id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-1465	Liu, Yingxian	Study on optimization of bus scheduling	2022	3	.pdf	application/pdf	2346	122	48	Overview of bus scheduling problem The main research content of this paper is mainly three parts, one is the data mining of public transportation big data, the second is to propose an improved genetic algorithm to solve the problem of intelligent bus scheduling, and the third is to develop the intelligent bus scheduling system. The optimization of bus scheduling can improve the service quality and benefit passengers, and also reduce the input cost of bus companies.	cache/fcis-1465.pdf	txt/fcis-1465.txt