中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 先进控制与自动化团队
Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies

文献类型：期刊论文

作者Dong, Hairong4; Liu, Xuan4; Zhou, Min4; Zheng, Wei5; Xun, Jing4; Gao, Shigen4; Song, Haifeng1; Li, Yidong2; Wang, Fei-Yue3
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期2021-11-08
页码9
关键词Rail transportation Control systems Delays Dispatching Trajectory Wind Optimization Carrying capacity emergencies high-speed railways (HSRs) integration online rescheduling train control
ISSN号2329-924X
DOI10.1109/TCSS.2021.3119944
通讯作者Zhou, Min(zhoumin@bjtu.edu.cn)
英文摘要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.
WOS关键词TIME TRAFFIC MANAGEMENT ; TRAJECTORY OPTIMIZATION ; NETWORKS
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]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000733509400001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
源URL[http://ir.ia.ac.cn/handle/173211/46998]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Zhou, Min
作者单位1.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
3.Chinese Acad Sci CASIA, Inst Automat, State Key Lab Management & Control Complex Syst S, Beijing 100190, Peoples R China
4.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
5.Beijing Jiaotong Univ, Natl Res Ctr Railway Safety Assessment, Beijing 100044, 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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。