DocumentCode :
3517178
Title :
Research on Chaos Characters of Velocity in Traffic Flow
Author :
Yu, Dan ; Hou, Zhixiang ; Yuan, Huihua ; Yin, Xiaomei
Author_Institution :
Sch. of Traffic Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Volume :
2
fYear :
2010
fDate :
11-12 Nov. 2010
Firstpage :
205
Lastpage :
210
Abstract :
Based on the NS Model, a mixed traffic flow on single lane is simulated in the paper, which includes two-classification vehicles owing the different max-velocity, and a chaos recognition algorithm based on composite feature is advanced. How the traffic flow is changed for different density and different discrete degree and which channel is the right way to chaos is researched. And the influence of the density of traffic flow and the discrete of following-velocity on the chaos of traffic flow is analyzed in different values named approximate entropy and statistical complexity, which are changed as the mixed proportionality factor.
Keywords :
cellular automata; entropy; road traffic; NaSch Model; approximate entropy; cellular automata model; chaos characters; chaos recognition algorithm; mixed proportionality factor; mixed traffic flow; statistical complexity; traffic flow chaos; traffic flow density; two-classification vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
Type :
conf
DOI :
10.1109/ICOIP.2010.337
Filename :
5663288
Link To Document :
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