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基于离散选择分析的山区公路安全预警系统研究
引用本文:温惠英,张文标.基于离散选择分析的山区公路安全预警系统研究[J].公路,2011(4).
作者姓名:温惠英  张文标
作者单位:华南理工大学土木与交通学院,广州市,510640
基金项目:国家自然科学基金资助项目,项目编号50978106
摘    要:普通公路安全预警尤其是山区公路安全预警,由于其交通流的复杂性使得利用监控系统检测交通状态较为困难。离散选择分析模型通过原始数据直接做出判断,又可以根据数据更新系统进行有效的自身学习,因此较目前应用的贝叶斯网络模型更适用于山区公路安全预警。首先利用离散选择分析方法建立了道路交通状态检测的判断模型;其次以检测结果为基础,利用线性神经网络模型建立了路段交通预警模型;最终建立了山区公路安全预警系统。

关 键 词:山区公路  离散选择  神经网络  安全预警系统  检测  

A Study on Safety Forewarning System of Mountain Road Based on Discrete Choice Analysis
WEN Hui-ying,ZHANG Wen-biao.A Study on Safety Forewarning System of Mountain Road Based on Discrete Choice Analysis[J].Highway,2011(4).
Authors:WEN Hui-ying  ZHANG Wen-biao
Institution:WEN Hui-ying,ZHANG Wen-biao(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,China)
Abstract:Because of the complexity of traffic flow,the traffic state detection of normal highway safety forewarning,in particular,a mountain road safety one,which makes use of the data obtained from the monitoring system,is more difficult.Discrete Choice Analysis Model makes judgments directly with the primal data,and learns itself efficiently by the Data Update System,therefore,it's more suitable for roads in the mountainous areas of the judgments than Bayesian Network Models which are most widely used at present.F...
Keywords:mountain road  discrete choice  neural network  safety forewarning system  detection  
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