	DET
fcis-31262	228	49	‘	'	PUNCT
fcis-31262	228	50	dual	dual	ADJ
fcis-31262	228	51	carbon	carbon	NOUN
fcis-31262	228	52	’	'	PUNCT
fcis-31262	228	53	goals	goal	NOUN
fcis-31262	228	54	.	.	PUNCT
fcis-31262	229	1	future	future	ADJ
fcis-31262	229	2	research	research	NOUN
fcis-31262	229	3	could	could	AUX
fcis-31262	229	4	further	far	ADV
fcis-31262	229	5	integrate	integrate	VERB
fcis-31262	229	6	real	real	ADJ
fcis-31262	229	7	-	-	PUNCT
fcis-31262	229	8	time	time	NOUN
fcis-31262	229	9	traffic	traffic	NOUN
fcis-31262	229	10	data	datum	NOUN
fcis-31262	229	11	and	and	CCONJ
fcis-31262	229	12	intelligent	intelligent	ADJ
fcis-31262	229	13	hardware	hardware	NOUN
fcis-31262	229	14	devices	device	NOUN
fcis-31262	229	15	to	to	PART
fcis-31262	229	16	drive	drive	VERB
fcis-31262	229	17	the	the	DET
fcis-31262	229	18	model	model	NOUN
fcis-31262	229	19	's	's	PART
fcis-31262	229	20	deep	deep	ADJ
fcis-31262	229	21	upgrade	upgrade	NOUN
fcis-31262	229	22	towards	towards	ADP
fcis-31262	229	23	dynamic	dynamic	ADJ
fcis-31262	229	24	and	and	CCONJ
fcis-31262	229	25	intelligent	intelligent	ADJ
fcis-31262	229	26	capabilities	capability	NOUN
fcis-31262	229	27	,	,	PUNCT
fcis-31262	229	28	better	well	ADV
fcis-31262	229	29	adapting	adapt	VERB
fcis-31262	229	30	to	to	ADP
fcis-31262	229	31	the	the	DET
fcis-31262	229	32	complex	complex	ADJ
fcis-31262	229	33	and	and	CCONJ
fcis-31262	229	34	ever	ever	ADV
fcis-31262	229	35	-	-	PUNCT
fcis-31262	229	36	changing	change	VERB
fcis-31262	229	37	urban	urban	ADJ
fcis-31262	229	38	waste	waste	NOUN
fcis-31262	229	39	collection	collection	NOUN
fcis-31262	229	40	and	and	CCONJ
fcis-31262	229	41	transportation	transportation	NOUN
fcis-31262	229	42	scenarios	scenario	NOUN
fcis-31262	229	43	.	.	PUNCT
fcis-31262	230	1	references	reference	NOUN
fcis-31262	230	2	[	[	X
fcis-31262	230	3	1	1	NUM
fcis-31262	230	4	]	]	X
fcis-31262	230	5	li	li	PROPN
fcis-31262	230	6	tingting	tingting	PROPN
fcis-31262	230	7	,	,	PUNCT
fcis-31262	230	8	deng	deng	PROPN
fcis-31262	230	9	shejun	shejun	PROPN
fcis-31262	230	10	,	,	PUNCT
fcis-31262	230	11	lu	lu	PROPN
fcis-31262	230	12	cao	cao	PROPN
fcis-31262	230	13	ye	ye	PROPN
fcis-31262	230	14	,	,	PUNCT
fcis-31262	230	15	et	et	PROPN
fcis-31262	230	16	al	al	PROPN
fcis-31262	230	17	.	.	PUNCT
fcis-31262	231	1	a	a	DET
fcis-31262	231	2	low	low	ADJ
fcis-31262	231	3	-	-	PUNCT
fcis-31262	231	4	carbon	carbon	NOUN
fcis-31262	231	5	collection	collection	NOUN
fcis-31262	231	6	and	and	CCONJ
fcis-31262	231	7	transportation	transportation	NOUN
fcis-31262	231	8	path	path	NOUN
fcis-31262	231	9	optimization	optimization	NOUN
fcis-31262	231	10	method	method	NOUN
fcis-31262	231	11	for	for	ADP
fcis-31262	231	12	garbage	garbage	NOUN
fcis-31262	231	13	vehicles	vehicle	NOUN
fcis-31262	231	14	based	base	VERB
fcis-31262	231	15	on	on	ADP
fcis-31262	231	16	an	an	DET
fcis-31262	231	17	improved	improve	VERB
fcis-31262	231	18	ant	ant	ADJ
fcis-31262	231	19	colony	colony	NOUN
fcis-31262	231	20	algorithm	algorithm	NOUN
