Texas A&M University, 3135 TAMU, College Station, TX 77843-3135, United States.
Texas A&M Transportation Institute, 1111 RELLIS Parkway, Bryan, TX 77807, United States.
Accid Anal Prev. 2021 Mar;152:106012. doi: 10.1016/j.aap.2021.106012. Epub 2021 Feb 9.
Phone use while driving (PUWD) is one of the most crucial factors of distraction related traffic crashes. This study utilized an unsupervised learning method, known as factor analysis, on a unique distracted driving dataset to understand PUWD behavior from the roadway geometry and operational perspectives. The results indicate that the presence of a shoulder, median, and access control on the relatively higher functional class roadways could encourage more PUWD events. The roadways with relatively lower speed limits could have high PUWD event occurrences if the variation in operating speed is high. The results also confirm the correlations between the frequency of PUWD events and the frequency of distracted crashes. This relationship is strong on urban roadways. For rural roadways, this correlation is only strong on the roadways with a large amount of PUWD events. The findings could help transportation agencies to identify suitable countermeasures in reducing distraction related crashes. Moreover, this study provides researchers a new perspective to study PUWD behavior rather than only focus on drivers' personalities.
开车时使用手机(PUWD)是导致与分心相关的交通事故的最重要因素之一。本研究利用一种无监督学习方法,即因子分析,对一个独特的分心驾驶数据集进行分析,从道路几何形状和操作角度理解 PUWD 行为。结果表明,在功能等级较高的道路上,如果存在路肩、中央隔离带和出入口控制,可能会鼓励更多的 PUWD 事件发生。如果运行速度变化较大,限速相对较低的道路可能会发生较多的 PUWD 事件。研究结果还证实了 PUWD 事件频率与分心事故频率之间的相关性。这种关系在城市道路上很强。对于农村道路,这种相关性仅在 PUWD 事件较多的道路上很强。这些发现可以帮助交通管理机构确定合适的对策,以减少与分心相关的事故。此外,本研究为研究人员提供了一个新的视角来研究 PUWD 行为,而不仅仅关注驾驶员的个性。