中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (7): 97-103.doi: 10.16265/j.cnki.issn1003-3033.2019.07.016

• 安全工程技术科学 • 上一篇    下一篇

雾霾能见度对车辆碰撞概率影响分析

龚䶮 助理研究员, 魏晨   

  1. 北京市科学技术情报研究所,北京 100044
  • 收稿日期:2019-03-19 修回日期:2019-05-23 出版日期:2019-07-28 发布日期:2020-10-21
  • 作者简介:龚䶮 (1984—),女,吉林通化人,博士,助理研究员,主要从事交通环境、交通系统仿真等方面的研究。E-mail:gongyan0608@163.com。

Analysis of haze visibility's influence on vehicle collision probability

GONG Yan, WEI Chen   

  1. Beijing Science and Technology Information Research Institute, Beijing 100044, China
  • Received:2019-03-19 Revised:2019-05-23 Online:2019-07-28 Published:2020-10-21

摘要: 为探究雾霾发生时道路能见度对车辆碰撞概率的影响,首先,采集北京地区雾霾发生时部分路网相关数据,包括道路能见度、驾驶平均车速、驾驶员能见度和驾驶员减速数据等;其次,分析采集数据,构建各时段不同能见度的驾驶员减速特征模型;然后,构建驾驶员车辆速度模型,统计车辆车速超出道路平均车速的范围;最后,通过比较采集数据得出的速度差特征平均值与实际碰撞概率,判断雾霾发生时各时段的车辆碰撞高发区间。结果表明:道路能见度与道路平均车速正相关,调控减速强度及减速特征值应充分考虑能见度的影响;通过比较车速超出范围值,指出了需要重点关注车速的时段;实时计算车辆速度差特征平均值与实际碰撞频率正相关,可以用来推测车辆碰撞概率;各时段车辆碰撞概率最高值对应的能见度区间不同,这些能见度区间即车辆碰撞高发区间。

关键词: 雾霾, 能见度, 车辆碰撞概率, 车辆速度模型, 路网数据

Abstract: This study is conducted to explore the influence of road visibility on vehicle collision probability in haze weather. Firstly, relevant data of some road networks in Beijing were collected when haze weather occurs, including road visibility, average velocity of vehicles, driver's visibility and deceleration data, etc. Secondly, through analyzed the collected data, a deceleration characteristic model was constructed to reflect the deceleration characteristics of drivers with different visibility in each time periods when haze weather occurs. Further, a driver's vehicle speed model was constructed to calculate that the range of the vehicle speed exceeds the average road speed with different visibility in each time period when haze weather occurs.Finally, by comparing the average value of velocity difference features obtained from collected data with the actual collision probability, the high incidence regions of vehicle collisions in each time period when haze weather occurs are counted out. The results show that the road visibility is positively correlated with the average velocity of vehicles, and the influence of visibility should be fully considered when adjusting deceleration intensity and deceleration characteristic value. By comparing the values of the range beyond the speed limit, the time period when the vehicle speed needs to be focused on is pointed out.The real-time average value of vehicle speed difference features is positively correlated with the actual collision frequency, which can be used to estimate the vehicle collision probability. The visibility regions corresponding to the highest vehicle collision probability in each time period are different, and these visibility regions are the high incidence regions of vehicle collisions.

Key words: haze, visibility, vehicle collision probability, vehicle velocity model, road network data

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