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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    Title :

    Estimating Subway Passenger Paths Using Automatic Fare Collection Data


    Contributors:
    Chen, Xing (author) / Zhou, Leishan (author) / Tang, Jinjin (author) / Tong, Lu (author)

    Conference:

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


    Published in:

    CICTP 2017 ; 1783-1792


    Publication date :

    2018-01-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English