fcis-31262	231	21	[	[	X
fcis-31262	231	22	j	j	X
fcis-31262	231	23	]	]	X
fcis-31262	231	24	.	.	PUNCT
fcis-31262	232	1	highway	highway	NOUN
fcis-31262	232	2	transportation	transportation	PROPN
fcis-31262	232	3	science	science	NOUN
fcis-31262	232	4	and	and	CCONJ
fcis-31262	232	5	technology	technology	NOUN
fcis-31262	232	6	,	,	PUNCT
fcis-31262	232	7	2023	2023	NUM
fcis-31262	232	8	,	,	PUNCT
fcis-31262	232	9	40	40	NUM
fcis-31262	232	10	(	(	PUNCT
fcis-31262	232	11	05	05	NUM
fcis-31262	232	12	):	):	PUNCT
fcis-31262	232	13	221	221	NUM
fcis-31262	232	14	-	-	SYM
fcis-31262	232	15	227	227	NUM
fcis-31262	232	16	+	+	NOUN
fcis-31262	232	17	246	246	NUM
fcis-31262	232	18	.	.	PUNCT
fcis-31262	233	1	[	[	X
fcis-31262	233	2	2	2	NUM
fcis-31262	233	3	]	]	PUNCT
fcis-31262	233	4	mou	mou	PROPN
fcis-31262	233	5	nengyi	nengyi	PROPN
fcis-31262	233	6	,	,	PUNCT
fcis-31262	233	7	cheng	cheng	PROPN
fcis-31262	233	8	chiyao	chiyao	PROPN
fcis-31262	233	9	,	,	PUNCT
fcis-31262	233	10	jiang	jiang	PROPN
fcis-31262	233	11	erwei	erwei	PROPN
fcis-31262	233	12	,	,	PUNCT
fcis-31262	233	13	et	et	PROPN
fcis-31262	233	14	al	al	PROPN
fcis-31262	233	15	.	.	PUNCT
fcis-31262	233	16	optimization	optimization	NOUN
fcis-31262	233	17	of	of	ADP
fcis-31262	233	18	urban	urban	ADJ
fcis-31262	233	19	household	household	NOUN
fcis-31262	233	20	waste	waste	PROPN
fcis-31262	233	21	classification	classification	NOUN
fcis-31262	233	22	transportation	transportation	NOUN
fcis-31262	233	23	routes	route	NOUN
fcis-31262	233	24	based	base	VERB
fcis-31262	233	25	on	on	ADP
fcis-31262	233	26	multiple	multiple	ADJ
fcis-31262	233	27	vehicle	vehicle	NOUN
fcis-31262	233	28	types	type	NOUN
fcis-31262	233	29	and	and	CCONJ
fcis-31262	233	30	multiple	multiple	ADJ
fcis-31262	233	31	trips	trip	NOUN
fcis-31262	233	32	[	[	X
fcis-31262	233	33	j	j	X
fcis-31262	233	34	]	]	X
fcis-31262	233	35	.	.	PUNCT
fcis-31262	234	1	journal	journal	PROPN
fcis-31262	234	2	of	of	ADP
fcis-31262	234	3	safety	safety	NOUN
fcis-31262	234	4	and	and	CCONJ
fcis-31262	234	5	environment	environment	NOUN
fcis-31262	234	6	,	,	PUNCT
fcis-31262	234	7	2022	2022	NUM
fcis-31262	234	8	,	,	PUNCT
fcis-31262	234	9	22	22	NUM
fcis-31262	234	10	(	(	PUNCT
fcis-31262	234	11	04	04	NUM
fcis-31262	234	12	):	):	PUNCT
fcis-31262	234	13	2199	2199	NUM
fcis-31262	234	14	-	-	SYM
fcis-31262	234	15	2208	2208	NUM
fcis-31262	234	16	.	.	PUNCT
fcis-31262	235	1	[	[	X
fcis-31262	235	2	3	3	X
fcis-31262	235	3	]	]	X
fcis-31262	235	4	zhang	zhang	PROPN
fcis-31262	235	5	can	can	AUX
fcis-31262	235	6	,	,	PUNCT
fcis-31262	235	7	ma	ma	PROPN
fcis-31262	235	8	zhiyan	zhiyan	PROPN
fcis-31262	235	9	,	,	PUNCT
fcis-31262	235	10	cheng	cheng	PROPN
fcis-31262	235	11	yuan	yuan	PROPN
fcis-31262	235	12	,	,	PUNCT
fcis-31262	235	13	et	et	PROPN
fcis-31262	235	14	al	al	PROPN
fcis-31262	235	15	.	.	PROPN
fcis-31262	235	16	obstacle	obstacle	PROPN
fcis-31262	235	17	avoidance	avoidance	PROPN
fcis-31262	235	18	path	path	NOUN
