Title :
Study on automated incident detection algorithms based on Multi-SVM Classifier
Author :
Zhili, Cai ; Guiyan, Jiang ; Qiushi, Ding
Author_Institution :
Shandong Jiaotong Univ., Jinan
Abstract :
Aimed at the problem that many AID algorithms have lower detection rate and higher false alarming rate, a kind of AID algorithm based on multi-SVM classifier is proposed. Also, the framework and flow of this algorithm were designed, and eigenvector constituted by data of the same traffic parameter in some continuous periods was proposed, then the validity and portability were analyzed by simulation data. The results showed that the detection performance of the new algorithm is superior to the comparing algorithms.
Keywords :
automated highways; eigenvalues and eigenfunctions; pattern classification; road traffic; support vector machines; eigenvector; freeway; intelligent transportation; multi-SVM classifier; traffic incident detection; Air transportation; Airports; Algorithm design and analysis; Analytical models; Detection algorithms; Educational institutions; Intelligent transportation systems; Support vector machine classification; Support vector machines; Traffic control; Freeway; Intelligent Transportation; SVM Classifier; Traffic Incident Detection;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597539
