In this paper, we propose a mathematical model for intelligent transportation systems (ITS) in an urban environment, which takes into account both the urban structure and vehicles. Using the stochastic geometry approach, we model the locations of vehicles with a Poisson point process on roads whose interval is a fixed value. We consider typical vehicle-to-infrastructure and vehicle-to-vehicle communication scenarios and derive theoretical values of the probability of successful transmission. Our results from numerical experiments reveal how the urban structure can affect wireless communications in ITS.


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    Titel :

    Modeling Urban ITS Communication via Stochastic Geometry Approach


    Beteiligte:
    Kimura, Tatsuaki (Autor:in) / Saito, Hiroshi (Autor:in) / Honda, Hirotada (Autor:in) / Kawahara, Ryoichi (Autor:in)


    Erscheinungsdatum :

    01.09.2016


    Format / Umfang :

    297682 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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