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Nonlinear Analysis of Individual Vehicle Behavior in Car Following

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4 Author(s)
Lanjun Wang ; Dept. of Electron. Eng., Tsinghua Univ., Beijing ; Hao Zhang ; Huadong Meng ; Xiqin Wang

It is well known that traffic systems are highly nonlinear. Previous research has shown the existence of the chaotic behavior in traffic flow data. However, the corresponding result in individual vehicle behavior has not been investigated. In this paper, we use tools of nonlinear time series analysis to explore the chaotic characteristic from data of individual vehicle behavior in car following. The maximal Lyapunov exponent and correlation dimension of these data are calculated numerically and compared with the results of traffic volume. The consistency of traffic flow and individual vehicle behavior is illustrated clearly from viewpoints of chaotic analysis.

Published in:

Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on

Date of Conference:

12-15 Oct. 2008