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Identifying effects of driving and secondary task demands, passenger presence, and driver characteristics on driving errors and traffic violations - Using naturalistic driving data segments preceding both safety critical events and matched baselines

机译:识别驾驶和次要任务需求,乘客的身分以及驾驶员特征对驾驶错误和交通违章的影响-在安全关键事件和匹配的基线之前使用自然驾驶数据段

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Researchers have identified various factors that likely affect aberrant driving behaviors and therefore crash risk. However, it remains unclear which of these factors poses the greatest risk for committing either errors or violations under naturalistic driving conditions. This study investigated important variables contributing to driving errors and traffic violations based on naturalistic driving data from the second Strategic Highway Research Program (SHRP 2). The analyzed driving segments preceded both safety critical events and matched baselines. Results showed that intersection influence, high-risk visually distracting secondary tasks, and the severities of the safety critical events were the main factors associated with driving errors. The primary factors linked to violations were intersection influence, persistent individual differences in driver behavior, and the severities of the safety critical events. Furthermore, the number of aberrant driving behaviors in trip segments preceding crashes was higher than in the matched segments unrelated to safety critical events. However, the most common aberrant driving behavior types in the respective segment groups appeared to resemble each other. This suggests that crashes became more likely due to drivers committing more violations and errors overall as opposed to drivers making one certain type of error or violation. (C) 2017 Elsevier Ltd. All rights reserved.
机译:研究人员已经确定了可能影响异常驾驶行为并因此导致撞车风险的各种因素。但是,尚不清楚在自然驾驶条件下,哪些因素构成犯错误或违规的最大风险。这项研究基于第二个战略公路研究计划(SHRP 2)的自然驾驶数据,调查了导致驾驶错误和交通违章的重要变量。在安全关键事件和匹配的基线之前,进行了分析的驾驶段。结果表明,交叉路口的影响,高风险的视觉分心次要任务以及安全关键事件的严重性是与驾驶错误相关的主要因素。与违规有关的主要因素是路口影响,驾驶员行为上的持续个体差异以及安全关键事件的严重性。此外,在撞车之前的行程段中,异常驾驶行为的数量要多于与安全关键事件无关的匹配段。但是,各个段组中最常见的异常驾驶行为类型似乎彼此相似。这表明,由于驾驶员总体上犯下了更多的违规和错误,而不是驾驶员犯某种特定类型的错误或违规,导致撞车的可能性更高。 (C)2017 Elsevier Ltd.保留所有权利。

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