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为了探究新通车高速公路行车时驾驶员的疲劳行为。实地采集驾驶员心生理特征及交通特征数据,并应用傅里叶变换的方法转化心率随机信号来研究驾驶员行车时心率变化规律。对比驾驶员与副驾驶员行车时的心生理特征,确定疲劳行为出现的心率增长率疲劳阈值。探究驾驶员心率增长率与交通量、速度、行车时间等参数的关系。构建疲劳预测模型,以便通过易测的交通数据判断驾驶员行车时的心生理特征。研究表明:用疲劳预测模型可通过易测的交通数据计算驾驶员行车时心率增长率,当心率增长率长时间低于11.8%时,容易出现困意。
In order to explore the driver of the new open highway driving fatigue. The physical characteristics of the driver’s heart and traffic characteristics were collected on the spot, and the heart rate variational law was analyzed when the driver was driving using the Fourier transform method. Comparing the cardio-physiological characteristics of the driver and the co-driver while driving, the fatigue threshold value of the rate of increase in heart rate during the fatigue behavior is determined. Explore driver heart rate growth rate and traffic volume, speed, driving time and other parameters. Construct a fatigue prediction model to determine the cardiophysiological characteristics of the driver while driving through easily measured traffic data. The research shows that the fatigue prediction model can calculate the rate of increase of heart rate when drivers drive with easily measured traffic data. When the growth rate of heart rate is less than 11.8% for a long time, it is easy to appear distress.