Recently, the urban rail transit enters the era of network operation and there may be multiple paths between two stations for passengers to choose. This paper takes Nanjing metro as an example, based on the historical data of the AFC system. Based on the historical data of the AFC system, the OD passenger flow of each period is allocated to the effective path set by combining the clustering analysis method and attraction coefficient method. By iterating the passenger flow in each section of the urban rail transit network, the real-time estimation of cross-section passenger flow is realized.


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    Titel :

    Passenger Flow Estimation of Urban Rail Transit Section Based on Cluster Analysis


    Beteiligte:
    Ren, Gang (Autor:in) / Zhu, Xing (Autor:in) / Cao, Qi (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 110-121


    Erscheinungsdatum :

    12.08.2020




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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