DocumentCode
536160
Title
Identifying Traffic Jamming by the Spatiotemporal Correlation Function
Author
Fan, Yaping ; Xue, Yu
Author_Institution
Inst. of Phys. Sci. & Eng., Guangxi Univ., Nanning, China
Volume
2
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
387
Lastpage
391
Abstract
In this paper, we identify the traffic jamming in SDNaSch and First-noise traffic model by the spatiotemporal correlation functions, respectively. The correlation in the first model shows the sharp change rather than a crossover type. It indicates the transition from freely moving to jammed traffic. The correlation function of the second model shows rather complicated oscillating behaviors without the sharply changing. It implies the transition from freely moving cross over to jammed traffic.
Keywords
correlation methods; road traffic; SDNaSch; first-noise traffic model; spatiotemporal correlation function; traffic jamming identification; Automata; Biological system modeling; Correlation; Jamming; Numerical models; Physics; Spatiotemporal phenomena; cellular automaton; correlation function; traffic flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.202
Filename
5657167
Link To Document