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基于偏差分析的交通事件自动检测算法
引用本文:向红艳,刘伟,朱顺应.基于偏差分析的交通事件自动检测算法[J].中南公路工程,2007,32(2):142-144.
作者姓名:向红艳  刘伟  朱顺应
作者单位:重庆交通大学交通运输学院 重庆430074(向红艳,刘伟),武汉理工大学交通学院 湖北武汉430063(朱顺应)
基金项目:交通部应用基础基金项目(200331981408)
摘    要:高速公路事件检测是交通管理与控制中十分重要的环节。将交通流动态预测与事件检测相结合,探讨了基于偏差分析的事件识别方法。该方法对3个主要的交通流参数,交通量、地点车速和时间占有率进行动态预测,对预测值与实际值的偏差进行统计分析,明确了事件检测的具体步骤和事件发生概率的计算模型。该方法不受检测路段具体位置和时间的限制,具有较高的检测率和较小的误报率,有助于管理人员制定决策。

关 键 词:交通事件  自动检测  偏差分析  概率
文章编号:1002-1205(2007)02-0142-03
修稿时间:2006-06-08

Traffic Incident Detection Based on the Prediction Diviation
XIANG Hongyan, LIU Wei, ZHU Shunying.Traffic Incident Detection Based on the Prediction Diviation[J].Central South Highway Engineering,2007,32(2):142-144.
Authors:XIANG Hongyan  LIU Wei  ZHU Shunying
Institution:1. School of Transportation, Chongqing Jiaotong University, Chongqing 430074, China; 2. School of Transportation, Wuhan University of Technology, Wuhan, Hubei 430063, China
Abstract:Freeway incident detection is a crucial component of traffic management and control.A new algorithm has been proposed in this paper based on the prediction diviation of short-term traffic flow forecast.This method make a dynamic forecasting of three main parameters of traffic flow,traffic volume,spot speed and time occupancy,do a statistical analysis of the forecasting diviation.Expatiated the process of incident detection and the probability computing.There isn't constraint of detecte place and time,so it is transplantable,that's an aidant for the govement manager to make dicisions.
Keywords:traffic incident  automatic detection  diviation analysis  probability
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