This paper proposes a new marshaling method for assembling an outgoing train. In the proposed method, each set of freight cars that have the same destination make a group, and the desirable group layout constitutes the best outgoing train. The incoming freight cars are classified into several ``sub-tracks'' searching better assignment in order to reduce the transfer distance of locomotive. Classifications and marshaling plans based on the transfer distance of a locomotive are obtained autonomously by a reinforcement learning system. Then, the number of sub-tracks utilized in the classification is determined by the learning system in order to yield generalization capability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A New Reinforcement Learning for Train Marshaling with Generalization Capability



    Erschienen in:

    Erscheinungsdatum :

    2014-06-19


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Commutation circuit, flexible marshaling unit and flexible marshaling method

    WU MINGYANG / ZHANG CHUNYU / GAO CHUNHAI | Europäisches Patentamt | 2022

    Freier Zugriff

    Train control system compatible method based on virtual marshaling

    OU DONGXIU / JI YUQING / LIU YIXIAO et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Train automatic marshaling method based on train vehicle-mounted wireless network equipment

    WU GUANGSHENG | Europäisches Patentamt | 2015

    Freier Zugriff

    Online coupling method and online un-marshaling method for train

    CHEN YI / ZHENG WANYUN / XIAO MENG et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Optimization of Classification Track Assignment Considering Block Sequence at Train Marshaling Yard

    Yingqun Zhang / Rui Song / Shiwei He et al. | DOAJ | 2018

    Freier Zugriff