Developing Safety Performance Functions for Severe Distraction-Related Crashes along Kentucky’s Rural and Urban Two-Lane Roadways

Arunabha Banerjee, Bharat Kumar Pathivada, Kirolos Haleem, Dylan Justice, Evan Brittenham, Joshua Oliver
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Abstract

This study develops safety performance functions (SPFs) for severe (“KA” or “fatal and suspected serious injury”) distraction-related crashes along Kentucky’s rural and urban two-lane undivided roadway segments using recent four-year (2018–2021) crash records. Additional efforts were made to meticulously scrutinize crash narratives categorized as non-distracted and correct those cases. To account for crash under-dispersion, the Conway–Maxwell–Poisson, heterogeneous Conway–Maxwell–Poisson, zero-inflated Conway–Maxwell–Poisson, and zero-inflated heterogeneous Conway–Maxwell–Poisson (ZI-HTCMP) models were fitted and compared. The ZI-HTCMP model outperformed the other models with respect to several goodness-of-fit measures (e.g., mean absolute deviance and mean square prediction error). From the developed SPFs for rural and urban two-lane roads, wider lanes and higher speed limits (55 mph) were associated with increased severe distraction-related crash frequencies. Furthermore, some variables were found to be significant in rural areas, but insignificant in urban areas, and vice versa. For example, major collector roads, minor collector/local roads, the presence of roadside guardrails, wider right-hand shoulders, the presence of horizontal curves, and the presence of vertical grades were associated with increased crash frequencies along rural two-lane roads. In addition, the proportion of heavy vehicles (>5%) and the existence of paved shoulders were associated with increased crashes along urban two-lane roads. The empirical Bayes method was then used to rank the top 10 distraction-related high crash locations (HCLs) for both rural and urban two-lane segments. In-depth investigation of HCLs highlighted single-vehicle distraction-related crashes as the most common collision type. Countermeasures were proposed to help reduce severe distraction-related crashes, for example, installing chevron signs along rural two-lane roads.
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为肯塔基州乡村和城市双车道公路上与严重分心有关的交通事故制定安全性能函数
本研究利用最近四年(2018-2021 年)的碰撞记录,为肯塔基州农村和城市双车道不分隔路段与分心相关的严重("KA "或 "致命和疑似重伤")碰撞事故制定了安全性能函数 (SPF)。此外,还对归类为非分心的碰撞事故叙述进行了细致的检查,并对这些案例进行了纠正。为了考虑碰撞的低分散性,对康威-麦克斯韦-泊松模型、异质康威-麦克斯韦-泊松模型、零膨胀康威-麦克斯韦-泊松模型和零膨胀异质康威-麦克斯韦-泊松模型(ZI-HTCMP)进行了拟合和比较。ZI-HTCMP 模型的拟合优度(如平均绝对偏差和均方预测误差)优于其他模型。从为农村和城市双车道道路开发的 SPFs 来看,更宽的车道和更高的车速限制(55 英里/小时)与严重分心相关的碰撞频率增加有关。此外,一些变量在农村地区显著,但在城市地区不显著,反之亦然。例如,主要集散道路、次要集散道路/地方道路、路边护栏的存在、较宽的右侧路肩、水平弯道的存在以及垂直坡度的存在都与农村双车道道路碰撞频率的增加有关。此外,重型车辆的比例(5%)和路肩的铺设也与城市双车道道路碰撞事故的增加有关。然后,使用经验贝叶斯法对农村和城市双车道路段中与分心有关的前 10 个高碰撞地点(HCL)进行了排名。对高碰撞地点的深入调查表明,单车分心相关碰撞是最常见的碰撞类型。为帮助减少与分心有关的严重碰撞事故,提出了一些对策,例如在乡村双车道公路上安装楔形标志。
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