A concentration of people attracted to urban areas or large events raises demand for crowd traffic control systems. Such systems need to achieve a collective control for dealing with the crowd interacting with each other, as well as a flexible control for managing the traffic depending on application scenarios such as swift passage on streets or safety-guaranteed traffic. This paper presents a Bayesian optimization (BO) approach using a multi-agent simulation for efficiently finding a control of traffic: the multi-agent simulation considers the interaction of people changing their routes for a collective control, whereas the black-box nature of BO is capable of replacing the optimization metric for different scenarios without algorithmic modification to achieve flexible traffic management. Experiments use two maps: synthetic grid-like streets and the Enoshima Coast firework festival site in Japan. In both cases, the results demonstrate that our traffic control is effective for optimizing various metrics such as an efficiency-oriented arrival rate, a safety-oriented low traffic rate, and their combination.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation


    Beteiligte:
    Otsuka, Takuma (Autor:in) / Shimizu, Hitoshi (Autor:in) / Iwata, Tomoharu (Autor:in) / Naya, Futoshi (Autor:in) / Sawada, Hiroshi (Autor:in) / Ueda, Naonori (Autor:in)


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    1477852 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-agent based road traffic control optimization

    Withanawasam, Jayani / Karunananda, Asoka | IEEE | 2017


    Multi-agent simulation model of pedestrians crowd based on psychological theories

    Beltaief, O. / El Hadouaj, S. / Ghedira, K. | IEEE | 2011


    CROWD SOURCED TRAFFIC REPORTING

    GUEZIEC ANDRE | Europäisches Patentamt | 2017

    Freier Zugriff

    CROWD SOURCED TRAFFIC REPORTING

    GUEZIEC ANDRE | Europäisches Patentamt | 2018

    Freier Zugriff

    Multi-agent traffic simulation with CUDA

    Strippgen, David / Nagel, Kai | Tema Archiv | 2009