School of Transportation, Southeast University, Nanjing, Jiangsu, China; Transportation Research Institute, Hasselt University, Diepenbeek, Belgium.
School of Transportation, Southeast University, Nanjing, Jiangsu, China.
Accid Anal Prev. 2024 Jul;202:107613. doi: 10.1016/j.aap.2024.107613. Epub 2024 May 4.
An unreasonable overtaking attempt on two-lane highways could cause drivers to suffer in terms of driving safety, comfort, and efficiency. Several external factors related to the traffic environment (e.g., speed and car type of surrounding vehicles), were found to be the significant factors in drivers' overtaking performance in the previous studies. However, the microscopic decision-making (e.g., the moments of the occupation of the opposite lane) mechanisms during overtaking, by means of which drivers react to changes in the external traffic environment and adjust their overtaking trajectories, are still need to be explored. Hence, this study had three goals: (i) To explore the spatial characteristics of micro-decisions (MDs) (such as the start and end point) in overtaking trajectories; (ii) To measure three types of performance indicators (i.e., safety, comfort, and efficiency) for the execution of overtaking maneuvers; (iii) To quantitatively explain the microscopic decision-making mechanism in overtaking. Data for overtaking trajectories were collected from driving a simulation experiment where 52 Chinese student drivers completed a series of overtaking maneuvers on a typical two-lane highway under different traffic conditions. Two analyses were conducted: firstly, the distributions of the relative distance between the ego and surrounding vehicles at four key points (i.e., the start, entry, back, and end) in the overtaking trajectory were investigated and clustered to uncover the spatial characteristics of the MDs. Secondly, the safety, comfort, and efficiency of the overtaking were measured by the aggregations of multi-targets collision risks, triaxial acceleration variances, and spatial consumptions respectively based on the Data Envelopment Analysis (DEA), which were further applied in a two-stage SEM model to reveal the quantitative interrelationships among the external factors, microscope decisions and performances in overtaking. We confirmed that the MDs could be considered as the mediating variables between the external factors and overtaking performances. In the presence of the more hazardous traffic environment (e.g., faster traffic flow and impeded by a truck), the safety, comfort and efficiency of overtaking would be deteriorated inevitably. But drivers would execute the overtaking under the longer passing sight distance, migrate their trajectories forward, and shorten the spatial duration to significantly improve the overtaking performances. Based on this mechanism, a overtaking trajectory optimization strategy for the advanced or automatic driving system, was confirmed and concluded that 1) the passing gap should be firstly planned according to the sight distance acceptance of different drivers, which directly determine the upper limit of the safety performance in the overtaking; 2) the trajectory forward migration and shortening the whole duration in overtaking could be effective to enhance the overtaking performances of the overtaking on the two-lane highway; 3) the guidance of the stable control of the steering wheel and gas/brake pedals is essential in the overtaking.
在双车道公路上进行不合理的超车尝试可能会导致驾驶员在驾驶安全性、舒适性和效率方面受到影响。先前的研究发现,一些与交通环境相关的外部因素(例如周围车辆的速度和车型)是驾驶员超车性能的重要因素。然而,在超车过程中,驾驶员对外界交通环境变化做出反应并调整超车轨迹的微观决策(例如占用对向车道的时机)机制仍需要进一步探讨。因此,本研究有三个目标:(i)探索超车轨迹中微观决策(MD)的空间特征(例如开始和结束点);(ii)测量超车执行过程中的三种性能指标(即安全性、舒适性和效率);(iii)定量解释超车中的微观决策机制。超车轨迹数据是通过驾驶模拟实验收集的,其中 52 名中国学生驾驶员在不同交通条件下在典型的双车道公路上完成了一系列超车操作。进行了两项分析:首先,研究了超车轨迹中四个关键点(即开始、进入、返回和结束)处自我车辆与周围车辆的相对距离分布,并进行聚类以揭示 MD 的空间特征。其次,基于数据包络分析(DEA),分别通过多目标碰撞风险、三轴加速度方差和空间消耗的聚合来测量超车的安全性、舒适性和效率,然后将这些指标进一步应用于两阶段 SEM 模型中,以揭示超车过程中外部因素、微观决策和性能之间的定量关系。结果表明,MD 可以被视为外部因素与超车性能之间的中介变量。在更危险的交通环境(例如,更快的交通流量和被卡车阻碍)中,超车的安全性、舒适性和效率不可避免地会恶化。但是,驾驶员会在更长的通过视距下执行超车,将轨迹向前迁移,并缩短空间持续时间,从而显著提高超车性能。基于这一机制,为先进或自动驾驶系统确定并总结了一种超车轨迹优化策略,即 1)应根据不同驾驶员的视距接受程度首先规划通过间隙,这直接决定了超车过程中的安全性能上限;2)轨迹向前迁移和缩短整个超车持续时间可以有效地提高双车道公路上的超车性能;3)在超车过程中,转向盘和油门/刹车踏板的稳定控制指导至关重要。