DocumentCode :
2121523
Title :
Nonlinear Analysis of Individual Vehicle Behavior in Car Following
Author :
Wang, Lanjun ; Zhang, Hao ; Meng, Huadong ; Wang, Xiqin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
265
Lastpage :
268
Abstract :
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.
Keywords :
Lyapunov methods; automobiles; chaos; road traffic; time series; car following; correlation dimension; individual vehicle chaotic behavior; maximal Lyapunov exponent; nonlinear time series analysis; traffic flow system; Chaos; Delay; Intelligent transportation systems; Intelligent vehicles; Microscopy; Road transportation; Time measurement; Time series analysis; Traffic control; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2111-4
Electronic_ISBN :
978-1-4244-2112-1
Type :
conf
DOI :
10.1109/ITSC.2008.4732637
Filename :
4732637
Link To Document :
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