Fractal Analysis of Empirical and Simulated Traffic Time Series

Thomas Zaksek () and Michael Schreckenberg ()
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Thomas Zaksek: University of Duisburg-Essen, Physics of Transport and Traffic
Michael Schreckenberg: University of Duisburg-Essen, Physics of Transport and Traffic

A chapter in Traffic and Granular Flow '15, 2016, pp 435-442 from Springer

Abstract: Abstract TimeZaksek, Thomas series canSchreckenberg, Michael 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.

Keywords: Traffic Flow Time Series; Multi-fractal Spectrum; Multi-fractal Detrended Fluctuation Analysis (MDFA); Empirical Traffic Data; Integer Count Data (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-33482-0_55

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DOI: 10.1007/978-3-319-33482-0_55

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