Questionnaires are the traditional solution to obtain samples of urban rail passengers' route choice, but large-scale questionnaires are required to obtain a sufficient number of valid samples to calibrate a discrete choice model. The rail travel trajectory data of cell phone users provide a large amount of real travel data, which provides a new method to obtain rail route choice samples. Based on cell phone users' rail travel trajectory data, we propose a route choice model of rail passengers. First, this paper analyzes the issues and effects of the midway point loss of the track data of cell phone users, and explains the necessity of developing a discrete choice model. Second, this paper proposes a Logit model, and then describes the route travel time calculation method and the route choice dataset generation method, the latter of which fully considers the disadvantages and advantages of cell phone data. The model is calibrated and the result is evaluated based on the trajectory data of cell phone users in Shenzhen. The results show that the model proposed in this paper has high accuracy and can be utilized in actual rail passenger flow assignment.


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    Titel :

    Urban rail transit route choice model using mobile phone user’s trajectory data


    Beteiligte:
    Yu, Zijuan (Autor:in) / Li, Qiang (Autor:in) / Zhang, Xiaochun (Autor:in)

    Kongress:

    International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021) ; 2021 ; Zhengzhou,China


    Erschienen in:

    Proc. SPIE ; 12165


    Erscheinungsdatum :

    14.03.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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