This paper presents an urban traffic control system using the multi-agent technology, called aDAPTS for agent-based Distributed and Adaptive Platform for Transportation Systems. Based on the proposed system architecture, we divide an urban traffic system into five different functional modules and define five types of agents correspondingly. The composition and structure of each agent is discussed in detail and the correlation among them is addressed. Methods for verification and validation in artificial transportation systems are also studied in this paper.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Urban Traffic Control System Based on Mobile Multi-Agents


    Contributors:
    Li, Zhenjiang (author) / Wang, Fei-Yue (author) / Miao, Qinghai (author) / He, Feng (author)


    Publication date :

    2006-12-01


    Size :

    7460913 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archive | 2007


    Urban Traffic Control Based on Learning Agents

    Gregoire, Pierre-Luc / Desjardins, Charles / Laumonier, Julien et al. | IEEE | 2007


    Urban traffic signal control using reinforcement learning agents

    Balaji, P.G. / German, X. / Srinivasan, D. | IET | 2010


    Optimizing multi-agent based urban traffic signal control system

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


    Using intelligent agents for dynamic urban traffic control systems

    Roozemond, D. A. / Association for European Transport | British Library Conference Proceedings | 1999