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Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways

机译:农村公路上单车和多车事故中卡车司机的伤害严重性

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摘要

In adverse driving conditions, such as inclement weather and/or complex terrain, trucks are often involved in single-vehicle (SV) accidents in addition to multi-vehicle (MV) accidents. Ten-year accident data involving trucks on rural highway from the Highway Safety Information System (HSIS) is studied to investigate the difference in driver-injury severity between SV and MV accidents by using mixed logit models. Injury severity from SV and MV accidents involving trucks on rural highways is modeled separately and their respective critical risk factors such as driver, vehicle, temporal, roadway, environmental and accident characteristics are evaluated. It is found that there exists substantial difference between the impacts from a variety of variables on the driver-injury severity in MV and SV accidents. By conducting the injury severity study for MV and SV accidents involving trucks separately, some new or more comprehensive observations, which have not been covered in the existing studies can be made. Estimation findings indicate that the snow road surface and light traffic indicators will be better modeled as random parameters in SV and MV models respectively. As a result, the complex interactions of various variables and the nature of truck-driver injury are able to be disclosed in a better way. Based on the improved understanding on the injury severity of truck drivers from truck-involved accidents, it is expected that more rational and effective injury prevention strategy may be developed for truck drivers under different driving conditions in the future.
机译:在恶劣的驾驶条件下,例如恶劣的天气和/或复杂的地形,除了多车(MV)事故外,卡车通常还涉及单车(SV)事故。公路安全信息系统(HSIS)研究了涉及农村公路卡车的十年事故数据,以使用混合logit模型调查SV和MV事故之间驾驶员伤害严重性的差异。分别对乡村公路上涉及卡车的SV和MV事故造成的伤害严重程度进行建模,并评估它们各自的关键风险因素,例如驾驶员,车辆,时间,道路,环境和事故特征。发现在MV和SV事故中,各种变量对驾驶员伤害严重性的影响之间存在实质性差异。通过分别对涉及卡车的MV和SV事故进行伤害严重性研究,可以得出一些新的或更全面的观察结果,而现有研究并未涵盖这些观察结果。估计结果表明,在SV和MV模型中,将雪路面和轻交通指标分别更好地建模为随机参数。结果,可以以更好的方式揭示各种变量的复杂相互作用以及卡车驾驶员受伤的性质。基于对卡车事故造成的卡车司机伤害严重程度的加深了解,预计将来在不同的驾驶条件下,卡车司机会制定更加合理有效的伤害预防策略。

著录项

  • 来源
    《Accident Analysis & Prevention》 |2011年第5期|p.1677-1688|共12页
  • 作者

    Feng Chen; Suren Chen;

  • 作者单位

    Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80523, United States;

    Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80523, United States;

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

    trucks; injury severity; rural highway; mixed logit model;

    机译:卡车;伤害严重程度;农村公路;混合logit模型;

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