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基于Logistic回归的驾驶人跟车危险认知模型
引用本文:林庆峰,成波.基于Logistic回归的驾驶人跟车危险认知模型[J].中国公路学报,2011(6).
作者姓名:林庆峰  成波
作者单位:北京航空航天大学交通科学与工程学院;清华大学汽车安全与节能国家重点实验室;
基金项目:清华大学与丰田公司国际合作项目(20113000111); 中央高校基本科研业务费专项资金项目(YWF-10-02-060)
摘    要:为探索紧急情况下驾驶人跟车危险认知机理,利用图像式汽车行驶记录仪在中国首次开展了大规模的交通冲突调查,基于采集的实际交通环境下的追尾冲突数据,分析了驾驶人制动操作与驾驶人安全和危险状态判断之间的关系,提出了基于Logistic回归的驾驶人跟车危险认知模型。研究结果表明:车头时距和碰撞时间是影响驾驶人跟车危险判断的重要参数;经模型的拟合优度和预测准确性检验,提出的模型在城市交通环境下具有较好的适用性。

关 键 词:交通工程  驾驶人行为  Logistic回归  交通冲突  危险认知  追尾预警  图像式汽车行驶记录仪  

Model of Driver Risk Perception in Car-following Based on Logistic Regression
LIN Qing-feng,CHENG Bo.Model of Driver Risk Perception in Car-following Based on Logistic Regression[J].China Journal of Highway and Transport,2011(6).
Authors:LIN Qing-feng  CHENG Bo
Institution:LIN Qing-feng1,CHENG Bo2(1.School of Transportation Science and Engineering,Beihang University,Beijing 100191,China,2.State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China)
Abstract:In order to explore the mechanism of driver risk perception in car-following under emergency situations,a large-scale investigation of traffic conflict was conducted by using video drive recorder for the first time in China.Based on the rear-end conflict data recorded in real traffic environments,authors analyzed the relationship between driver braking operation and decision-making for safe and dangerous status,presented the model of driver risk perception in car-following based on Logistic regression.Resul...
Keywords:traffic engineering  driver behavior  Logistic regression  traffic conflict  risk perception  rear-end warning  video drive recorder  
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