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Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling | |
Dong, Hairong1; Zhu, Hainan1; Li, Yidong2; Lv, Yisheng3,4![]() | |
发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS
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ISSN | 2168-2267 |
2018-12-01 | |
卷号 | 48期号:12页码:3381-3389 |
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 |
DOI | 10.1109/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 | State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University[RCS2018ZZ005] ; National Natural Science Foundation of China[61703033] ; National Natural Science Foundation of China[61790573] ; Fundamental Research Funds for Central Universities[2018JBZ002] ; 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 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/22573 |
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 | 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2018Dong.pdf(2373KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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