Highlights This study predicts the time-and-space-dependent flow for high-speed rail network. The passenger flow pattern is ticket-booking-time-dependent. An algorithm is designed for solving the passenger flow assignment model. The model and algorithm are applied on the large-scale rail network of China.

    Abstract This study models spatiotemporal passenger flow distribution for high-speed railway (HSR) networks with capacity constraints. The HSR travel demand involves two time-dimensions, i.e., the ticket booking time and the desired departure time. Under the principle of first-booked-first-served, a passenger flow assignment model is formulated, where a later ticket booking time may result in less available travel options. A solution algorithm is then designed for solving the ticket-booking-time-dependent assignment model. The model is tested and illustrated with two numerical examples: a toy network example and a large-scale Chinese HSR network example.


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    Title :

    A double time-scale passenger assignment model for high-speed railway networks with continuum capacity approximation


    Contributors:
    Xu, Guangming (author) / Liu, Wei (author) / Wu, Runfa (author) / Yang, Hai (author)


    Publication date :

    2021-03-20




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English