Transport Safety Research Centre, Loughborough University, UK.
Accid Anal Prev. 2013 Nov;60:445-55. doi: 10.1016/j.aap.2012.03.031. Epub 2012 Apr 21.
Distraction and inattention are considered to be very important and prevalent factors in the causation of road accidents. There have been many recent research studies which have attempted to understand the circumstances under which a driver becomes distracted or inattentive and how distraction/inattention can be prevented. Both factors are thought to have become more important in recent times partly due to the evolution of in-vehicle information and communication technology. This study describes a methodology that was developed to understand when factors such as distraction and inattention may have been contributors to crashes and also describes some of the consequences of distraction and inattention in terms of subsequent driver actions. The study uses data relating to distraction and inattention from the SafetyNet Accident Causation Database. This database was formulated as part of the SafetyNet project to address the lack of representative in-depth accident causation data within the European Union. Data were collected in 6 European countries using 'on-scene' and 'nearly on-scene' crash investigation methodologies. 32% of crashes recorded in the database, involved at least one driver, rider or pedestrian, who was determined to be 'Inattentive' or 'Distracted'. 212 of the drivers were assigned 'Distraction' and 140 drivers were given the code 'Inattention'. It was found that both distraction and inattention often lead to missed observations within the driving task and consequently 'Timing' or 'Direction' become critical events in the aetiology of crashes. In addition, the crash types and outcomes may differ according to the type and nature of the distraction and inattention as determined by the in-depth investigations. The development of accident coding methodology is described in this study as is its evolution into the Driver Reliability and Error Analysis Model (DREAM) version 3.0.
分心和注意力不集中被认为是导致道路交通事故的非常重要和普遍的因素。最近有许多研究试图了解驾驶员分心或注意力不集中的情况,以及如何防止分心/注意力不集中。这两个因素在最近变得更加重要,部分原因是车内信息和通信技术的发展。本研究描述了一种方法,用于了解分心和注意力不集中等因素何时可能成为事故的原因,并描述了分心和注意力不集中在随后的驾驶员行为方面的一些后果。该研究使用了来自 SafetyNet 事故因果关系数据库的与分心和注意力不集中相关的数据。该数据库是作为 SafetyNet 项目的一部分制定的,旨在解决欧盟内缺乏代表性的深入事故因果关系数据的问题。该数据是在 6 个欧洲国家使用“现场”和“近乎现场”的事故调查方法收集的。数据库中记录的 32%的事故涉及至少一名驾驶员、骑手或行人,他们被确定为“注意力不集中”或“分心”。数据库中有 212 名驾驶员被分配了“分心”代码,140 名驾驶员被分配了“注意力不集中”代码。研究发现,分心和注意力不集中通常会导致驾驶任务中的观察遗漏,因此“时间”或“方向”成为事故病因学中的关键事件。此外,根据深入调查确定的分心和注意力不集中的类型和性质,事故类型和结果可能会有所不同。本研究描述了事故编码方法的发展,以及其演变为驾驶员可靠性和错误分析模型(DREAM)版本 3.0。