This paper proposes an interval approach to vehicular traffic flow modeling. The developed interval compositional model (ICM) provides a natural way of predicting traffic flows without the assumption of uniform distribution of vehicles along the road. The model can be used for real-time prediction of traffic flows and can be part of road traffic surveillance and control systems. The approach is flexible and robust and can be used in real-time applications. Its performance is investigated and validated over real traffic data.


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    Titel :

    An interval compositional vehicular traffic model for real-time applications


    Beteiligte:
    Gning, Amadou (Autor:in) / Mihaylova, Lyudmila (Autor:in) / Boel, Rene (Autor:in)


    Erscheinungsdatum :

    2008-06-01


    Format / Umfang :

    308920 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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