Highlights We model a dynamical bottleneck model with general distributed capacity and information provision. The impact of bounded rationality has been considered in modelling the traffic dynamics. We discuss the existence and stability of the dynamical system with two types of perceived travel cost. We discuss the impact of information provision on traffic dynamics under long-term equilibrium and short-term equilibrium.

    Abstract This study investigates the dynamical evolution of travelers’ departure time choice in a bottleneck-constrained roadway system with stochastic capacity. When considering day-to-day traffic evolution, this study explores two scenarios: travelers have long-term historical knowledge and real-time information provision; and travelers have short-term travel experience and real-time information provision. In this context, this study models boundedly rational travelers. This study sheds light on the trade-off between daily (short-term) equilibrium and statistical (long-term) equilibrium.


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    Title :

    Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions


    Contributors:
    Zhu, Zheng (author) / Li, Xinwei (author) / Liu, Wei (author) / Yang, Hai (author)


    Publication date :

    2019-09-27


    Size :

    25 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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