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作者:

Li, Zhenlong (Li, Zhenlong.) | Li, Xuewei (Li, Xuewei.) | Zhao, Xiaohua (Zhao, Xiaohua.) | Zhang, Qingzhou (Zhang, Qingzhou.)

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摘要:

Objective: The aim of this article is to explore the detailed characteristics of steering behavior in curve driving at different alcohol dosages. Background: Improper operation of the steering wheel is a contributing factor to increased crash risks on curves. Method: The experiments were conducted using a driving simulator. Twenty-five licensed drivers were recruited to perform the experiments at the four different breath alcohol concentration (BrAC) levels. The steering angle (SA), steering speed (SS), steering reversal rate (SRR), and peak-to-peak value of the steering angle (PP) were used to characterize the steering behavior. The vehicle's speed and the number of lane exceedances per kilometer were also used to examine the driving performance. Results: The SSs on the 200 m (chi(2)(3) = 20.67, p < .001), 500 m (chi(2)(3) = 22.42, p < .001), and 800 m (chi(2)(3) = 22.86, p < .001) radius curves were significantly faster for drivers under the influence of alcohol compared with those given a placebo. There were significant effects of alcohol on the SRR and PP on the 200 m, 500 m, and 800 m radius curves. Conclusion: For all of the curves, the SS, SRR, and PP had a tendency to increase as the BrAC increased. The large PP at a high BrAC, accompanied by the high speed, SS, and SRR, resulted in a high probability of lane exceedance. The use of measures of SS, SRR, and PP aided in the improvement of the accuracy of the intoxication detection for the different types of curves. Application: The most important application is to provide guidance for detecting alcohol-impaired-driving.

关键词:

alcohol driver behavior driver impairment steering behavior traffic safety

作者机构:

  • [ 1 ] [Li, Zhenlong]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing, Peoples R China
  • [ 2 ] [Li, Xuewei]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing, Peoples R China
  • [ 3 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing, Peoples R China
  • [ 4 ] [Zhang, Qingzhou]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing, Peoples R China

通讯作者信息:

  • [Li, Zhenlong]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing, Peoples R China

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来源 :

HUMAN FACTORS

ISSN: 0018-7208

年份: 2019

期: 1

卷: 61

页码: 139-151

3 . 3 0 0

JCR@2022

ESI学科: PSYCHIATRY/PSYCHOLOGY;

ESI高被引阀值:36

JCR分区:1

被引次数:

WoS核心集被引频次: 13

SCOPUS被引频次: 13

ESI高被引论文在榜: 0 展开所有

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