With the continuous acceleration of urban rail transit construction mileage and the opening of existing extension lines, the demand for metro vehicles on the extended lines has also increased accordingly. However, in the actual vehicle configuration, there is room for optimization of the number of vehicles allocation on each line. By analyzing the relevant factors affecting the assignment of metro vehicles, including signal system, passenger flow conditions, maintenance mode, passenger flow organization and passenger flow development theory, comprehensively consider the length of the line, the speed of the train, the turn-back time of the train, and the interval between trains, construct a metro vehicles allocation model based on capacity demand and vehicle maintenance. Taking the extension of subway line M in a certain city as the research object, through the “four-stage method”, predict the passenger flow, and analysis the key factors including the maximum cross-section passenger flow in the peak hour of metro and the mixed running of long and short routing in the case city, the allocation plan is obtained according to the allocation model. Compared with the original plan allocation plan, the train line rate is increased and the vehicle cost is reduced. Verifies the effectiveness and practicability of the vehicle model based on capacity and maintenance.


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    Titel :

    Research on Metro Vehicles Allocation Based on Capacity and Maintenance Model


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Wu, Jianping (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Li, Ruimin (Herausgeber:in) / Zhang, Haodong (Herausgeber:in) / Gao, Fang (Autor:in) / Xu, Yongneng (Autor:in) / Zhang, Jue (Autor:in) / Tan, Zhonglin (Autor:in)

    Kongress:

    International Conference on Green Intelligent Transportation System and Safety ; 2021 November 19, 2021 - November 21, 2021



    Erscheinungsdatum :

    2022-10-28


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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