A system is described that measures the vehicle count and travel time in the links of a road network. The measurements require matching vehicle signatures recorded by a wireless magnetic sensor network. The matching algorithm is based on a statistical model of the signatures. The model itself is estimated from the data. The approach is first discussed for a single-lane road and extended to multiple-lane roads. The algorithm yields a correct matching rate of 75% for a false matching rate of 5% and reliably estimates the number of vehicles on each link and its travel-time distribution. The system is tested on a 0.9-mi-long segment of San Pablo Avenue, Albany, CA.


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    Titel :

    Real-Time Measurement of Link Vehicle Count and Travel Time in a Road Network


    Beteiligte:
    Kwong, Karric (Autor:in) / Kavaler, Robert (Autor:in) / Rajagopal, Ram (Autor:in) / Varaiya, Pravin (Autor:in)


    Erscheinungsdatum :

    2010-12-01


    Format / Umfang :

    1173164 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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