fcis-31262	235	19	planning	planning	NOUN
fcis-31262	235	20	for	for	ADP
fcis-31262	235	21	robotic	robotic	ADJ
fcis-31262	235	22	arms	arm	NOUN
fcis-31262	235	23	using	use	VERB
fcis-31262	235	24	a	a	DET
fcis-31262	235	25	fusion	fusion	NOUN
fcis-31262	235	26	of	of	ADP
fcis-31262	235	27	greedy	greedy	ADJ
fcis-31262	235	28	algorithm	algorithm	NOUN
fcis-31262	235	29	and	and	CCONJ
fcis-31262	235	30	improved	improve	VERB
fcis-31262	235	31	rrt	rrt	NOUN
fcis-31262	236	1	[	[	X
fcis-31262	236	2	j	j	X
fcis-31262	236	3	]	]	X
fcis-31262	236	4	.	.	PUNCT
fcis-31262	237	1	mechanical	mechanical	ADJ
fcis-31262	237	2	design	design	NOUN
fcis-31262	237	3	and	and	CCONJ
fcis-31262	237	4	research	research	NOUN
fcis-31262	237	5	,	,	PUNCT
fcis-31262	237	6	2024	2024	NUM
fcis-31262	237	7	,	,	PUNCT
fcis-31262	237	8	40	40	NUM
fcis-31262	237	9	(	(	PUNCT
fcis-31262	237	10	03	03	NUM
fcis-31262	237	11	):	):	PUNCT
fcis-31262	237	12	92	92	NUM
fcis-31262	237	13	-	-	SYM
fcis-31262	237	14	96	96	NUM
fcis-31262	237	15	.	.	PUNCT
fcis-31262	238	1	[	[	X
fcis-31262	238	2	4	4	X
fcis-31262	238	3	]	]	X
fcis-31262	238	4	wang	wang	PROPN
fcis-31262	238	5	lei	lei	PROPN
fcis-31262	238	6	,	,	PUNCT
fcis-31262	238	7	wang	wang	PROPN
fcis-31262	238	8	yixuan	yixuan	PROPN
fcis-31262	238	9	,	,	PUNCT
fcis-31262	238	10	li	li	PROPN
fcis-31262	238	11	dongdong	dongdong	PROPN
fcis-31262	238	12	,	,	PUNCT
fcis-31262	238	13	et	et	PROPN
fcis-31262	238	14	al	al	PROPN
fcis-31262	238	15	.	.	PROPN
fcis-31262	238	16	research	research	NOUN
fcis-31262	238	17	on	on	ADP
fcis-31262	238	18	path	path	NOUN
fcis-31262	238	19	planning	planning	NOUN
fcis-31262	238	20	for	for	ADP
fcis-31262	238	21	mobile	mobile	ADJ
fcis-31262	238	22	robots	robot	NOUN
fcis-31262	238	23	based	base	VERB
fcis-31262	238	24	on	on	ADP
fcis-31262	238	25	an	an	DET
fcis-31262	238	26	improved	improved	ADJ
fcis-31262	238	27	genetic	genetic	ADJ
fcis-31262	238	28	algorithm	algorithm	NOUN
fcis-31262	238	29	[	[	X
fcis-31262	238	30	j	j	X
fcis-31262	238	31	]	]	X
fcis-31262	238	32	.	.	PUNCT
fcis-31262	239	1	journal	journal	PROPN
fcis-31262	239	2	of	of	ADP
fcis-31262	239	3	huazhong	huazhong	PROPN
fcis-31262	239	4	university	university	PROPN
fcis-31262	239	5	of	of	ADP
fcis-31262	239	6	science	science	NOUN
fcis-31262	239	7	and	and	CCONJ
fcis-31262	239	8	technology	technology	NOUN
fcis-31262	239	9	(	(	PUNCT
fcis-31262	239	10	natural	natural	ADJ
fcis-31262	239	11	science	science	NOUN
fcis-31262	239	12	edition	edition	NOUN
fcis-31262	239	13	)	)	PUNCT
fcis-31262	239	14	,	,	PUNCT
fcis-31262	239	15	2024	2024	NUM
fcis-31262	239	16	,	,	PUNCT
fcis-31262	239	17	52	52	NUM
fcis-31262	239	18	(	(	PUNCT
fcis-31262	239	19	05	05	NUM
fcis-31262	239	20	):	):	PUNCT
fcis-31262	239	21	158	158	NUM
fcis-31262	239	22	-	-	SYM
fcis-31262	239	23	164	164	NUM
fcis-31262	239	24	.	.	PUNCT
fcis-31262	240	1	[	[	X
fcis-31262	240	2	5	5	X
fcis-31262	240	3	]	]	X
fcis-31262	240	4	huang	huang	PROPN
fcis-31262	240	5	mutuo	mutuo	PROPN
fcis-31262	240	6	,	,	PUNCT
