College of Civil Engineering, Lanzhou Jiaotong University, Lanzhou, China.
School of Urban Construction and Transportation, Hefei University, Hefei, China.
PLoS One. 2022 Aug 26;17(8):e0267559. doi: 10.1371/journal.pone.0267559. eCollection 2022.
A common cause of vehicle crashes on urban expressways lies in the unsafe behaviors of drivers. This study focused on analyzing the influence of various unsafe behaviors on crash duration. Based on actual video image of vehicle crashes, 14 unsafe behaviors were identified for the analysis of crashes on urban expressways. Using the correspondence analysis method, the correlation among unsafe behaviors and collision types was obtained. Nonparametric survival analysis was then presented to obtain the survival rate curves of sideswipe crashes and rear-end crashes. Finally, parametric survival analysis method can get the influence of unsafe behaviors on crash duration. The survival rate of any time was quantified through the reasoning of key unsafe behaviors for different types of crashes. The results show that there were striking differences in the duration among different types of crashes. The unsafe behaviors had a significant impact on duration for different types of crashes. This study focused on the duration under the influence of unsafe behaviors before the crash, and the results provide valuable information to prevent crashes, which can improve traffic safety.
城市快速路上车辆碰撞的一个常见原因在于驾驶员的不安全行为。本研究旨在分析各种不安全行为对碰撞持续时间的影响。基于车辆碰撞的实际视频图像,确定了 14 种不安全行为,用于分析城市快速路上的碰撞事故。使用对应分析方法,获得了不安全行为与碰撞类型之间的相关性。然后提出非参数生存分析方法,得到了侧面碰撞和追尾碰撞的生存率曲线。最后,通过参数生存分析方法可以得到不安全行为对碰撞持续时间的影响。通过对不同类型碰撞的关键不安全行为进行推理,量化了任意时刻的生存率。结果表明,不同类型的碰撞持续时间存在显著差异。不安全行为对不同类型的碰撞持续时间有显著影响。本研究侧重于碰撞前不安全行为对碰撞持续时间的影响,研究结果为预防碰撞提供了有价值的信息,从而提高交通安全。