Urban railway is used widely because of its big capacity, little pollution, safety, and speediness. The volume of passengers is still increasing constantly and subways become overcrowd. In particular in the morning and evening peak period, the number of passengers increased sharply, accidents may happen easily, for example congestion and trample. In order to guarantee the safety of passengers and the efficient operation of the train, to improve the quality of urban railway service, some measures should be used to control the passenger flow in large stations, especially in transfer stations. This paper analyzes the characteristics of urban railway transfer station and discusses deeply about the principles of passengers' path, then put forward the model of passenger flow control on peak through analyzing the model of passenger path.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Path Choice for Passengers of Subway Station During Peak Hour


    Contributors:
    Xin, Xiaomin (author) / Xu, Jie (author) / Guo, Jianyuan (author) / Jia, Limin (author) / Qin, Yong (author) / Kang, Yashu (author)


    Publication date :

    2014


    Size :

    8 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    METHOD FOR GUIDING PASSENGERS AT ENTRANCES OF SUBWAY STATION

    JIN XUNENG | European Patent Office | 2022

    Free access

    Nonlinear Model-Based Subway Station-Level Peak-Hour Ridership Estimation Approach in the Context of Peak Deviation

    Wei, Jie / Cheng, Yanqiu / Chen, Kuanmin et al. | Transportation Research Record | 2022


    Subway passengers Distributed Systems

    KIM MOO SHANG / AN SANG WOO / KIM KI CHUL et al. | European Patent Office | 2017

    Free access

    Peak-Hour Subway Passenger Flow Forecasting: A Tensor Based Approach

    Pan, Pingjun / Wang, Haiyang / Li, Longyuan et al. | IEEE | 2018


    A Time-Based Subway Passengers’ Route Choice Model Using AFC Data

    Wen, Di / Li, Junjie / Wei, Feifei | Springer Verlag | 2018