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
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
2018-12-01
Volume48Issue:12Pages:3381-3389
Corresponding AuthorDong, Hairong(hrdong@bjtu.edu.cn)
AbstractThe 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.
KeywordACP approach high-speed railway system (HRS) integrated operation control and dynamic scheduling parallel intelligent system
DOI10.1109/TCYB.2018.2852772
WOS KeywordTRAINS ; TIME ; MANAGEMENT ; BLOCKAGE ; STRATEGY
Indexed BySCI
Language英语
Funding ProjectFundamental 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]
Funding OrganizationFundamental Research Funds for Central Universities ; National Natural Science Foundation of China ; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000450613100011
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22573
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorDong, Hairong
Affiliation1.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
Recommended Citation
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.
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