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单辆货车在工作区和非工作区事故中驾驶员伤害严重程度的实证分析。

An empirical analysis of driver injury severities in work-zone and non-work-zone crashes involving single-vehicle large trucks.

机构信息

Virginia Tech Transportation Institute, Blacksburg, Virginia.

出版信息

Traffic Inj Prev. 2022;23(7):398-403. doi: 10.1080/15389588.2022.2101643. Epub 2022 Jul 27.

Abstract

OBJECTIVES

Florida ranks among the states with the highest rates of work-zone crashes involving large trucks. With significant emphasis in Florida's strategic highway safety plan, understanding work-zone crashes involving large trucks and resulting injury severities is critically important. This study investigated the contributing factors influencing the driver injury severity of single-large-truck crashes in work zones, benchmarked against non-work zones in Florida.

METHODS

Using work-zone and non-work-zone crash data from 2011 to 2019 (inclusive), driver-injury severities in single-large trucks crashes were studied using random parameters logit models that allow for possible heterogeneity in the means and variances of parameter estimates. The available data included a wide variety of factors known to influence driver injury severity, including spatial and temporal; vehicle and traffic; roadway, harmful events, and driver characteristics.

RESULTS

The model estimates produced fundamental shift in unobserved heterogeneity for work-zone and non-work-zone crashes involving single large trucks. More importantly, the likelihood of large truck drivers' injury severity is about fourteen-times higher on rural and six-times higher on urban interstate highways and 1.3 times lower with 10 miles per hour below the posted speed limit for large trucks inside work zones relative to non-work zones. The model results also indicate that the likelihood of severe driver injury is higher for heavy truck (more than 26000 pounds), a lane-shift work-zone configuration, and careless driving in work-zone crashes involving single large trucks.

CONCLUSIONS

The model findings add valuable insights to have profound effects in the safety performance of large trucks and in-vehicle safety technologies, such as, Advanced Driver Assistance Systems, for careful driving along the work-zone segments with lower speed, leading to Automated Driving Systems. These measures include various policy-related safety countermeasures including revisiting traffic control plan for lane-shift on highways specifically for large trucks and developing training modules for Florida registered truck drivers.

摘要

目的

佛罗里达州的工作区大型卡车碰撞事故发生率位居全美前列。佛罗里达州的战略公路安全计划高度重视这一问题,因此深入了解工作区大型卡车碰撞事故及其导致的伤害严重程度至关重要。本研究调查了影响工作区单一大卡车碰撞事故中驾驶员受伤严重程度的因素,并与佛罗里达州非工作区进行了对比。

方法

利用 2011 年至 2019 年(包括该两年)的工作区和非工作区碰撞数据,使用随机参数对数模型研究了单一大卡车碰撞事故中驾驶员受伤严重程度,该模型允许参数估计的均值和方差存在可能的异质性。可用数据包括已知会影响驾驶员受伤严重程度的各种因素,包括空间和时间;车辆和交通;道路、危害事件和驾驶员特征。

结果

模型估计结果对工作区和非工作区单一大卡车碰撞事故的未观察到的异质性产生了根本性的转变。更重要的是,与非工作区相比,在农村地区工作区的大型卡车驾驶员受伤严重的可能性高出约 14 倍,在城市州际公路上高出约 6 倍,在工作区大型卡车限速 10 英里/小时以下的情况下,受伤严重的可能性低 1.3 倍。模型结果还表明,在工作区涉及单一大卡车的碰撞事故中,重型卡车(超过 26000 磅)、车道变换工作区配置和粗心驾驶的情况下,驾驶员严重受伤的可能性更高。

结论

模型研究结果为大型卡车的安全性能和车内安全技术(如先进驾驶员辅助系统)提供了有价值的见解,这些技术可以在工作区速度较低的路段实现自动驾驶系统。这些措施包括各种与政策相关的安全对策,包括重新审视高速公路上大型卡车专用车道变换的交通控制计划,并为佛罗里达州注册的卡车司机开发培训模块。

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