Wavelet analysis in a traffic model

Ding-wei Huang

Physica A: Statistical Mechanics and its Applications, 2003, vol. 329, issue 1, 298-308

Abstract: Wavelet analysis is applied to the study of vehicular fluctuations in highway traffic. The traffic flow on a single lane highway is simulated by the Nagel–Schreckenberg traffic model. Both the usual correlation functions as well as the wavelet-transformed functions are calculated and compared. Off-diagonal correlations are effectively suppressed by the wavelets, and correlations from different scales are nearly decoupled. The signature of traffic jams is identified in the wavelet-spectrum. Wavelet analysis provides a useful tool to explore the self-similarity in traffic fluctuations.

Keywords: Nagel–Schreckenberg traffic model; Wavelet analysis; Self-similar fluctuations (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:329:y:2003:i:1:p:298-308

DOI: 10.1016/S0378-4371(03)00623-X

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