A bi-objective optimization model of metro trains considering energy conservation and passenger waiting time

doi:10.1016/j.jclepro.2023.140427

CORC > 海洋研究所 > 中国科学院海洋研究所

	A bi-objective optimization model of metro trains considering energy conservation and passenger waiting time
	Sun, Zheng 1; He, Deqiang 1; He, Yan 1; Shan, Sheng 3; Zhou, Jixu 2
刊名	JOURNAL OF CLEANER PRODUCTION
	2024-01-15
卷号	437 页码:20
关键词	Energy conservation Passenger waiting time Metro systems
ISSN号	0959-6526
DOI	10.1016/j.jclepro.2023.140427
通讯作者	He, Deqiang(hdqlqy@gxu.edu.cn)
英文摘要	Continuous growth of energy consumption for metro systems has raised the public's concern. Meanwhile, both operators and passengers pursue for efficient metro services, especially during peak hours. This paper aims at designing a bi-objective optimization model and a new solution approach so that the energy conservation of metro trains and less passenger waiting time can be achieved. Firstly, considering complex routes, a multiparticle train operation model with the objectives of punctuality, parking accuracy, energy efficiency and safety provided is established for the minimization of traction energy consumption through investigating the optimal force coefficients and coast positions, while suitable dwell times and headway times of metro trains are found trough building a timetable model, which balances the regenerative energy, transfer and non-transfer passenger waiting time. Secondly, a deep reinforcement learning (DRL) and non-dominated sorting genetic algorithm II (NSGA-II) based two-layer solution approach is introduced for model calculation. Finally, comparison shows that the proposed model can achieve the energy conservation of metro trains by 9.16% with passenger waiting time decreased by 15.88%. More experiments further demonstrate the superiority of the developed model and solution approach.
资助项目	National Natural Science Foundation of China[U22A2053] ; Major Project of Science and Technology of Guangxi Province of China[AA23073019] ; Guangxi Manufacturing Systems and Advanced Manufacturing Technology Key Laboratory Director Fund[21-050-44-S015] ; Shandong Provincial Natural Science Foundation[No.ZR2020QF056] ; Innovation Project of Guangxi Graduate Education[YCBZ2023039]
WOS关键词	REINFORCEMENT LEARNING APPROACH ; TIMETABLE OPTIMIZATION ; OPERATION ; SUBWAY ; CONSTRAINTS ; EFFICIENCY ; ALGORITHM ; SYSTEMS ; DESIGN
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:001164014200001
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/184484]
专题	中国科学院海洋研究所
通讯作者	He, Deqiang
作者单位	1.Guangxi Univ, Sch Mech Engn, State Key Lab Featured Met Mat & Lifecycle Safety, Guangxi Key Lab Mfg Syst & Adv Mfg Technol, Nanning 530004, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 3.Zhuzhou CRRC Times Elect Co Ltd, Zhuzhou 412001, Peoples R China
推荐引用方式 GB/T 7714	Sun, Zheng,He, Deqiang,He, Yan,et al. A bi-objective optimization model of metro trains considering energy conservation and passenger waiting time[J]. JOURNAL OF CLEANER PRODUCTION,2024,437:20.
APA	Sun, Zheng,He, Deqiang,He, Yan,Shan, Sheng,&Zhou, Jixu.(2024).A bi-objective optimization model of metro trains considering energy conservation and passenger waiting time.JOURNAL OF CLEANER PRODUCTION,437,20.
MLA	Sun, Zheng,et al."A bi-objective optimization model of metro trains considering energy conservation and passenger waiting time".JOURNAL OF CLEANER PRODUCTION 437(2024):20.