Zhou Huaguo, Zhao Jiguang, Pour-Rouholamin Mahdi, Tobias Priscilla A
a Department of Civil Engineering , Auburn University , Auburn , Alabama.
b CH2M HILL Inc. , Chicago , Illinois.
Traffic Inj Prev. 2015;16(8):760-7. doi: 10.1080/15389588.2015.1020421. Epub 2015 Mar 20.
Driving the wrong way on freeways, namely wrong-way driving (WWD), has been found to be a major concern for more than 6 decades. The purpose of this study was to identify characteristics of this type of crash as well as to rank the locations/interchanges according to their vulnerability to WWD entries.
The WWD crash data on Illinois freeways were statistically analyzed for a 6-year time period (2004 to 2009) from 3 aspects: crash, vehicle, and person. The temporal distributions, geographical distributions, roadway characteristics, and crash locations were analyzed for WWD crashes. The driver demographic information, physical condition, and injury severity were analyzed for wrong-way drivers. The vehicle characteristics, vehicle operation, and collision results were analyzed for WWD vehicles. A method was brought about to identify wrong-way entry points that was then used to develop a relative-importance technique and rank different interchange types in terms of potential WWD incidents.
The findings revealed that a large proportion of WWD crashes occurred during the weekend from midnight to 5 a.m. Approximately 80% of WWD crashes were located in urban areas and nearly 70% of wrong-way vehicles were passenger cars. Approximately 58% of wrong-way drivers were driving under the influence (DUI). Of those, nearly 50% were confirmed to be impaired by alcohol, about 4% were impaired by drugs, and more than 3% had been drinking. The analysis of interchange ranking found that compressed diamond interchanges, single point diamond interchanges (SPDIs), partial cloverleaf interchanges, and freeway feeders had the highest wrong-way crash rates (wrong-way crashes per 100 interchanges per year).
The findings of this study call for more attention to WWD crashes from different aspects such as driver age group, time of day, day of week, and DUI drivers. Based on the analysis results of WWD distance, the study explained why a 5-mile radius of WWD crash location should be studied for WWD fatal crashes with unknown entry points.
在高速公路上逆行,即错误方向驾驶(WWD),在过去六十多年里一直是一个重大问题。本研究的目的是确定此类碰撞事故的特征,并根据其对错误方向驾驶进入的易发性对地点/立交进行排名。
对伊利诺伊州高速公路上6年时间段(2004年至2009年)的错误方向驾驶碰撞数据从碰撞、车辆和人员三个方面进行了统计分析。分析了错误方向驾驶碰撞事故的时间分布、地理分布、道路特征和碰撞地点。分析了逆行驾驶员的人口统计信息、身体状况和受伤严重程度。分析了错误方向驾驶车辆的车辆特征、车辆运行情况和碰撞结果。提出了一种识别错误方向进入点的方法,然后用于开发一种相对重要性技术,并根据潜在的错误方向驾驶事故对不同类型的立交进行排名。
研究结果显示,很大一部分错误方向驾驶碰撞事故发生在周末的午夜至凌晨5点。大约80%的错误方向驾驶碰撞事故发生在城市地区,近70%的逆行车辆是乘用车。大约58%的逆行驾驶员是在受影响状态下驾驶(DUI)。其中,近50%被证实是酒精影响,约4%是药物影响,超过3%是饮酒影响。立交排名分析发现,压缩菱形立交、单点菱形立交(SPDI)、部分苜蓿叶式立交和高速公路支线的错误方向碰撞率最高(每年每100个立交的错误方向碰撞事故数)。
本研究结果呼吁从不同方面,如驾驶员年龄组、一天中的时间、一周中的日期和酒驾驾驶员等,更多地关注错误方向驾驶碰撞事故。基于错误方向驾驶距离的分析结果,该研究解释了为什么对于进入点不明的错误方向驾驶致命碰撞事故,应研究以事故地点为中心半径5英里的区域。