草原公路短时程驾驶疲劳程度多指标划分研究  

Research on multi-index classification of short-term driving fatigue on prairie highway

作　　者：赵婷[1] 戚春华[1] 朱守林[1] 高明星[1] 王玉化 葛敬芳[1] 

机构地区：[1]内蒙古农业大学能源与交通工程学院,内蒙古呼和浩特010018

出　　处：《中国安全科学学报》2016年第8期13-18,共6页China Safety Science Journal

基　　金：国家自然科学基金资助(51168036);内蒙古自治区2015年博士研究生科研创新项目(B20151012915)

摘　　要：为确定行车过程中不同时段驾驶员的疲劳程度,考虑草原公路的特殊性,选取典型草原公路路段,对9位受试者腰部肌电(EMG)、脑电(EEG)及心电(ECG)信号进行连续3 h的实驾测试。用因子(降维)及相关性分析法得到疲劳敏感指标;通过回归方程得到疲劳公式;利用层次聚类法初步划分疲劳程度,并验证划分结果。试验结果表明:表征EMG信号频谱变化的中位频率(MF)、ECG信号的心率均值(MHR)、高频标准化值(HFnu)和EEG信号的(α+θ)/β值对草原公路驾驶疲劳响应敏感,且驾驶疲劳发展呈多元线性变化;草原公路短时程驾驶疲劳可分为3个阶段。In order to determine the driver fatigue level in the process of driving on prairie highway, 9 participants？ EMG, EEG and ECG signals lasting for three hours on a typical prairie highway were collected. Sensitive indicators were identified and analyzed through principal component dimension reduction and correlation analysis.A formula was obtained for fatigue level through multivariate linear regression equations. Hierarchical clustering was used to classify driving fatigue levels. The classification results were validated by a subjective questionnaire survey ultimately. The results show that MF, MHR, HFnu and（α＋θ）/β are sensitive to driving fatigue on prairie highway, that the driving fatigue develops in accordance with a multiple linear mode, and that short-term driving fatigue on prairie highway can be divided into three stages.

关 键 词：草原公路 中位频率(MF) 心率均值(MHR) 高频标准化值(HFnu) (α+θ)/β值 疲劳程度 

分 类 号：X911[环境科学与工程—安全科学]