Chaotic analysis of traffic time series

Pengjian Shang, Xuewei Li and Santi Kamae

Chaos, Solitons & Fractals, 2005, vol. 25, issue 1, 121-128

Abstract: In this paper, we applied non-linear time series modeling techniques to analyze the traffic data collected from the Beijing Xizhimen. The results indicated that chaotic characteristics obviously exist in the traffic system; techniques based on phase space dynamics can be used to analyze and predict the traffic speed.

Date: 2005
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:25:y:2005:i:1:p:121-128

DOI: 10.1016/j.chaos.2004.09.104

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