摘要
为分析疲劳驾驶对驾驶员状态的影响程度,对驾驶员的疲劳状态进行量化,借助模拟驾驶实验手段,测试并分析了脑电、心电、眼动、驾驶绩效和主观疲劳评价等驾驶疲劳指标的变化规律,采用单因素方差分析方法分析了驾驶疲劳度量指标随驾驶时间变化的显著性.采用K均值聚类分析法确定了各个单项指标不同疲劳等级的阈值,建立了基于模糊综合评价的驾驶疲劳指数计算模型,以主观疲劳评价值为参照对模型进行了验证.结果表明,连续4h的驾驶任务对驾驶疲劳度量指标的影响是显著的,采用驾驶疲劳指数对疲劳状态进行量化研究是可行且有效的.
In order to analyze the influence of fatigue driving on drivers＇ states and quantify the driving fatigue state, driving fatigue indicators including EEG, ECG, eye movement, driving performance and subjective fatigue feeling were tested through simulation driving experiment, and the changing rules and significances of the indicators with driving time was analyzed using one-way ANOVA. The K- means clustering analysis method was used to determine the threshold values of each indicator at dif- ferent fatigue level. The calculation model of driving fatigue index was established and validated by the subjec- tive fatigue feeling. Th tors, and the proposed e results show that 4h of driving task had a significant effect on driving fatigue indica- method of driving fatigue quantification was feasible and effective.
出处
《武汉理工大学学报（交通科学与工程版）》
2015年第4期707-710,715,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
中央高校基本科研业务费专项资金项目(批准号:2572015BX03)
国家自然科学基金项目(批准号:51178149)资助
关键词
交通工程
驾驶疲劳
量化研究
模糊综合评价
度量指标
疲劳指数
traffic engineering
driving fatigue
quantification research
fuzzy comprehensive evaluation
measure indicators
fatigue index
