DocumentCode :
526912
Title :
Study on the forecasting method of traffic violation black spot
Author :
Jiaxing, Hu ; Yan, Chen ; Zhanquan, Sun ; Wei, Liu
Author_Institution :
Transp. Manage. Sch., Dalian Maritime Univ., Dalian, China
Volume :
1
fYear :
2010
fDate :
10-11 July 2010
Firstpage :
30
Lastpage :
33
Abstract :
With the increasing of vehicle quantity, traffic violations occur frequently. It is an efficient means to avoid traffic accident through controlling traffic violation. Based on the study of traffic accidents, black spot of traffic violation can be determined. But little research work has been done on this subject at present. This paper proposed a traffic violation black spot analysis method. In the method, SVM is used to forecast the future traffic violation frequency rate and weight method is used to identify the black spot. The efficiency of the proposed method is illustrated through analyzing a practical example.
Keywords :
forecasting theory; road accidents; road traffic; support vector machines; traffic engineering computing; SVM; forecasting method; future traffic violation frequency rate; traffic accidents; traffic violation black spot analysis method; weight method; Black Spot; SVM; Traffic Violation; Weight Method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7860-6
Type :
conf
DOI :
10.1109/INDUSIS.2010.5565922
Filename :
5565922
Link To Document :
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