Automatic fare collection (AFC) systems record both time and location information when a passenger enters or leaves the urban subway system. Using this data, this paper analyzed the travel time components including access time, platform wait time, transfer time, egress time, and in-vehicle time, as well as their corresponding distribution functions. Using this data, a time-dependent graphical model was created in order to estimate passenger time-space paths within an urban subway network. Based on subway train timetables, the time-extended network model produces feasible time-space paths. A time-space path sheds light on traveler movements throughout activity network. The proposed methodology provides a way to analyze subway passenger behavior, which can serve as a reference for dynamic traffic flow assignment for urban subway networks.


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    Titel :

    Estimating Subway Passenger Paths Using Automatic Fare Collection Data


    Beteiligte:
    Chen, Xing (Autor:in) / Zhou, Leishan (Autor:in) / Tang, Jinjin (Autor:in) / Tong, Lu (Autor:in)

    Kongress:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Erschienen in:

    CICTP 2017 ; 1783-1792


    Erscheinungsdatum :

    2018-01-18




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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