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ACP-Based Control and Management of Urban Rail Transportation Systems
March/April 2011 (vol. 26 no. 2)
pp. 84-88
Bin Ning, Beijing Jiaotong University
Hai-Rong Dong, Beijing Jiaotong University
Ding Wen, National University of Defense Technology, China
Lefei Li, Tsinghua University
Chang-Jian Cheng, Chinese Academy of Sciences

Urban rail transportation (URT) has long become the preferred public transportation choice for major metropolitans such as New York, London, Paris, Moscow, Tokyo, and Beijing. Although there has been extensive studies and practices in many aspects of URT, with the extensive involvement of human-related factors (passengers, administrators, drivers, and so on) as well as social, economical, and environmental factors, traditional methods, either based on mathematical models or using application-specific simulation, become incapable of describing and analyzing this complex system. To address issues of safety, efficient, and reliability, the authors present a novel parallel system for URT operations based on the ACP method. By establishing a parallel URT system, they can analyze and facilitate passenger-flow management, vehicle scheduling, and other operational issues while considering human-related, environmental, and others social and economical factors.

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Index Terms:
Intelligent transportation systems, intelligent systems, urban rail transportation, agent modeling
Citation:
Bin Ning, Hai-Rong Dong, Ding Wen, Lefei Li, Chang-Jian Cheng, "ACP-Based Control and Management of Urban Rail Transportation Systems," IEEE Intelligent Systems, vol. 26, no. 2, pp. 84-88, March-April 2011, doi:10.1109/MIS.2011.25
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