The subway is an important transportation mode in large cities. Subway operators need travel behavior data of subway passengers to improve their service level. In this paper, a traffic collection method based on wireless communication technology is reviewed and compared. A method to derive information from cell-ID and HO data based on the special settlement of underground mobile communication base stations is proposed. The passenger volume and travel time - in both the subway network and subway station - can be drawn, which will support the operation management and travel navigation.


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    Title :

    Deriving Travel Behavior Data of Urban Subway Passengers from Mobile Phone Network


    Contributors:
    Hu, Yongkai (author) / Yang, Binbin (author) / Ji, Xiangfeng (author) / Zhang, Jian (author) / Nie, Jianqiang (author)

    Conference:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Published in:

    CICTP 2014 ; 396-405


    Publication date :

    2014-06-24




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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