In order to provide a satisfying quality of service to passengers, companies operating suburban trains seek to implement timetables that perform well despite the occurrence of random disturbances. However, due to some specificities of Mass Transit, the standard approaches for robust train timetabling do not apply in that context. In this paper, we present a data-based stochastic simulation method for assessing the efficiency of train timetables for dense traffic areas. We describe models for the random variabilities that occur daily on such networks, and use them in a stochastic simulation algorithm. Results are presented on a saturated line of Paris suburban network.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Assessing train timetable efficiency in a Mass Transit context using a data-based simulation method


    Beteiligte:


    Erscheinungsdatum :

    2020-09-20


    Format / Umfang :

    392874 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Train timetable generation system, train timetable generation device, and train timetable generation method

    YASUMOTO MASAHIRO / HORI SATORU / SHIMURA AKITOSHI | Europäisches Patentamt | 2015

    Freier Zugriff

    Optimizing Timetable Synchronization for Rail Mass Transit

    Wong, Rachel C.W. | Online Contents | 2008


    Optimizing Timetable Synchronization for Rail Mass Transit

    Wong, R.C.W. / Yuen, T.W.Y. / Fung, K.W. et al. | British Library Online Contents | 2008


    XML-Based Transit Timetable System

    Sun, W. / Bernstein, D. / Transportation Research Board | British Library Conference Proceedings | 2002


    The Study on Urban Rail Transit Train Operation Simulation System Based on Timetable Control

    Xu, F. / Han, B. M. / Yin, H. D. | British Library Conference Proceedings | 2015