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Variations in Road Conditions on Driver Stress: Insights from an On-road Study

机译:驾驶员压力引起的路况变化:道路研究的启示

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A number of studies have used heart rate variability (HRV) measures to estimate driver stress acrossdifferent driving conditions. Understanding the constructs of driver stress can provide insights regardingthe underlying reasons for safety-critical events. The intent of this study is to evaluate theelectrocardiogram (ECG) activities of drivers along a pre-defined route with varying roadway conditions.Heart rate, standard deviation of selected RR interval series (SDNN) and low frequency to high frequencyratio (LF/HF) were examined. An examination of short interval stress at evenly distributed points along theroute indicates that some impact was detected from long duration driving and the statistical model wasadjusted accordingly to reflect this. The findings suggest that temporal and frequency domain parametersgenerated similar characteristics regardless of the direction of travel (clockwise or counterclockwisedirection). That is, these two parameters provided fairly consistent outcomes regarding driver workload.However, heart rate was not as good an indicator suggesting that this measure may be picking up someother unexplained effects.
机译:许多研究使用心率变异性(HRV)措施来估计驾驶员的压力 不同的驾驶条件。了解驾驶员压力的构造可以提供有关以下方面的见解 安全关键事件的根本原因。这项研究的目的是评估 驾驶员在不同道路状况下沿预定路线行驶的心电图(ECG)活动。 心率,所选RR间隔系列(SDNN)的标准偏差以及低频到高频 检查比率(LF / HF)。检查沿应力分布均匀点的短时应力 路线表明从长时间驾驶中发现了一些影响,并且统计模型为 进行相应调整以反映这一点。研究结果表明,时域和频域参数 不论行进方向(顺时针还是逆时针)都产生相似的特性 方向)。也就是说,这两个参数在驾驶员工作量方面提供了相当一致的结果。 但是,心率并不是一个好的指标,表明该指标可能正在提高 其他无法解释的影响。

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