Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling
Dong, Hairong1; Zhu, Hainan1; Li, Yidong2; Lv, Yisheng3,4; Gao, Shigen1; Zhang, Qi5; Ning, Bin1
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
2018-12-01
卷号48期号:12页码:3381-3389
通讯作者Dong, Hairong(hrdong@bjtu.edu.cn)
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.
关键词ACP approach high-speed railway system (HRS) integrated operation control and dynamic scheduling parallel intelligent system
DOI10.1109/TCYB.2018.2852772
关键词[WOS]TRAINS ; TIME ; MANAGEMENT ; BLOCKAGE ; STRATEGY
收录类别SCI
语种英语
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]
项目资助者Fundamental Research Funds for Central Universities ; National Natural Science Foundation of China ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000450613100011
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:1[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/173211/22573
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
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
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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.
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