A method to distinguish between incidents and compression waves in freeway traffic is presented. The method is based on shock-wave propagation characteristics and aims to identify specific cross-correlation patterns in occupancy data from adjacent sensors along the freeway. The method is implemented in a computer algorithm and used to improve the detection performance of DELOS, an existing incident detection algorithm. Results from testing the algorithm with traffic and incident data demonstrate superior performance to DELOS in terms of detection and false alarm rates.


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    Titel :

    Detection of incidents and compression waves in freeways


    Beteiligte:


    Erscheinungsdatum :

    1997


    Format / Umfang :

    6 Seiten, 7 Bilder, 1 Tabelle, 5 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Detection of Incidents and Compression Waves in Freeways

    Chassiakos, A. P. / Stephanedes, Y. J. / Technical University of Crete; Department of Production and Management Engineering | British Library Conference Proceedings | 1997


    Detection of Incidents and Traffic Disturbances in Freeways

    Chassiakos, A. P. / Stephanedes, Y. J. / ASCE | British Library Conference Proceedings | 1993


    Analysis of Large-Scale Incidents on Urban Freeways

    Zhang, Hongbing / Zhang, Yichi / Khattak, Asad J. | Transportation Research Record | 2012


    Analysis of Large-Scale Incidents on Urban Freeways

    Zhang, Hongbing | Online Contents | 2012


    Dynamic model-based techniques for the detection of incidents on freeways

    Willsky, A.S. / Chow, E.Y. / Gershwin, S.B. et al. | Tema Archiv | 1980