Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies

doi:10.1109/TCSS.2021.3119944

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies
	Dong, Hairong 1; Liu, Xuan 1; Zhou, Min1 ; Zheng, Wei 2; Xun, Jing 1; Gao, Shigen 1; Song, Haifeng 3; Li, Yidong 4; Wang, Fei-Yue5
发表期刊	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
ISSN	2329-924X
	2021-11-08
页码	9
通讯作者	Zhou, Min(zhoumin@bjtu.edu.cn)
摘要	The high-speed train control system is essential to the safety and efficiency of train operation. With the rapid increase of high-speed railway (HSR) operating mileage and development of information technology, the disposal flow and methods in emergency response are still based on dispatchers and drivers' experience within the ``layered'' architecture of current system. There is a certain gap between current processing methods and effective resolution, which may even cause the spread of delay along with the railway networks. Therefore, we propose an integration system of operation control and online rescheduling to improve the recovery ability of HSR carrying capacity. We first describe the framework, information flow, and disposal process of the current system and analyze the shortcomings in handling emergencies. Then, the basic concept, system structure, and framework of the integration system are introduced. Finally, taking temporary speed restriction caused by strong wind as an example, we also analyze the principle of why and how the integration system can promote the recovery ability of HSR carrying capacity.
关键词	Rail transportation Control systems Delays Dispatching Trajectory Wind Optimization Carrying capacity emergencies high-speed railways (HSRs) integration online rescheduling train control
DOI	10.1109/TCSS.2021.3119944
关键词[WOS]	TIME TRAFFIC MANAGEMENT ; TRAJECTORY OPTIMIZATION ; NETWORKS
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61790573] ; National Natural Science Foundation of China[61925302] ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University[RCS2020ZZ002]
项目资助者	National Natural Science Foundation of China ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics ; Computer Science, Information Systems
WOS记录号	WOS:000733509400001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46999
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Zhou, Min
作者单位	1.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 2.Beijing Jiaotong Univ, Natl Res Ctr Railway Safety Assessment, Beijing 100044, Peoples R China 3.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China 4.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 5.Chinese Acad Sci CASIA, Inst Automat, State Key Lab Management & Control Complex Syst S, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Dong, Hairong,Liu, Xuan,Zhou, Min,et al. Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021:9.
APA	Dong, Hairong.,Liu, Xuan.,Zhou, Min.,Zheng, Wei.,Xun, Jing.,...&Wang, Fei-Yue.(2021).Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,9.
MLA	Dong, Hairong,et al."Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2021):9.