Road traffic sensors provide us with rich multi-variable datastreams about the current traffic conditions. Occasionally, there are unusual traffic events (such as accidents, jams, severe weather, etc) that disrupt the expected road traffic conditions. Detecting the occurrence of such events in an online and real-time manner is useful to drivers in planning their routes and in the management of the transportation infrastructure.


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    Titel :

    Spatio-temporal coupled Bayesian Robust Principal Component Analysis for road traffic event detection


    Beteiligte:
    Yang, Shiming (Autor:in) / Kalpakis, Konstantinos (Autor:in) / Biem, Alain (Autor:in)


    Erscheinungsdatum :

    2013-10-01


    Format / Umfang :

    469487 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch