Chapter
Jul 2, 2019
Urban Rail Transit Station Carrying Capacity Analysis and Calculation
Authors: Hanxuan Dong [email protected], Qiangqiang Li [email protected], Xu Qu [email protected], Jian Zhang [email protected], Hanchu Li [email protected], and Bin Ran [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
Describing the traffic characteristics of pedestrians and analyzing station carrying capacity is important for station design planning and operation management. Therefore this paper analyzes the characteristics of pedestrian traffic and behavior and proposes the concepts of station basic carrying capacity and station inbound capacity. The definition and calculation method of station basic carrying capacity and station inbound capacity is then proposed. There is a large gap between the solution of the model by using analytical methods and actual analysis, so this paper proposes the simulation algorithm based on a “stress test” by using Anylogic software. Station bottlenecks are found to provide suggestions for station pedestrian flow control. Finally, this paper uses the Xiaozhai station as an example to study and analyze station carrying capacity; results show the basic and inbound carrying capacity is 6,042 person and 37,000 per/h, verifying the validity and practicability of the model algorithm.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things, Southeast Univ., Nanjing, China. E-mail: [email protected]
Highway College, Transportation Planning and Management, Chang’an Univ., Middle Section of S. 2nd Ring Rd., Xi’an, Shaanxi, China. E-mail: [email protected]
Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things, Southeast Univ., Nanjing, China. E-mail: [email protected]
Joint Research Institute on Internet of Mobility, Southeast Univ., Nanjing, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things, Southeast Univ., Nanjing, China. E-mail: [email protected]
Joint Research Institute on Internet of Mobility, Southeast Univ., Nanjing, China. E-mail: [email protected]
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