DocumentCode
2369224
Title
Traffic incident detection algorithm based on non-parameter regression
Author
Shuming, Tang ; Xiaoyan, Gong ; Feiyue, Wang
Author_Institution
Inst. of Autom., Acad. Sinica, Beijing, China
fYear
2002
fDate
2002
Firstpage
714
Lastpage
719
Abstract
We first describe the traffic congestion problem that many countries are facing with in the world. Then we propose a traffic incident detection algorithm based on non-parametric regression to solve the congestion problem. Finally, we compare the algorithm with other incident detection algorithms on the detection rate, false alarm rate and mean detection time. A simulation result shows the algorithm proposed has higher detection rate, lower false alarm rate and longer mean time detection. Furthermore, we state the direction of our next study.
Keywords
accidents; identification; road traffic; statistical analysis; traffic control; traffic engineering computing; detection rate; false alarm rate; mean detection time; mode identification; nonparametric regression; road traffic control; traffic congestion; traffic incident detection algorithm; Automobiles; Cities and towns; Delay effects; Detection algorithms; Economic forecasting; Frequency; Loss measurement; Roads; Transportation; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
Print_ISBN
0-7803-7389-8
Type
conf
DOI
10.1109/ITSC.2002.1041306
Filename
1041306
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