Traffic Incident Detection Algorithm Based on Non-Parameter Regression

	Traffic Incident Detection Algorithm Based on Non-Parameter Regression
	Shuming Tang; Xiaoyan Gong; Fei-Yue Wang; Tang, Shuming
	2002-09-01
会议日期	3-6 Sept. 2002
会议地点	Singapore
关键词	Accidents Identification Road Traffic Statistical Analysis Traffic Control Traffic Engineering Computing Detection Rate False Alarm Rate Mean Detection Time Mode Identification
英文摘要	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
会议录	IEEE INTELLIGENT SYSTEMS
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/12405]
专题	自动化研究所_智能制造技术与系统研究中心_先进制造与自动化团队
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]. 见:. Singapore. 3-6 Sept. 2002.