DocumentCode :
2669155
Title :
Design of freeway AID algorithms based on SVM and data fusion technologies
Author :
Zhili, Cai ; Guiyan, Jiang ; Qiushi, Ding
Author_Institution :
Shandong Jiaotong Univ., Jinan
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
573
Lastpage :
577
Abstract :
According to the traffic flow characteristic and single vehicle operation characteristic under incidents situation on freeway, this paper applies SVM and Data Fusion Techniques to put forward a kind of SVM-AID Algorithm with Data-level fusion method. According to a certain rules, the algorithm fuses data such as volume, speed and occupancy collected by fixed detectors and the data of single vehicle instantaneous speed and average travel speed by GPS FCs, and then applies SVM models to realize traffic incidents detection. The simulation results demonstrated that the new algorithm put forward in this paper can effectively real-time detect traffic incidents occurred on freeway, and they possessed well detection capability.
Keywords :
sensor fusion; support vector machines; traffic engineering computing; SVM-AID algorithm; data-level fusion method; freeway AID algorithm; real-time traffic detection incident; traffic flow characteristic; Airports; Algorithm design and analysis; Educational institutions; Fuses; Global Positioning System; Road vehicles; Support vector machines; Traffic control; Transportation; Vehicle detection; AID; Data Fusion; Freeway; GPS; ITS; SVM;
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.2008.4605685
Filename :
4605685
Link To Document :
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