Rail transit plays an increasingly important role in the public transportation system, and effectively reducing its headway is of great practical significance. An optimization method is proposed to minimize headway of mainline in moving block by comprehensively considering trip time. A particle swarm optimization (PSO) algorithm is developed to search for optimized points and value of speed limit. The developed model is applied to a particular segment of metro in Shanghai. Simulation results demonstrate that, although there was a mite increase of trip time which was negligible, the method could effectively reduce headway of mainline in moving block.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimization of train headway in moving block based on a particle swarm optimization algorithm


    Beteiligte:
    Xu, Ling (Autor:in) / Zhao, Xia (Autor:in) / Tao, Yifan (Autor:in) / Zhang, Qiongyan (Autor:in) / Liu, Xun (Autor:in)


    Erscheinungsdatum :

    01.12.2014


    Format / Umfang :

    131073 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Analysis of minimum train headway on a moving block system by a genetic algorithm

    Nakamura, H. / Wessex Institute of Technology | British Library Conference Proceedings | 1998


    Calculation and Optimization of Minimum Headway in Moving Block System

    Gao, Hao / Zhang, Yadong / Guo, Jin | IEEE | 2020


    Moving Block Shortens JLE Headway

    Studiengesellschaft für den kombinierten Verkehr e.V. | IuD Bahn | 1997


    Optimization Design of Gear Train Based on Particle Swarm Optimization Algorithm

    Wu, Chang-Wei / Wu, Yong-hai / Ma, Cong-Bin et al. | Tema Archiv | 2013