Dynamic changes and uncertainty in traffic environments directly spawned lots of strategies about traffic signal control (TSC). Meanwhile, the differences in the traffic environment and demand of control have a significant impact on the performance of strategies about TSC. In order to enable dynamic selection of the most appropriate TSC agents for each specific traffic state in urban traffic transportation system, we firstly propose a survey about urban TSC, which helps us to understand the characteristics of TSC strategies. This survey focuses on the traffic environment about the application of TSC and the demand of TSC. Then, based on the aforementioned survey, we propose one recommendation mechanism for agent-based distributed and adaptive platform for transportation systems to adapt to traffic dynamic characteristic.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A survey of urban traffic signal control for agent recommendation system


    Beteiligte:
    Chen, Cheng (Autor:in) / Zhu, Fenghua (Autor:in) / Ai, Yunfeng (Autor:in)


    Erscheinungsdatum :

    2012-09-01


    Format / Umfang :

    1002163 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Optimizing multi-agent based urban traffic signal control system

    Xu, Mingtao / An, Kun / Vu, Le Hai et al. | Taylor & Francis Verlag | 2019


    Signal control scheme recommendation method and system for saturated urban traffic network

    RONG DINGDING / JIN JUNCHEN / WU YUE et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    ACTAM: cooperative multi-agent system architecture for urban traffic signal control

    Chen, Ruey-Shun / Chen, Duen-Kai / Lin, Szu-Yin | Tema Archiv | 2005


    Content-Based Recommendation for Traffic Signal Control

    Zhao, Y. F. / Wang, F. Y. / Gao, H. et al. | IEEE | 2015


    Urban intelligent traffic signal control system

    WANG FEIWEN | Europäisches Patentamt | 2015

    Freier Zugriff