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不同驾驶倾向驾驶员的酒后驾驶行为研究
引用本文:孙一帆,张敬磊,王战古,于杰,王晓原,孔栋.不同驾驶倾向驾驶员的酒后驾驶行为研究[J].科学技术与工程,2018,18(7).
作者姓名:孙一帆  张敬磊  王战古  于杰  王晓原  孔栋
作者单位:山东理工大学 交通与车辆工程学院,山东理工大学 交通与车辆工程学院,山东理工大学 交通与车辆工程学院,山东理工大学 交通与车辆工程学院,山东理工大学 交通与车辆工程学院,山东理工大学 交通与车辆工程学院
基金项目:国家自然科学基金资助(61573009);山东省自然科学基金资助(ZR2014FM027); 山东省高等学校科技计划(J15LB07); 汽车安全与节能国家重点实验室开放基金资助(KF16232)。
摘    要:为了探究不同驾驶倾向驾驶员的酒后驾驶行为,提高酒后驾驶行为识别模型的准确性,组织60名不同驾驶倾向驾驶员饮酒后进行驾驶模拟实验,获得12个驾驶行为指标的实验数据;采用距离分析和方差分析,对各驾驶倾向驾驶员的酒后驾驶行为数据进行了研究。结果表明:饮酒后,相同驾驶倾向驾驶员在速度标准差等9个驾驶行为指标上有相似性,其中,激进型驾驶员的速度均值的相关比例最高为85%;不同驾驶倾向驾驶员在油门踏板深度均值等7个的驾驶行为指标上差异显著。本研究可为基于驾驶行为的酒驾辨识研究提供理论支持。

关 键 词:交通安全  酒后驾驶行为  驾驶倾向性  距离分析  方差分析
收稿时间:2017/7/31 0:00:00
修稿时间:2017/7/31 0:00:00

The Study on Drunk Driving Behaviors of Drivers with Different Driving Propensities
Sun Yifan,Zhang Jinglei,Wang Zhangu,Yu Jie,Wang Xiaoyuan and Kong Dong.The Study on Drunk Driving Behaviors of Drivers with Different Driving Propensities[J].Science Technology and Engineering,2018,18(7).
Authors:Sun Yifan  Zhang Jinglei  Wang Zhangu  Yu Jie  Wang Xiaoyuan and Kong Dong
Institution:School of Transportation and Vehicle Engineering,Shandong University of Technology,School of Transportation and Vehicle Engineering,Shandong University of Technology,School of Transportation and Vehicle Engineering,Shandong University of Technology,School of Transportation and Vehicle Engineering,Shandong University of Technology,School of Transportation and Vehicle Engineering,Shandong University of Technology,School of Transportation and Vehicle Engineering,Shandong University of Technology
Abstract:In order to explore drunk driving behaviors of drivers with different driving propensities and improve the accuracy of the identification model of drunk driving behaviors, sixty drivers with different driving propensities were organized to do driving simulation experiments after drinking. The experimental data of twelve driving behavior indicators were obtained and the drunk driving behavior data of all drivers with different driving propensities were analyzed by distance analysis and variance analysis. The results showed that after drinking, the drivers with same driving propensity had similarities in nine driving behavior indicators including speed standard deviation, among them, the relative proportion on the mean value of velocity of aggressive drivers was 85%, which was the highest, and the drivers with different driving propensities had significant differences in seven driving behavior indicators including mean value of accelerator pedal deepness. This study can provide theoretical support for identification research of drunk driving based on driving behaviors.
Keywords:traffic safety  drunk driving behaviors  driving propensity  distance analysis  variance analysis
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