College of Computing and Informatics, Drexel University, Philadelphia, PA 19104, United States.
College of Computing and Informatics, Drexel University, Philadelphia, PA 19104, United States.
J Safety Res. 2021 Dec;79:45-50. doi: 10.1016/j.jsr.2021.08.003. Epub 2021 Aug 17.
Studies thus far have focused on automobile accidents that involve driver distraction. However, it is hard to discern whether distraction played a role if fault designation is missing because an accident could be caused by an unexpected external event over which the driver has no control. This study seeks to determine the effect of distraction in driver-at-fault events.
Two generalized linear mixed models, one with at-fault safety critical events (SCE) and the other with all-cause SCEs as the outcomes, were developed to compare the odds associated with common distraction types using data from the SHRP2 naturalistic driving study.
Adjusting for environment and driver variation, 6 of 10 common distraction types significantly increased the risk of at-fault SCEs by 20-1330%. The three most hazardous sources of distraction were handling in-cabin objects (OR = 14.3), mobile device use (OR = 2.4), and external distraction (OR = 1.8). Mobile device use and external distraction were also among the most commonly occurring distraction types (10.1% and 11.0%, respectively).
Focusing on at-fault events improves our understanding of the role of distraction in potentially avoidable automobile accidents. The in-cabin distraction that requires eye-hand coordination presents the most danger to drivers' ability in maintaining fault-free, safe driving. Practical Applications: The high risk of at-fault SCEs associated with in-cabin distraction should motivate the smart design of the interior and in-vehicle information system that requires less visual attention and manual effort.
迄今为止的研究主要集中在涉及驾驶员分心的汽车事故上。然而,如果由于事故是由驾驶员无法控制的意外外部事件引起的,而没有指定责任,那么很难确定分心是否起了作用。本研究旨在确定分心对驾驶员有责事故的影响。
使用 SHRP2 自然驾驶研究的数据,开发了两个广义线性混合模型,一个用于有责任的安全关键事件 (SCE),另一个用于所有原因的 SCE 作为结果,以比较常见分心类型的关联几率。
调整环境和驾驶员变化后,10 种常见分心类型中有 6 种使有责 SCE 的风险增加了 20-1330%。三个最危险的分心源是处理车内物体(OR=14.3)、使用移动设备(OR=2.4)和外部分心(OR=1.8)。移动设备使用和外部分心也是最常见的分心类型之一(分别为 10.1%和 11.0%)。
关注有责事件可以帮助我们更好地理解分心在潜在可避免的汽车事故中的作用。需要眼手协调的车内分心对驾驶员保持无过失、安全驾驶的能力构成了最大威胁。
与车内分心相关的有责 SCE 风险很高,这应该促使我们设计出需要更少视觉注意和手动努力的智能内饰和车载信息系统。