fcis-31262	240	7	xing	xing	PROPN
fcis-31262	240	8	fangfei	fangfei	PROPN
fcis-31262	240	9	,	,	PUNCT
fcis-31262	240	10	chen	chen	PROPN
fcis-31262	240	11	xingbang	xingbang	PROPN
fcis-31262	240	12	,	,	PUNCT
fcis-31262	240	13	et	et	PROPN
fcis-31262	240	14	al	al	PROPN
fcis-31262	240	15	.	.	PROPN
fcis-31262	240	16	shortterm	shortterm	PROPN
fcis-31262	240	17	photovoltaic	photovoltaic	PROPN
fcis-31262	240	18	power	power	NOUN
fcis-31262	240	19	prediction	prediction	NOUN
fcis-31262	240	20	based	base	VERB
fcis-31262	240	21	on	on	ADP
fcis-31262	240	22	a	a	DET
fcis-31262	240	23	combination	combination	NOUN
fcis-31262	240	24	of	of	ADP
fcis-31262	240	25	k	k	NOUN
fcis-31262	240	26	-	-	PUNCT
fcis-31262	240	27	means	mean	VERB
fcis-31262	240	28	clustering	clustering	NOUN
fcis-31262	240	29	and	and	CCONJ
fcis-31262	240	30	extreme	extreme	ADJ
fcis-31262	240	31	learning	learn	VERB
fcis-31262	240	32	machine	machine	NOUN
fcis-31262	240	33	algorithms	algorithm	NOUN
fcis-31262	241	1	[	[	X
fcis-31262	241	2	j	j	X
fcis-31262	241	3	]	]	X
fcis-31262	241	4	.	.	PUNCT
fcis-31262	242	1	hydropower	hydropower	NOUN
fcis-31262	242	2	and	and	CCONJ
fcis-31262	242	3	energy	energy	NOUN
fcis-31262	242	4	science	science	NOUN
fcis-31262	242	5	,	,	PUNCT
fcis-31262	242	6	2024	2024	NUM
fcis-31262	242	7	,	,	PUNCT
fcis-31262	242	8	42	42	NUM
fcis-31262	242	9	(	(	PUNCT
fcis-31262	242	10	02	02	NUM
fcis-31262	242	11	):	):	PUNCT
fcis-31262	242	12	217	217	NUM
fcis-31262	242	13	-	-	SYM
fcis-31262	242	14	220	220	NUM
fcis-31262	242	15	+	+	NOUN
fcis-31262	242	16	216	216	NUM
fcis-31262	242	17	.	.	PUNCT
fcis-31262	243	1	[	[	X
fcis-31262	243	2	6	6	NUM
fcis-31262	243	3	]	]	PUNCT
fcis-31262	243	4	wang	wang	PROPN
fcis-31262	243	5	daolai	daolai	PROPN
fcis-31262	243	6	,	,	PUNCT
fcis-31262	243	7	han	han	PROPN
fcis-31262	243	8	yang	yang	PROPN
fcis-31262	243	9	.	.	PUNCT
fcis-31262	244	1	a	a	DET
fcis-31262	244	2	minimum	minimum	ADJ
fcis-31262	244	3	spanning	span	VERB
fcis-31262	244	4	tree	tree	NOUN
fcis-31262	244	5	matching	matching	NOUN
fcis-31262	244	6	algorithm	algorithm	NOUN
fcis-31262	244	7	based	base	VERB
fcis-31262	244	8	on	on	ADP
fcis-31262	244	9	improved	improved	ADJ
fcis-31262	244	10	matching	matching	NOUN
fcis-31262	244	11	cost	cost	NOUN
fcis-31262	244	12	and	and	CCONJ
fcis-31262	244	13	mean	mean	VERB
fcis-31262	244	14	segmentation	segmentation	NOUN
fcis-31262	245	1	[	[	X
fcis-31262	245	2	j	j	X
fcis-31262	245	3	]	]	X
fcis-31262	245	4	.	.	PUNCT
fcis-31262	246	1	advances	advance	NOUN
fcis-31262	246	2	in	in	ADP
fcis-31262	246	3	laser	laser	NOUN
fcis-31262	246	4	and	and	CCONJ
fcis-31262	246	5	optoelectronics	optoelectronic	NOUN
fcis-31262	246	6	,	,	PUNCT
fcis-31262	246	7	2023	2023	NUM
fcis-31262	246	8	,	,	PUNCT
fcis-31262	246	9	60	60	NUM
fcis-31262	246	10	(	(	PUNCT
fcis-31262	246	11	04	04	NUM
fcis-31262	246	12	):	):	PUNCT
fcis-31262	246	13	333	333	NUM
fcis-31262	246	14	-	-	SYM
fcis-31262	246	15	342	342	NUM
fcis-31262	246	16	.	.	PUNCT