Fractal Analysis of Empirical and Simulated Traffic Time Series

Autor: Thomas Zaksek, Michael Schreckenberg
Rok vydání: 2016
Předmět:
Zdroj: Traffic and Granular Flow '15 ISBN: 9783319334813
DOI: 10.1007/978-3-319-33482-0_55
Popis: 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.
Databáze: OpenAIRE