The customized bus plays an important role in catering the special needs of bus travel. The optimization method of customized bus route planning was studied considering the time windows of passengers. The arrival time of customized bus at stops were converted to equivalent bus travel distances. Taking the minimum weighted cost of the bus operator, passengers travel, and exhaust pollution, a customized bus route planning model based on the time windows of passengers was developed. The ant colony algorithm was designed to obtain a feasible solution of the planning model. Then, Q-learning algorithm based on action model approximation was designed to optimize the feasible solution. The environment model was mapped into a two-dimensional raster model, the action space was set, and the reward and punishment functions were designed. The results show that the optimized bus line can screen out the service stops, and the comprehensive cost is reduced by 20.2%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Customized Bus Route Optimization Based on Reinforcement Learning


    Beteiligte:
    Wang, Ange (Autor:in) / Peng, Liqun (Autor:in) / Qin, Zhengtao (Autor:in) / Guan, Hongzhi (Autor:in) / Nie, Chuhao (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 2904-2915


    Erscheinungsdatum :

    2020-08-12




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    CUSTOMIZED ROUTE TRACKING

    NANDA SACHAL / HOGAN GREG / ZHANG JENNIFER JULIA et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Customized route tracking

    NANDA SACHAL / HOGAN GREG / ZHANG JENNIFER JULIA et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Customized route tracking

    NANDA SACHAL / HOGAN GREG / ZHANG JENNIFER JULIA et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Reinforcement Learning for Vehicle Route Optimization in SUMO

    Koh, Song Sang / Zhou, Bo / Yang, Po et al. | IEEE | 2018


    Customized Bus Route Optimization with the Real-Time Data

    Kai Huang / Lin Xu / Yao Chen et al. | DOAJ | 2020

    Freier Zugriff