标题:Combined Method for Traffic Incident Detection Based on Wavelet Analysis And Catastrophic Theory
作者:Feng, Jinqiao; Shen, Liping; Zhang, Lidong; Liu, Wei
通讯作者:Feng, JQ
作者机构:[Feng, Jinqiao; Zhang, Lidong; Liu, Wei] Shandong Comp Sci Ctr, High Performance Lab, Jinan, Shandong, Peoples R China.; [Shen, Liping] Shandong Exp 更多
会议名称:8th World Congress on Intelligent Control and Automation (WCICA)
会议日期:JUL 06-09, 2010
来源:2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)
出版年:2010
页码:5604-5609
DOI:10.1109/WCICA.2010.5554441
关键词:automatic incident detection; wavelet theory; catastrophe theory;; double-scale detection
摘要: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.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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