The application of Hölder exponent to traffic congestion warning

Pengjian Shang, Yongbo Lu and Santi Kama

Physica A: Statistical Mechanics and its Applications, 2006, vol. 370, issue 2, 769-776

Abstract: In this paper, we applied multifractal modeling techniques to analyze the traffic data collected from the Beijing Yuquanying. The results indicated that multifractal characteristics obviously exist in the traffic system; the degree of fractality of these traffic data tends to increase as the traffic system becomes congested; the Hölder exponent that measures the local rate of fractality may be used as indicators to predict the presence of the traffic congestion.

Keywords: Fractal; Time series analysis; Traffic flow; Nonlinear dynamics and nonlinear dynamical systems (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:370:y:2006:i:2:p:769-776

DOI: 10.1016/j.physa.2006.02.032

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