中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (4): 83-88.doi: 10.16265/j.cnki.issn1003-3033.2019.04.014

• 安全工程技术科学 • 上一篇    下一篇

草原公路弯道交通工程设施信息量评价

韩磊, 朱守林** 教授, 戚春华 教授, 高明星 副教授, 李航天 讲师   

  1. 内蒙古农业大学 能源与交通工程学院,内蒙古 呼和浩特 010018
  • 收稿日期:2018-12-04 修回日期:2019-01-29 出版日期:2019-04-28 发布日期:2020-11-04
  • 通讯作者: ** 朱守林(1961—),男,江苏沛县人,博士,教授,博士生导师,主要从事公路交通人机环境等方面的研究。E-mail:zhushoulin@126.com。
  • 作者简介:韩 磊 (1993—),男,河北乐亭人,硕士研究生,主要研究方向为公路交通人机环境。E-mail:642538199@qq.com。
  • 基金资助:
    国家自然科学基金资助(51768057)。

Evaluation of traffic engineering facilities information volume of prairie highway curve

HAN Lei, ZHU Shoulin, QI Chunhua, GAO Mingxing, LI Hangtian   

  1. College of Energy and Traffic Engineering, Inner Mongolia Agriculture University, Hohhot Inner Mongolia 010018,China
  • Received:2018-12-04 Revised:2019-01-29 Online:2019-04-28 Published:2020-11-04

摘要: 为明确驾驶员在草原公路弯道不同层级交通工程设施信息量条件下的视觉特性,确定最佳信息量范围,采用数理统计和回归分析方法,分别建立5种不同层级(Q0、Q1、Q2、Q3、Q4)下交通工程设施信息量的草原公路弯道虚拟场景模拟驾驶试验,定量评价不同层级下驾驶员的注视强度、扫视强度和眨眼强度。试验结果表明:眼动强度很大程度上由眼动行为发生的频次决定;交通工程设施信息量对驾驶员行车时注视强度、扫视强度和眨眼强度均有显著影响,其中在Q2条件下3种眼动强度指标表现最佳,最利于行车安全;驾驶员3种眼动强度与交通工程设施信息量变化表现出很强的相关性,相关性大小依次为注视强度、扫视强度和眨眼强度。

关键词: 草原公路, 交通工程设施, 信息量评价, 注视强度, 扫视强度, 眨眼强度

Abstract: In order to clarify the drivers' visual characteristics at different levels of traffic engineering facilities information volume of the prairie highway curve, and determine the optimum range of information volume, mathematical statistics and regression analysis were used, five virtual scene driving tests of bends of prairie highway with different levels(Q0,Q1,Q2,Q3,Q4) of traffic engineering facilities information volume were established, and the simulation driving test was carried out. The drivers' gaze intensity, scanning intensity and blink intensity at different levels were evaluated quantificationally. The results show that the eye movement intensity is largely determined by the frequency of eye movement, that traffic engineering facility information volume has a marked effect on the intensity of driver's gaze, glance and blink, that intensity of eye movement shows the best performance under the Q2 condition and it is best for driving safety, and that the intensities of drivers' three eye movements show a strong correlation with the change of traffic engineering facilities information volume, among which the gaze intensity has the biggest degree of correlation, followed by scanning intensity and blink intensity.

Key words: prairie highway, traffic engineering facility, evaluation of information volume, gaze intensity, scanning intensity, blink intensity

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