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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    Titel :

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


    Beteiligte:
    Hu, Yongkai (Autor:in) / Yang, Binbin (Autor:in) / Ji, Xiangfeng (Autor:in) / Zhang, Jian (Autor:in) / Nie, Jianqiang (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2014 ; 396-405


    Erscheinungsdatum :

    24.06.2014




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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