Important statistical characteristics of traffic can be examined via the reconstruction of a so-called phase-space where each point in that space represents a state of traffic and vice versa. Statistical tools such as recurrence analysis can then be used to visualize the temporal evolution of traffic and to assess its non-stationarity structure as an indicator for irregular behaviour. In this paper we investigate, examine and analyze the short-term non-stationary features present in traffic flows based on the historical data available from stop-line detectors collected from a small number of intersections in the Melbourne CBD, Australia and demonstrate that recurrence analysis has considerable potential in identifying changes within the temporal behaviour of traffic.


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    Titel :

    Exploring urban traffic flow dynamics


    Beteiligte:
    Malcontenti-Wilson, Adam (Autor:in) / Vu, Hai L. (Autor:in) / Cadusch, Peter (Autor:in) / Branch, Philip (Autor:in) / van Lint, Hans (Autor:in) / Hoogendoorn, Serge (Autor:in)


    Erscheinungsdatum :

    01.10.2013


    Format / Umfang :

    418592 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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