This paper presents an optimization method based on auxiliary decision support to optimize last train timetable. Firstly, a path searching algorithm is designed based on multi-objective programming by combining the K-th optimal path searching algorithm with the limit of the last train schedule. Based on the analysis of the passenger OD demand, the passenger flow is assigned into transit network under the condition of last train schedule. Secondly, we define the accessible rate of network and the number of transfer failure and use them as the evaluation indices to evaluate the last train’s operation coordination. And on this basis, rail transit lines and stations are sorted according to the passenger OD demand, and then combine the coordination evaluation and optimization as the auxiliary decision support in to optimize last train timetable. Finally, Beijing subway is analyzed and suggestions for improvement in Beijing subway last train operation plan are put forward.


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    Title :

    A Method for Optimizing the Last Train Timetable in Urban Rail Transit Based on Auxiliary Decision Support


    Contributors:
    Qu, Zhen (author) / Shi, Jing (author)

    Conference:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Published in:

    CICTP 2015 ; 1612-1622


    Publication date :

    2015-07-13




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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