In rapidly growing transportation networks, traffic congestion can result from inefficient traffic control infrastructure or ineffective traffic control measures. Existing congestion management techniques in Intelligent Transportation Systems (ITS) have not been very effective due to lack of autonomous and collaborative behavior of the constituent traffic control entities involved in these techniques. Moreover, these entities cannot easily adapt to the traffic dynamics and the traffic control intelligence is mostly centralised making it susceptible to overload and failures. The autonomous and distributed nature of multi-agent systems is well-suited to the transportation domain which is dynamic and geographically distributed. This paper reviews existing congestion management techniques and discusses their limitations. The paper, further, comprehensively surveys multi-agent techniques for congestion management in ITS and describes their advantages over other existing techniques. The paper classifies the multi-agent techniques based on the locus of decision control intelligence and focuses on their suitability of application in congestion management. We conclude with outstanding issues and challenges.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-agent based vehicular congestion management


    Contributors:
    Desai, P. (author) / Loke, S. W. (author) / Desai, A. (author) / Singh, J. (author)


    Publication date :

    2011-06-01


    Size :

    572243 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multi-Agent Based Vehicular Congestion Management

    Desai, P. / Loke, S.W. / Desai, A. et al. | British Library Conference Proceedings | 2011


    Congestion relief vehicular system

    Vignesh, R. S. / Muthu, Rajesh | IEEE | 2017


    Vehicle traffic congestion management in vehicular ad-hoc networks

    Mohandas, Brijesh Kadri / Liscano, Ramiro / Yang, Oliver | Tema Archive | 2009


    Multi-Flow Congestion-Aware Routing in Software-Defined Vehicular Networks

    Di Maio, Antonio / Palattella, Maria Rita / Engel, Thomas | IEEE | 2019