CASIA OpenIR  > 智能制造技术与系统研究中心  > 先进制造与自动化
Traffic Incident Detection Algorithm Based on Non-Parameter Regression
Shuming Tang; Xiaoyan Gong; Fei-Yue Wang; Tang, Shuming
2002-09-01
Conference NameThe Proceedings of the 5th IEEE International Conference on Intelligent Transportation Systems
Source PublicationIEEE INTELLIGENT SYSTEMS
Conference Date3-6 Sept. 2002
Conference PlaceSingapore
AbstractWe 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
KeywordAccidents Identification Road Traffic Statistical Analysis Traffic Control Traffic Engineering Computing Detection Rate False Alarm Rate Mean Detection Time Mode Identification
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12405
Collection智能制造技术与系统研究中心_先进制造与自动化
Corresponding AuthorTang, Shuming
Recommended Citation
GB/T 7714
Shuming Tang,Xiaoyan Gong,Fei-Yue Wang,et al. Traffic Incident Detection Algorithm Based on Non-Parameter Regression[C],2002.
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