Distributed Floating Car Data (DFCD) corresponds to vehicles directly exchanging their floating data and cooperatively estimating the local traffic density instead of letting this task to the cloud. With a fully distributed approach, DFCD exhibits salient advantages in particular related to low latency and high reactiveness for smart mobility applications. This work proposes DissFlow, a DFCD solution relying on the knowledge of data dissemination delay of Vehicular-to-Everything (V2X) communications to estimate the underlying vehicular traffic density. DissFlow is first analytically formulated and analyzed, before being evaluated by simulation means on the iTETRIS platform. Considering a 1-D road network modeled by SUMO, simulation results show that the knowledge of the V2X dissemination delay allows to closely estimate and follow the evolutionary trend of vehicular traffic density.


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    Titel :

    V2X data dissemination delay for vehicular traffic density estimations


    Beteiligte:
    Gashaw, Sosina (Autor:in) / Harri, Jerome (Autor:in)


    Erscheinungsdatum :

    01.06.2015


    Format / Umfang :

    1234906 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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