Traffic Incident Detection Algorithm Based on Non-Parameter Regression
Shuming Tang; Xiaoyan Gong; Fei-Yue Wang; Tang, Shuming
2002-09-01
会议名称The Proceedings of the 5th IEEE International Conference on Intelligent Transportation Systems
会议录名称IEEE INTELLIGENT SYSTEMS
会议日期3-6 Sept. 2002
会议地点Singapore
摘要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
关键词Accidents Identification Road Traffic Statistical Analysis Traffic Control Traffic Engineering Computing Detection Rate False Alarm Rate Mean Detection Time Mode Identification
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12405
专题智能制造技术与系统研究中心_先进制造与自动化
通讯作者Tang, Shuming
推荐引用方式
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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