摘要
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 study effects of longitudinal alignments of mountainous highways on driver charac- teristics, by using DAQ card and LabVIEW, this paper establishes driver's ECG system, and combines with various theoretical methods and research techniques, such as sphysiology, medical psychology, engi- neering psychology, ergonomics and so on. A model was built for relationship between driver's growth rate of HR and alignments index of mountainous highways, then driver's HRV was analyzed. The results show that when slope of long downhill is about 3.5% , driver's growth rate of HR exceeds 40% , he is in most nervous state, and that during the downhill, the ratio of low frequency (LF) power to high frequency (HF) power is rising, which indicates the driver's sympathetic nerve is active so that driver is more likely to be tired, the phenomenon is a threat to driving safety.
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2013年第12期16-20,共5页
China Safety Science Journal
基金
2012广西区教育厅重点项目(201202ZD042)