The systems and methods of the present disclosure provide accurate traffic volume estimates at intersections using data available from a subset of the total vehicles and can effectively resolve the issue with a low penetration rate of connected vehicles and can be used to optimize traffic lights at intersections. The systems and methods of the present disclosure use vehicle trajectory data to calculate arrival times at intersections and, from this data, use a statistical method to estimate the traffic volume. Traffic arriving at the intersection can be modeled by a distribution and then, using an algorithm, the likelihood of the observed data (limited approaching vehicles data) can be maximized. The parameters from the optimized model can be used to estimate the real traffic volume. The systems and methods of the present disclosure use a Gaussian Mixture Model (GMM) distribution to model incoming vehicles.


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    Titel :

    TRAFFIC VOLUME ESTIMATION USING APPROACHING VEHICLE DATA


    Beteiligte:
    MALHAN RAJESH (Autor:in) / BANDEGI MAHDI (Autor:in) / CROWLEY OSCAR (Autor:in) / BODUN PATRICK (Autor:in)

    Erscheinungsdatum :

    01.08.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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