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Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model

机译:Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model

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摘要

During the last twenty years, the complex network modeling approach has been introduced to assess the reliability of rail transit networks, in which the dynamic performance involving passenger flows have attracted more attentions during operation stages recently. This paper proposes the passenger-flow-weighted network reliability evaluation indexes, to assess the impact of passenger flows on network reliability. The reliability performances of the rail transit network and passenger-flow-weighted one are analyzed from the perspective of a complex network. The actual passenger flow weight of urban transit network nodes was obtained from the Shanghai Metro public transportation card data, which were used to assess the reliability of the passenger-flow-weighted network. Furthermore, the dynamic model of the Shanghai urban rail transit network was constructed based on the coupled map lattice (CML) model. Then, the processes of cascading failure caused by network nodes under different destructive situations were simulated, to measure the changes of passenger-flow-weighted network reliability during the processes. The results indicate that when the scale of network damage attains 50, the reliability of the passenger-flow-weighted network approaches zero. Consequently, taking countermeasures during the initial stage of network cascading may effectively prevent the disturbances from spreading in the network. The results of the paper could provide guidelines for operation management, as well as identify the unreliable stations within passenger-flow-weighted networks.

著录项

  • 来源
    《Journal of advanced transportation》 |2021年第3期|5548956.1-5548956.9|共9页
  • 作者单位

    Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China;

    Ulanqab Vocat Coll, Ulanqab 012000, Inner Mongolia, Peoples R China;

    Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R ChinaShijiazhuang Tiedao Univ, Transportat Sch, Shijiazhuang 050043, Hebei, Peoples R ChinaShanghai Jiao Tong Univ, Smart City & Intelligent Transportat SCIT Ctr, Sch Design, Shanghai 200240, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
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