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

doi:10.1016/j.jclepro.2023.140427

IOCAS-IR

	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 2; Zhou, Jixu 3
	2024-01-15
发表期刊	JOURNAL OF CLEANER PRODUCTION
ISSN	0959-6526
卷号	437 页码:20
通讯作者	He, Deqiang(hdqlqy@gxu.edu.cn)
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.
关键词	Energy conservation Passenger waiting time Metro systems
DOI	10.1016/j.jclepro.2023.140427
收录类别	SCI
语种	英语
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研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS记录号	WOS:001164014200001
出版者	ELSEVIER SCI LTD
WOS关键词	REINFORCEMENT LEARNING APPROACH ; TIMETABLE OPTIMIZATION ; OPERATION ; SUBWAY ; CONSTRAINTS ; EFFICIENCY ; ALGORITHM ; SYSTEMS ; DESIGN
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/184485
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.Zhuzhou CRRC Times Elect Co Ltd, Zhuzhou 412001, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, 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.