Multiscale Diffusion Entropy Analysis on Traffic Index Series

Abstract:

In this paper, we present a multiscale diffusion entropy analysis (DEA) for describing the traffic fractal dynamics with a spectrum of scale exponents . The method combines DEA with moving fitting window to analyze the traffic index (TI) series in different scales and shows more details of scale properties and provides a reliable analysis. We also quantify the effects of weather, traffic peaks on scale spectrum. The results indicate clearly that at large scales, the exponents show large volatility and they all have their own scale patterns. The multiscale DEA method provides new ways to measure the TI series and distinguishes groups in different conditions.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3553-3557
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3553
• Online since: May 2014
• Authors: Jing Jing Huang*
• Keywords: Multiscale Diffusion Entropy Analysis, Scale Exponent, Traffic Index Series

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