Parallel Dispatching: An ACP-Based High-Speed Railway Intelligent Dispatching System
文献类型:期刊论文
作者 | Xu, Wei1,2; Zhao, Chen3,4![]() ![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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出版日期 | 2024 |
卷号 | 9期号:1页码:1146-1160 |
关键词 | Dispatching Rail transportation Personnel Maintenance engineering Intelligent vehicles Behavioral sciences Safety Cyber-physical-social systems (CPSS) artificial systems computational experiments parallel execution ACP decentralized distributed autonomous operations and organi zations (DAO) high-speed railway dispatching systems |
ISSN号 | 2379-8858 |
DOI | 10.1109/TIV.2023.3305536 |
通讯作者 | Yuan, Zhiming(zhiming.yuan@caa.org.cn) ; Lv, Yisheng(yisheng.lv@ia.ac.cn) |
英文摘要 | The antiquated method of train dispatching relying solely on dispatchers' knowledge is unable to meet the need for rapid response and effective solutions in emergency situations. This article proposes an ACP method (Artificial System, Computational Experiment, and Parallel Execution) to explore the potential of automating the management of high-speed railway trains. A parallel high-speed railway dispatching system is created, comprised of an actual system and its artificial counterpart. Various computational experiments were conducted to investigate the effects of different factors on high-speed railway dispatching, and the results were used to devise an optimal train operation adjustment scheme and strategies. Through the parallel operations and virtual-real interactions between the artificial dispatching system and the actual dispatching system, dispatchers are able to execute the most effective strategies, and achieve optimal control of the high-speed railway system. This technique eliminates the difficulty in managing the complex network of high-speed railway dispatching, ensuring that emergency commands are issued quickly and efficiently. |
WOS关键词 | TRAFFIC MANAGEMENT ; ALGORITHM ; NETWORKS ; TRAINS |
资助项目 | National Natural Science Foundation of China[61790573] ; National Natural Science Foundation of China[61790575] ; Center of National Railway Intelligent Transportation System Engineering and Technology[RITS2019KF03] ; China Academy of Railway Sciences Corporation Limited ; China Railway Project[L2022X002] ; China Railway Project[N2019G020] ; Key Project of Science and Technology Research Plan of China Academy of Railway Sciences Group Company Ltd.[2022YJ326] |
WOS研究方向 | Computer Science ; Engineering ; Transportation |
语种 | 英语 |
WOS记录号 | WOS:001173317800101 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China ; Center of National Railway Intelligent Transportation System Engineering and Technology ; China Academy of Railway Sciences Corporation Limited ; China Railway Project ; Key Project of Science and Technology Research Plan of China Academy of Railway Sciences Group Company Ltd. |
源URL | [http://ir.ia.ac.cn/handle/173211/58773] ![]() |
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 | Yuan, Zhiming; Lv, Yisheng |
作者单位 | 1.Macao Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China 2.China Acad Railway Sci, Signal & Commun Res Inst, Beijing 100081, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China 5.North Automat Control Technol Inst, Taiyuan 030006, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Wei,Zhao, Chen,Dai, Xingyuan,et al. Parallel Dispatching: An ACP-Based High-Speed Railway Intelligent Dispatching System[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(1):1146-1160. |
APA | Xu, Wei.,Zhao, Chen.,Dai, Xingyuan.,Yuan, Zhiming.,Zhang, Tao.,...&Lv, Yisheng.(2024).Parallel Dispatching: An ACP-Based High-Speed Railway Intelligent Dispatching System.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(1),1146-1160. |
MLA | Xu, Wei,et al."Parallel Dispatching: An ACP-Based High-Speed Railway Intelligent Dispatching System".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.1(2024):1146-1160. |
入库方式: OAI收割
来源:自动化研究所
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