DocumentCode
2669112
Title
Application of multiple SVM classifier fusion technique in freeway automatic incident detection
Author
Zhili, Cai ; Guiyan, Jiang
Author_Institution
Shandong Jiaotong Univ., Jinan
fYear
2008
fDate
16-18 July 2008
Firstpage
581
Lastpage
585
Abstract
Based on stating the principle of support vector machine (SVM) classifier, this paper analyses the data collected traits by fixed detectors and the traffic characteristics of freeway chiefly. Also, this paper proposes traffic pattern eigenvectors by data of several continuous time intervals for the single traffic parameter, puts forward multiple SVM classifier fusion models and operation flow, as well as analyzing results after simulation.
Keywords
pattern classification; sensor fusion; support vector machines; traffic engineering computing; freeway automatic incident detection; multiple SVM classifier fusion technique; support vector machine classifier; traffic pattern eigenvectors; Analytical models; Data analysis; Detectors; Educational institutions; Electronic mail; Pattern analysis; Support vector machine classification; Support vector machines; Traffic control; Transportation; AID; Data fusion; Freeway; SVM; SVM Classifier;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605683
Filename
4605683
Link To Document