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Traffic incident detection algorithm based on non-parameter regression
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.
Traffic incident detection algorithm based on non-parameter regression
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.
Traffic incident detection algorithm based on non-parameter regression
Tang Shuming, (author) / Gong Xiaoyan, (author) / Wang Feiyue, (author)
2002-01-01
485188 byte
Conference paper
Electronic Resource
English
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