论文部分内容阅读
为获得山区道路纵坡路段线形对驾驶员特性的影响情况,利用数据采集(DAQ)卡和LabVIEW图形编程软件建立驾驶员心电(ECG)采集系统,结合生理学、医学心理学、工程心理学和人机工程学等方面理论方法和研究手段,建立驾驶员心率增长率与山路线形指标的回归模型。对驾驶员心率变异性(HRV)进行分析。结果表明:长大下坡路段坡度为3.5%左右时,驾驶员心率增长率超过40%,其心里最为紧张,而且HRV频域测量指标中的低频段功率值(LF)与高频段功率值(HF)之比(LF/HF)值在整个下坡过程中呈上升趋势,表明驾驶员交感神经活跃,易出现驾驶疲劳,对安全行车极为不利。
In order to obtain the driver’s characteristic of the straight road section in mountainous area, a driver’s electrocardiogram (ECG) acquisition system was established by using DAQ card and LabVIEW graphical programming software. Combining with physiology, medical psychology, engineering psychology and Ergonomics and other aspects of theoretical methods and research tools to establish a regression model of driver heart rate growth rate and mountain linear indicators. Driver heart rate variability (HRV) was analyzed. The results showed that when the gradient of uphill slope was about 3.5%, the driver’s heart rate increased more than 40% and his heart was the most nervous. And the power of low frequency (LF) and high frequency (HF) ) Ratio (LF / HF) showed an upward trend throughout the downgrade, indicating that the driver is sympathetic and prone to driving fatigue, which is extremely unfavorable for safe driving.