Skip-stop operation is a low cost approach to improving the efficiency of metro operation and passenger travel experience. This paper proposes a novel method to optimize the skip-stop scheme for bidirectional metro lines so that the average passenger travel time can be minimized. Different from the conventional “A/B” scheme, the proposed Flexible Skip-Stop Scheme (FSSS) can better accommodate spatially and temporally varied passenger demand. A genetic algorithm (GA) based approach is then developed to efficiently search for the optimal solution. A case study is conducted based on a real world bidirectional metro line in Shenzhen, China, using the time-dependent passenger demand extracted from smart card data. It is found that the optimized skip-stop operation is able to reduce the average passenger travel time and transit agencies may benefit from this scheme due to energy and operational cost savings. Analyses are made to evaluate the effects of that fact that certain number of passengers fail to board the right train (due to skip operation). Results show that FSSS always outperforms the all-stop scheme even when most passengers of the skipped OD pairs are confused and cannot get on the right train.


    Access

    Download


    Export, share and cite



    Title :

    Optimized Skip-Stop Metro Line Operation Using Smart Card Data


    Contributors:
    Peitong Zhang (author) / Zhanbo Sun (author) / Xiaobo Liu (author)


    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Robust and optimized urban rail timetabling using a marshaling plan and skip-stop operation

    Cao, Zhichao / Ceder, Avishai (Avi) / Li, Dewei et al. | Taylor & Francis Verlag | 2020


    Moscow Metro smart card

    Marchenko, A. | British Library Conference Proceedings | 2002


    Recognizing metro-bus transfers from smart card data

    Zhao, De / Wang, Wei / Li, Chenyang et al. | Taylor & Francis Verlag | 2019



    Optimization Model of Operation Plan of Urban Single-Line Rail Transit Using Stop-Skip Strategy

    Zhao, Junru / Yang, Guixin / Te, Juncheng Li et al. | ASCE | 2020