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Reliability of drivers in urban intersections

机译:城市交叉路口驾驶员的可靠性

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The concept of human reliability has been widely used in industrial settings by human factors experts to optimise the person-task fit. Reliability is estimated by the probability that a task will successfully be completed by personnel in a given stage of system operation. Human Reliability Analysis (HRA) is a technique used to calculate human error probabilities as the ratio of errors committed to the number of opportunities for that error. To transfer this notion to the measurement of car driver reliability the following components are necessary: a taxonomy of driving tasks, a definition of correct behaviour in each of these tasks, a list of errors as deviations from the correct actions and an adequate observation method to register errors and opportunities for these errors. Use of the SAFE-task analysis procedure recently made it possible to derive driver errors directly from the normative analysis of behavioural requirements. Driver reliability estimates could be used to compare groups of tasks (e.g. different types of intersections with their respective regulations) as well as groups of drivers' or individual drivers' aptitudes. This approach was tested in a field study with 62 drivers of different age groups. The subjects drove an instrumented car and had to complete an urban test route, the main features of which were 18 intersections representing six different driving tasks. The subjects were accompanied by two trained observers who recorded driver errors using standardized observation sheets. Results indicate that error indices often vary between both the age group of drivers and the type of driving task. The highest error indices occurred in the non-signalised intersection tasks and the roundabout, which exactly equals the corresponding ratings of task complexity from the SAFE analysis. A comparison of age groups clearly shows the disadvantage of older drivers, whose error indices in nearly all tasks are significantly higher than those of the other groups. The vast majority of these errors could be explained by high task load in the intersections, as they represent difficult tasks. The discussion shows how reliability estimates can be used in a constructive way to propose changes in car design, intersection layout and regulation as well as driver training.
机译:人为可靠性的概念已被人为因素专家广泛用于工业环境中,以优化人员与任务的适应性。可靠性是通过人员在系统操作的给定阶段成功完成任务的概率来估计的。人类可靠性分析(HRA)是一种用于计算人为错误概率的技术,它是错误的比例与该错误的机会数量之比。为了将这一概念转化为汽车驾驶员可靠性的衡量标准,以下要素是必要的:驾驶任务的分类法,每项任务中正确行为的定义,与正确行为背离的错误列表以及适当的观察方法。注册错误以及这些错误的机会。最近使用SAFE任务分析程序使直接从行为要求的规范分析中得出驾驶员错误成为可能。驾驶员可靠性估计可用于比较任务组(例如,不同类型的交叉路口及其各自的规定)以及驾驶员或单个驾驶员的才能组。在62位不同年龄组的驾驶员的现场研究中对该方法进行了测试。受试者驾驶仪表车并必须完成城市测试路线,其主要特征是代表六个不同驾驶任务的18个交叉路口。受试者由两名训练有素的观察员陪同,他们使用标准的观察表记录了驾驶员的失误。结果表明,错误指数通常在驾驶员的年龄段和驾驶任务的类型之间变化。最高的错误指数出现在非信号交叉口任务和回旋处,这恰好等于SAFE分析中相应的任务复杂性等级。年龄组的比较清楚地表明了老年驾驶员的弊端,他们几乎在所有任务中的错误指数都明显高于其他年龄组。这些错误中的绝大多数可以由十字路口的高任务负荷来解释,因为它们代表着艰巨的任务。讨论显示了如何以建设性的方式使用可靠性估算来提出汽车设计,交叉路口布局和法规以及驾驶员培训方面的变化。

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