Dawson Jeffrey D, Uc Ergun Y, Anderson Steven W, Dastrup Elizabeth, Johnson Amy M, Rizzo Matthew
Department of Biostatistics, University of Iowa Iowa City, IA, USA.
Proc Int Driv Symp Hum Factors Driv Assess Train Veh Des. 2009 Dec 1;2009:419-426. doi: 10.17077/drivingassessment.1352.
Using an instrumented vehicle, we have studied several aspects of the on-road performance of healthy and diseased elderly drivers. One goal from such studies is to ascertain the type and frequency of driving safety errors. Because the judgment of such errors is somewhat subjective, we applied a taxonomy system of 15 general safety error categories and 76 specific safety error types. We also employed and trained professional driving instructors to review the video data of the on-road drives. In this report, we illustrate our rating system on a group of 111 drivers, ages 65 to 89. These drivers made errors in 13 of the 15 error categories, comprising 42 of the 76 error types. A mean (SD) of 35.8 (12.8) safety errors per drive were noted, with 2.1 (1.7) of them being judged as serious. Our methodology may be useful in applications such as intervention studies, and in longitudinal studies of changes in driving abilities in patients with declining cognitive ability.
我们使用一辆装备了仪器的车辆,研究了健康和患病老年驾驶员的道路行驶性能的几个方面。此类研究的一个目标是确定驾驶安全错误的类型和频率。由于此类错误的判断在一定程度上具有主观性,我们应用了一个包含15个一般安全错误类别和76种特定安全错误类型的分类系统。我们还聘请并培训了专业驾驶教练来审查道路行驶的视频数据。在本报告中,我们展示了针对111名年龄在65岁至89岁之间的驾驶员的评分系统。这些驾驶员在15个错误类别中的13个类别中出现了错误,涵盖了76种错误类型中的42种。每次驾驶平均(标准差)出现35.8(12.8)次安全错误,其中2.1(1.7)次被判定为严重错误。我们的方法可能在干预研究等应用中以及在认知能力下降患者驾驶能力变化的纵向研究中有用。