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
Link To Document :
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