The passenger demand for urban rail transit is dynamic and different for working days, weekends, and holidays. Train timetables that adapt to different and dynamic passenger demand can improve the capacity and efficiency of urban rail transit and meet the needs of passengers. This paper first analyzes the characteristics of the passenger demand and then formulate a model with the objective to minimize the user cost and operating cost under constraints of train operations and the passenger boarding and alighting process. The proposed model is examined through a real-world case solved by an improved simulated annealing algorithm that adjusts train number, train running time, train dwell time, and departure and arrival times at each station. It then analyses characteristics of the train timetable under different passenger demand, such as train load factor in each section and remaining passenger number, which is useful to operational management in the subway system.


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    Titel :

    Optimization for Urban Rail Timetable under Dynamic Passenger Demand on Different Days


    Beteiligte:
    Qiao, Yu (Autor:in) / Shao, Chunfu (Autor:in) / Zhang, Tianyu (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2017 ; 1845-1854


    Erscheinungsdatum :

    18.01.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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