Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling

doi:10.1109/TCYB.2018.2852772

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling
	Dong, Hairong 1; Zhu, Hainan 1; Li, Yidong 2; Lv, Yisheng3,4 ; Gao, Shigen 1; Zhang, Qi 5; Ning, Bin 1
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2018-12-01
卷号	48 期号:12 页码:3381-3389
关键词	ACP approach high-speed railway system (HRS) integrated operation control and dynamic scheduling parallel intelligent system
ISSN号	2168-2267
DOI	10.1109/TCYB.2018.2852772
通讯作者	Dong, Hairong(hrdong@bjtu.edu.cn)
英文摘要	The information exchange gap between current operation control and dynamic scheduling in high-speed railway systems (HRSs) still exists, and this gap has hindered the further integrative improvement of HRSs. This paper aims to explore a feasible solution to bridging the information exchange gap for further improving the efficiency of HRSs, with the parallel intelligent systems for integrated HRS operation control and dynamic scheduling first analyzed and constructed using the ACP approach, that is, "artificial systems" (A), "computational experiments," (C) and "parallel execution" (P). Then, on the basis of the constructed parallel intelligent systems, experiments on several typical scenarios in HRSs are conducted to achieve a set of control and management strategies for actual HRSs. Experimental results show that a number of powerful tools provided by the proposed parallel intelligent systems can be utilized not only to study the current HRSs, but also to further undertake research on integrated operation control and dynamic scheduling for HRSs.
资助项目	Fundamental Research Funds for Central Universities[2018JBZ002] ; National Natural Science Foundation of China[61790573] ; National Natural Science Foundation of China[61703033] ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University[RCS2018ZZ005]
WOS关键词	TRAINS ; TIME ; MANAGEMENT ; BLOCKAGE ; STRATEGY
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000450613100011
资助机构	Fundamental Research Funds for Central Universities ; National Natural Science Foundation of China ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/22572]
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	Dong, Hairong
作者单位	1.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Qingdao Acad Intelligent Ind, Parallel Traff Innovat Technol Ctr, Qingdao 266109, Peoples R China 5.China Acad Railway Sci, Signal & Commun Res Inst, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Dong, Hairong,Zhu, Hainan,Li, Yidong,et al. Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(12):3381-3389.
APA	Dong, Hairong.,Zhu, Hainan.,Li, Yidong.,Lv, Yisheng.,Gao, Shigen.,...&Ning, Bin.(2018).Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling.IEEE TRANSACTIONS ON CYBERNETICS,48(12),3381-3389.
MLA	Dong, Hairong,et al."Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling".IEEE TRANSACTIONS ON CYBERNETICS 48.12(2018):3381-3389.