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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    Title :

    Exploring urban traffic flow dynamics


    Contributors:


    Publication date :

    2013-10-01


    Size :

    418592 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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