Urban traffic problems including traffic accidents and traffic congestion or jams have been very serious for us. Urban traffic flow simulation has been important for making new control strategies that can reduce traffic jams. In this paper, we propose a method that can dynamically control traffic signals by equivalently representing as the constraint satisfaction problem, CSP. To solve local congestion in each intersection, we define the whole system as multi- agent systems where the represented CSP is extended to distributed CSP, DCSP, in each of which variable is distributed among each intersection agent. Each intersection agent determines some signal parameters by solving the DCSP. The proposed method is implemented on our separately developed agent-oriented urban traffic simulator and applied to some roadnetworks, whose experimental simulations demonstrated that our method can effectively reduce traffic jams even in the roadnetworks where traffic jams are liable to occur.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Urban traffic signal control based on distributed constraint satisfaction


    Contributors:
    Mizuno, K. (author) / Fukui, Y. (author) / Nishihara, S. (author)


    Publication date :

    2008


    Size :

    10 Seiten, 26 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






    Distributed Stochastic MPC Traffic Signal Control for Urban Networks

    Pham, Viet Hoang / Ahn, Hyo-Sung | IEEE | 2023


    Queuing Local Solutions in Distributed Constraint Satisfaction Systems

    Mueller, R. / Havens, W. S. / Canadian Society for Computational Studies of Intelligence | British Library Conference Proceedings | 2005


    On Distributed Traffic Signal Control

    Prikryl, Jan / Novotny, Jakub / midl, Vaclav | IEEE | 2015