【24h】

Risk factors for the injury severity of fatigue-related traffic accidents

机译:疲劳相关交通事故伤害严重程度的危险因素

获取原文

摘要

Traffic accidents caused by drivers' fatigue carry less than one percent of the whole accidents in HLJ Province during the years 2006 to 2008. However, more than forty percent of such accidents accompanied fatalities. Drivers' fatigue is usually hard to be identified and there are no valid measures that could make real-time detection for it. Accordingly, variables such as drivers' characteristics, time of accident and whether using seat belt are considered to have close association with the injury severity in fatigue-related traffic accidents. This research focuses on analyzing injury severities of traffic accidents caused by drivers' fatigue, utilizing stepwise logistic regression method. Potential risk factors such as human, environment, road, and so on, were examined. Driving year, road pavement type, road grade and alignment, terrain, time and type of the accident, streetlight condition, vehicle type, speed limit, the number of vehicles involved, and whether using seat belt are significant factors impacting the injury severity. Identifying the high risk factors influencing the injury severity of fatigue-related accidents helps prevent the occurrence of drivers' fatigue and improve road safety conditions.
机译:2006年至2008年,司机疲劳造成的司机疲劳造成的交通事故占HLJ省全部发生的百分之一。但是,伴随着死亡的事故超过了四十百分之一。通常很难确定司机的疲劳,并且没有有效的措施可以对其进行实时检测。因此,诸如驾驶员的特性,事故时间和使用安全带的变量被认为与疲劳相关的交通事故中的伤害严重程度密切相关。本研究侧重于分析驾驶员疲劳引起的交通事故伤害严重程度,利用逐步逻辑回归方法。检查了人,环境,道路等潜在风险因素。驾驶年,道路路面类型,道路等级和对准,地形,时间和类型的事故,路灯条件,车辆类型,速度限制,所涉及的车辆数量,以及使用安全带是否有重大因素影响伤害严重程度。确定影响疲劳相关事故损伤严重程度的高风险因素有助于防止司机疲劳的发生,改善道路安全条件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号