An analysis of factors influencing driver action on downgrade crashes using the mixed logit analysis

IF 2.4 3区 工程技术 Q3 TRANSPORTATION
Milhan Moomen, Mahdi Rezapour, K. Ksaibati
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引用次数: 2

Abstract

Abstract Crash rates from national and state sources conclusively show that vehicles of all types are prone to crashes on Wyoming downgrades. Crashes on steep downgrades are exacerbated by difficult terrain and an increase in the driving task required to safely navigate such landscape. An important step to evaluate safety on downgrades is to analyze the effects of driver action due to its influence on vehicle operation and crash outcomes. This analysis is critical due to the difference in vehicle dynamics on downgrades compared to level sections. However, most studies on driver action have been disparate and not focused on downgrades. This has led do a dearth of literature on the subject. This paper developed mixed (random parameter) logit models to evaluate factors impacting driver action on downgrades for single- and multiple-vehicle crashes. The approach accounts for unobserved heterogeneity potentially related to crash characteristics, driver factors, and road surface condition. The results were mostly consistent with previous studies, but some unexpected results were highlighted and explained in the light of published literature and engineering intuition.
用混合logit分析影响降级事故驾驶员行为的因素
来自国家和州的撞车率确凿地表明,所有类型的车辆都容易在怀俄明州降级时发生撞车事故。复杂的地形和安全行驶所需的驾驶任务增加,加剧了陡坡上的撞车事故。评估降级安全性的一个重要步骤是分析驾驶员行为对车辆运行和碰撞结果的影响。这一分析是至关重要的,因为与水平路段相比,车辆在降级路段的动力学是不同的。然而,大多数关于司机行为的研究都是不同的,并且没有关注降级。这导致了关于这个主题的文献的缺乏。本文建立了混合(随机参数)logit模型来评估影响单车和多车碰撞中驾驶员降级行为的因素。该方法解释了未观察到的异质性,可能与碰撞特征、驾驶员因素和路面状况有关。结果与以往的研究基本一致,但也有一些意想不到的结果被突出,并结合已发表的文献和工程直觉进行了解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
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