This paper mainly analyzes the fractal properties which are the foundations of short-term traffic flow forecast. Based on the embedding space theory, state space reconstruction and G-P algorithm, an approach is presented to find the fractal dimension and fractal interval. Then, a series of real time traffic flow data surveyed on a freeway is analyzed by this approach. The results show that the scale has significant effects on fractal dimension and fractal interval, and traffic flow is really the invariability of scale in a certain interval.


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    Titel :

    The fractal dimension and fractal interval for freeway traffic flow


    Beteiligte:
    Zhongxiang Huang, (Autor:in) / Zuomin Li, (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    310735 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    The Fractal Dimension and Fractal Interval for Freeway Traffic Flow

    Huang, Z. / Li, Z. / IEEE | British Library Conference Proceedings | 2000


    Multiple-Interval Freeway Traffic Flow Forecasting

    Smith, Brian L. | Online Contents | 1996


    Multiple-Interval Freeway Traffic Flow Forecasting

    Smith, B. L. / Demetsky, M. J. / National Research Council; Transportation Research Board | British Library Conference Proceedings | 1996


    Multiple-Interval Freeway Traffic Flow Forecasting

    Smith, Brian L. | Online Contents | 1996


    Multiple-Interval Freeway Traffic Flow Forecasting

    Smith, Brian / Demetsky, Michael | Transportation Research Record | 1996