DocumentCode :
1687422
Title :
Combined method for traffic incident detection based on wavelet analysis and Catastrophic Theory
Author :
Feng, Jinqiao ; Shen, Liping ; Zhang, Lidong ; Liu, Wei
Author_Institution :
High Performance Lab., Shandong Comput. Sci. Center, Jinan, China
fYear :
2010
Firstpage :
5604
Lastpage :
5609
Abstract :
Combined with superiority of wavelet in dealing with time-varying information and advantage of Catastrophic Theory in dealing with breakdown automatically, an automatic traffic incident detection method based on wavelet analysis and Catastrophic Theory is presented in this paper. The new method has general adaptability because of the combination strategy of wavelet theory and Catastrophic Theory. And it is better than the traditional method based on Catastrophic Theory because of double-scale detection. We test the new model with the traffic speed data at the end of the paper.
Keywords :
road traffic; wavelet transforms; catastrophic theory; double-scale detection; time-varying information; traffic incident detection; traffic speed data; wavelet analysis; Adaptation model; Automation; Companies; Data models; Electric breakdown; Laboratories; Wavelet analysis; automatic incident detection; catastrophe theory; double-scale detection; wavelet theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554441
Filename :
5554441
Link To Document :
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