The traffic behaviours of commuters may cause traffic congestion during peak hours. Advanced Traffic Information System can provide dynamic information to travellers. Due to the lack of timeliness and comprehensiveness, the provided information cannot satisfy the travellers’ needs. Since the assumptions of traditional route choice model based on Expected Utility Theory conflict with the actual situation, a route choice model based on Game Theory is proposed to provide reliable route choice to commuters in actual situation in this paper. The proposed model treats the alternative routes as game players and utilizes the precision of predicted information and familiarity of traffic condition to build a game. The optimal route can be generated considering Nash Equilibrium by solving the route choice game. Simulations and experimental analysis show that the proposed model can describe the commuters’ routine route choice decision exactly and the provided route is reliable.


    Access

    Download


    Export, share and cite



    Title :

    Route Choice Model Based on Game Theory for Commuters


    Contributors:
    Licai Yang (author) / Yunfeng Shi (author) / Shenxue Hao (author) / Lei Wu (author)


    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Route Choice Analysis of Bus-Use Commuters in Yangon, Myanmar

    Kato, H. / Inagi, A. / Htun, P.T.T. | British Library Conference Proceedings | 2010


    Route Choice Analysis of Bus-Use Commuters in Yangon, Myanmar

    Kato, Hironori / Inagi, Akihiro / Htun, Phyo Thet Thet | ASCE | 2010


    Understanding the Effect of ATIS on Commuters' Route Choice Decisions

    Abdel-Aty, M. A. / Kitamura, R. / Jovanis, P. P. et al. | British Library Conference Proceedings | 1995


    Bicyclist commuters’ choice of on-street versus off-street route segments

    Kang, Lei / Fricker, Jon D. | Online Contents | 2013