Slack time allocation, heterogeneity of train paths, and capacity utilization have great impact on the reliability of train timetable. Aiming at the factor of slack time allocation, we proposed a two-stage stochastic programming with recourse model to optimize slack time allocation in train timetable on high-speed passenger dedicated lines (PDL), in which the first-stage model formalizes the slack time allocation in the train timetabling phase, while the second-stage model simulates the execution of train timetable with consideration of "train dispatching" behaviors. A genetic algorithm was designed and implemented to solve the mathematical model. Numerical experiments were conducted to test effects of the proposed method. The results show that slack time allocation has great impact on the train timetable reliability and the presented method in this paper could improve the quality of slack time allocation by 10 % on average.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimizing Slack Time Allocation in Train Timetable: A Two-Stage Stochastic Recourse Model


    Beteiligte:
    Niu, Yong-tao (Autor:in) / Meng, Ling-Yun (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    8 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    A Method for Optimizing Slack Time for High-Speed Railway Train Timetable

    Liu, Fei / Meng, Lingyun / Miao, Jianrui et al. | Springer Verlag | 2024


    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 the train timetable for a subway system

    Le, Zhao / Li, Keping / Ye, Jingjing et al. | SAGE Publications | 2015