In this paper, we present a comprehensive, in-depth survey of the literature on reinforcement learning approaches to ridesharing problems. Papers on the topics of rideshare matching, vehicle repositioning, ride-pooling, and dynamic pricing are covered. Popular data sets and open simulation environments are also introduced. Subsequently, we discuss a number of challenges and opportunities for reinforcement learning research on this important domain.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Reinforcement Learning for Ridesharing: A Survey


    Beteiligte:
    Qin, Zhiwei Tony (Autor:in) / Zhu, Hongtu (Autor:in) / Ye, Jieping (Autor:in)


    Erscheinungsdatum :

    2021-09-19


    Format / Umfang :

    311581 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Reinforcement learning for ridesharing: An extended survey

    Qin, Zhiwei (Tony) / Zhu, Hongtu / Ye, Jieping | Elsevier | 2022


    RIDESHARING SUPPORT SYSTEM, RIDESHARING SUPPORT METHOD, AND RIDESHARING SUPPORT DEVICE

    MORIOKA WATARU | Europäisches Patentamt | 2019

    Freier Zugriff

    Ridesharing management device, ridesharing management method, and program

    FUJIMOTO NAOTOSHI / ITO YO / IWAMOTO SUSUMU et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Ridesharing 1981

    D. W. Wiersig / F. W. Davis / D. A. Burkhalter et al. | NTIS | 1982


    RIDESHARING MANAGEMENT DEVICE, RIDESHARING MANAGEMENT METHOD, AND PROGRAM

    FUJIMOTO NAOTOSHI / ITO YO / IWAMOTO SUSUMU et al. | Europäisches Patentamt | 2020

    Freier Zugriff