a Virginia Tech Transportation Institute , Blacksburg , Virginia.
Traffic Inj Prev. 2015;16(2):124-32. doi: 10.1080/15389588.2014.923566. Epub 2014 Oct 15.
We explored drivers' mobile device use and its associated risk of a safety-critical event (SCE) in specific driving contexts. Our premise was that the SCE risk associated with mobile device use increases when the driving task becomes demanding.
Data from naturalistic driving studies involving commercial motor vehicle drivers and light vehicle drivers were partitioned into subsets representative of specific driving contexts. The subsets were generated using data set attributes that included level of service and relation to junction. These attributes were selected based on exogenous factors known to alter driving task demands. The subsets were analyzed using a case-cohort approach, which was selected to complement previous investigations of mobile device SCE risk using naturalistic driving data.
Both commercial motor vehicle and light vehicle drivers varied as to how much they conversed on a mobile device but did not vary their engagement in visual-manual subtasks. Furthermore, commercial motor vehicle drivers conversed less frequently as the driving task demands increased, whereas light vehicle drivers did not. The risk of an SCE associated with mobile device use was dependent on the subtask performed and the driving context. Only visual-manual subtasks were associated with an increased SCE risk, whereas conversing was associated with a decreased risk in some driving contexts.
Drivers' engagement in mobile device subtasks varies by driving context. The SCE risk associated with mobile device use is dependent on the types of subtasks performed and the driving context. The findings of this exploratory study can be applied to the design of driver-vehicle interfaces that mitigate distraction by preventing visual-manual subtasks while driving.
我们探讨了驾驶员在特定驾驶情境下使用移动设备及其相关安全关键事件(SCE)风险的因素。我们的前提是,当驾驶任务变得更具挑战性时,与移动设备使用相关的 SCE 风险会增加。
本研究将涉及商业机动车驾驶员和轻型车辆驾驶员的自然驾驶研究数据分为特定驾驶情境的子集。这些子集是使用包括服务水平和与路口关系在内的数据集属性生成的,这些属性是基于已知会改变驾驶任务需求的外生因素选择的。使用病例队列方法对这些子集进行分析,该方法是为了补充使用自然驾驶数据对移动设备 SCE 风险进行的先前研究而选择的。
商业机动车和轻型车辆驾驶员在使用移动设备通话的频率上存在差异,但在视觉-手动子任务的参与度上没有差异。此外,随着驾驶任务需求的增加,商业机动车驾驶员的通话频率降低,而轻型车辆驾驶员则没有。与移动设备使用相关的 SCE 风险取决于执行的子任务和驾驶情境。只有视觉-手动子任务与 SCE 风险增加相关,而在某些驾驶情境中,通话与降低风险相关。
驾驶员在移动设备子任务上的参与度因驾驶情境而异。与移动设备使用相关的 SCE 风险取决于执行的子任务类型和驾驶情境。这项探索性研究的结果可应用于驾驶员-车辆界面的设计,通过在驾驶时防止视觉-手动子任务来减轻分心。