In this paper, we consider the problem of developing a microscopic model for a signalized traffic intersection using Petri nets (PNs). We propose a two-module timed PN representation, where the first module is to model the traffic intersection and the second module is to model its traffic signal system. We use both deterministic and stochastic transitions in our model, and we describe in detail how they operate by considering both the event and time constraints associated with the physical traffic intersection. We also compare our model with some existing models in literature, and we explicitly state the potential advantages of our model.


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    Title :

    Microscopic Modeling of a Signalized Traffic Intersection Using Timed Petri Nets


    Contributors:


    Publication date :

    2016-02-01


    Size :

    491255 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






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