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首页> 外文期刊>Accident Analysis & Prevention >Analysis of work zone rear-end crash risk for different vehicle-following patterns
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Analysis of work zone rear-end crash risk for different vehicle-following patterns

机译:不同跟车方式的工作区追尾事故风险分析

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摘要

This study evaluates rear-end crash risk associated with work zone operations for four different vehicle-following patterns: car-car, car-truck, truck-car and truck-truck. The deceleration rate to avoid the crash (DRAC) is adopted to measure work zone rear-end crash risk. Results show that the car-truck following pattern has the largest rear-end crash risk, followed by truck-truck, truck-car and car-car patterns. This implies that it is more likely for a car which is following a truck to be involved in a rear-end crash accident. The statistical test results further confirm that rear-end crash risk is statistically different between any two of the four patterns. We therefore develop a rear-end crash risk model for each vehicle-following pattern in order to examine the relationship between rear-end crash risk and its influencing factors, including lane position, the heavy vehicle percentage, lane traffic flow and work intensity which can be characterized by the number of lane reductions, the number of workers and the amount of equipment at the work zone site. The model results show that, for each pattern, there will be a greater rear-end crash risk in the following situations: (ⅰ) heavy work intensity; (ⅱ) the lane adjacent to work zone; (ⅲ) a higher proportion of heavy vehicles and (ⅳ) greater traffic flow. However, the effects of these factors on rear-end crash risk are found to vary according to the vehicle-following patterns. Compared with the car-car pattern, lane position has less effect on rear-end crash risk in the car-truck pattern. The effect of work intensity on rear-end crash risk is also reduced in the truck-car pattern.
机译:这项研究针对以下四种不同的车辆跟踪模式评估了与工作区操作相关的追尾事故风险:汽车,卡车,卡车,卡车和卡车。采用避免撞车的减速率(DRAC)来测量工作区后端撞车风险。结果表明,随车跟随模式具有最大的追尾事故风险,其次是随车模式,随车模式和随车模式。这意味着跟随卡车的汽车更有可能发生追尾事故。统计测试结果进一步证实,四种模式中的任何两种在后端碰撞风险上在统计上都是不同的。因此,我们针对每种车辆跟踪模式开发了一个后端碰撞风险模型,以检查后端碰撞风险及其影响因素之间的关系,包括车道位置,重型车辆百分比,车道交通流量和工作强度,其特点是减少车道数量,工人人数和工作区现场的设备数量。模型结果表明,在以下情况下,每种模式的追尾风险更高:(:)工作强度大; (ⅱ)工作区附近的行车线; (ⅲ)重型车辆比例更高,(and)交通流量更大。然而,发现这些因素对追尾事故风险的影响根据车辆跟随方式而变化。与汽车模式相比,车道位置对汽车模式中的后端碰撞风险影响较小。在卡车模式中,工作强度对追尾事故风险的影响也降低了。

著录项

  • 来源
    《Accident Analysis & Prevention 》 |2014年第11期| 449-457| 共9页
  • 作者单位

    MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;

    Department of Civil and Environmental Engineering, National University of Singapore, 117576 Singapore, Singapore;

    MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vehicle-following pattern; Rear-end crash; Work intensity; Work zone;

    机译:车辆跟随模式;追尾撞车;工作强度;工作区;

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