Based on cellular automata model, the impact of information suggestion on the traffic flow of a three-route system has been studied. In the model, we assume that a speed limit bottleneck exists on one route. When vehicles drive past this bottleneck, their speed will be reduced to 0. By simulation, it was found that a big traffic jam appears before this bottleneck. To alleviate this kind of traffic jams, an information suggestion strategy (ISS) has been introduced. By this strategy, the vehicles could choose a better route to drive according to the real-time traffic information. Simulation results indicate that ISS could significantly balance the distribution of vehicles on the routes, and effectively resist the formation of large traffic jams. Moreover, only 30% route-choice probability could achieve the best optimal effect of the information strategy.


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    Titel :

    The impact of information suggestion strategy on the three-route system with a speed bottleneck based on cellular automata model


    Beteiligte:
    Xiao, Wen (Autor:in) / Chen, Yu-Guang (Autor:in) / Yang, Ya-Ping (Autor:in) / Yang, Chao (Autor:in)


    Erscheinungsdatum :

    2017-08-01


    Format / Umfang :

    386578 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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