In high-speed railways, the sunset-departure and sunrise-arrival trains (SDSA-trains) have become the primary choice of many inter-city travelers. However, optimization of SDSA-trains is very challenging due to the consideration of regular maintenance at night in high-speed railways. By considering the disturbances of maintenance activities in real-world, this paper proposes a two-stage stochastic programming model to optimize a robust train scheduling for SDSA-trains. Specifically, in the first stage, we aim to decide the departure time from the origin and the arrival time at destination station for SDSA-trains, while minimizing the total arrival time. In the second stage, we consider the maintenance disturbances to generate a robust train schedule by adjusting the stop patterns, train orders, and the assignment of tracks. Some linearization techniques are used for the nonlinear constraints. Finally, a real-world instance based on the Beijing-Guangzhou high-speed railway corridors is conducted to show the effectiveness of our approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Robust Optimization Approach for Trains Schedule Problem under Uncertain Maintenance Plans


    Beteiligte:
    Ji, Hangyu (Autor:in) / Yin, Jiateng (Autor:in) / Ma, Lin (Autor:in)


    Erscheinungsdatum :

    08.10.2022


    Format / Umfang :

    379489 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Simultaneous schedule of trains and track maintenance according to stochastic blockage time

    Bababeik, Mostafa / Farjadamin, Mohammad / Khademi, Navid et al. | Taylor & Francis Verlag | 2022


    MAINTENANCE INSPECTION SCHEDULE OPTIMIZATION DEVICE

    TAKEYAMA KAZUNORI | Europäisches Patentamt | 2018

    Freier Zugriff


    SNCF plans new trains and routes

    British Library Online Contents | 2003