Li Qing-Qing, Zhang Hong-Bin, Sun Guang-Hui, Han Yu, Liu Hao-Jie
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong, China.
Traffic Inj Prev. 2025;26(6):703-710. doi: 10.1080/15389588.2024.2447088. Epub 2025 Feb 21.
The complex alignment of 2-lane roads results in a higher risk of traffic crashes. This study aims to identify key factors influencing vehicle driving states on curves.
Five curve radii were selected to create simulated driving scenarios. Vehicle operation data were collected from 36 drivers using a driving simulator. Vehicle speed and lateral lane position were chosen as indicators of driving states. A 3-factor analysis of variance (ANOVA) was conducted to assess the effects of curve radius, curve direction, and curve position on driving speed and lateral lane position. Polynomial fitting models were also developed to examine the relationship between curve radius, mean speed, and mean lateral lane position magnitude.
Curve radius had the most significant effect on driving speed (partial η = 0.536), and curve position had the greatest influence on lateral lane position (partial η = 0.283). The polynomial fitting models for right turns (adjusted = 0.768) and left turns (adjusted = 0.754) both exhibited adjusted values greater than 0.75, indicating that the models adequately explain the relationships among the 3 variables.
Smaller curve radii result in lower average driving speeds. In the circular curve sections of the road, lateral lane position tends to be larger. As curve radius decreases, the influence of driving speed on lateral lane position magnitude becomes more pronounced. Higher average speeds on curves are associated with larger lateral lane position magnitudes. Under the same speed conditions, vehicles making left turns exhibit larger lateral lane position magnitudes compared to those making right turns. These findings highlight the significant impact of curve geometry on vehicle driving behavior, providing insights for curve alignment design.
双车道道路的复杂线形会导致交通事故风险升高。本研究旨在确定影响车辆在弯道上行驶状态的关键因素。
选取五个曲线半径以创建模拟驾驶场景。使用驾驶模拟器从36名驾驶员处收集车辆运行数据。选择车速和横向车道位置作为驾驶状态指标。进行三因素方差分析（ANOVA）以评估曲线半径、曲线方向和曲线位置对行驶速度和横向车道位置的影响。还开发了多项式拟合模型来检验曲线半径、平均速度和平均横向车道位置大小之间的关系。
曲线半径对行驶速度影响最为显著（偏η = 0.536），曲线位置对横向车道位置影响最大（偏η = 0.283）。右转（调整后 = 0.768）和左转（调整后 = 0.754）的多项式拟合模型的调整后 值均大于0.75，表明模型充分解释了这三个变量之间的关系。
较小的曲线半径导致较低的平均行驶速度。在道路的圆曲线段，横向车道位置往往更大。随着曲线半径减小，行驶速度对横向车道位置大小的影响变得更加明显。弯道上较高的平均速度与较大的横向车道位置大小相关。在相同速度条件下，左转车辆相比右转车辆表现出更大的横向车道位置大小。这些发现突出了曲线几何形状对车辆驾驶行为的重大影响，为曲线线形设计提供了见解。
