Abstract Time series can show signs of fractal and multi-fractal behaviour. An analysis from this perspective can unearth features of time series that remain hidden for analysis with standard statistics. We analyse the multi-fractal spectra of traffic time series with the help of Multi-fractal Detrended Fluctuation Analysis (MDFA). Empirical time series of traffic flows and velocities measured by loop detectors are compared with time series gathered from traffic simulations. As a second focus, we analyse multi-fractal features of time series from different vehicle classes, i.e. passenger and transport traffic.


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    Title :

    Fractal Analysis of Empirical and Simulated Traffic Time Series


    Contributors:

    Published in:

    Publication date :

    2016-01-01


    Size :

    8 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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