This study examines various features affecting the severity associated with commercial motor vehicle (CMV, i.e., large truck and bus) head-on collisions on Kentucky highways. Recent five-year (2015–2019) crash data and variables rarely explored before (e.g., presence of centerline rumble strips, type of passing zone, and terrain type) were collected and prepared using Google Maps. A total of 378 CMV-related head-on collisions were analyzed. The generalized ordered probit (GOP) model was employed to identify the significant factors affecting the severity level resulting from CMV head-on collisions. The model allows the coefficients to vary across the injury severity categories for reliable parameter estimations. From the preliminary investigation, rolling terrains had the highest share of severe CMV head-on crashes (62% and 71% for multilane and two-lane roadways, respectively). The presence of centerline rumble strips could reduce severe crash outcomes along multilane and two-lane facilities. The GOP model identified various significant predictors of minor and severe injuries from CMV head-on crashes. Occupants wearing seatbelt were 39.3% less likely to sustain severe head-on crash injuries. From the roadway characteristics, presence of median cable and concrete barriers could significantly reduce the probability of severe head-on crash injuries, with median cables being more effective. With regard to the driver characteristics, drug impairment and speeding increased the risk of sustaining fatal/serious injuries by 39.5% and 26.4%, respectively. Necessary safety recommendations are proposed to reduce the severity of CMV head-on-related collisions. One example is installing median cable barriers along roadway stretches with a history of head-on CMV-related crashes.

这项研究考察了影响肯塔基州高速公路上商用汽车（CMV，即大型卡车和公共汽车）正面碰撞的严重程度的各种特征。使用Google Maps收集和准备最近五年（2015-2019年）以前很少探索的崩溃数据和变量（例如，中心线隆隆带的存在，通过区域的类型和地形类型）。总共分析了378次与CMV相关的正面碰撞。使用广义有序概率（GOP）模型来识别影响CMV正面碰撞导致的严重性级别的重要因素。该模型允许系数在伤害严重性类别之间变化，以进行可靠的参数估计。从初步调查来看 滚动地形在严重CMV正面撞车事故中所占比例最高（多车道和两车道道路分别为62％和71％）。中心线隆隆声带的存在可以减少多车道和两车道设施严重的碰撞后果。GOP模型确定了CMV正面碰撞造成的轻度和重度伤害的各种重要预测指标。系好安全带的乘客遭受严重的正面碰撞伤害的可能性降低了39.3％。从巷道特征来看，中间电缆和混凝土屏障的存在可以显着降低严重的正面碰撞伤害的可能性，其中中间电缆更为有效。关于驾驶员的特征，药物损害和超速驾驶分别使致命/严重伤害的风险分别增加了39.5％和26.4％。提出了必要的安全建议，以减少与CMV正面相关的碰撞的严重性。一个示例是在沿路段安装中性电缆屏障，并具有与CMV正面碰撞相关的历史记录。