疲劳驾驶的转向特征研究  

Research on the Steering Feature in Fatigue Driving State

作　　者：刘志强[1] 焦立峰[1] 

机构地区：[1]江苏大学汽车与交通工程学院,江苏镇江212013

出　　处：《重庆交通大学学报（自然科学版）》2011年第3期432-435,共4页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：国家科技支撑计划课题项目(2007BAK35B02)

摘　　要：为有效地实现疲劳提前预警,研究了心电信号(ECG)和转向特征随驾驶时间的变化规律。通过试验,分析了ECG信号的4个指标随时间的变化趋势,进行了显著性分析之后,运用主成分分析方法建立了综合的ECG评价指标来分辨驾驶员的疲劳状态。分析了驾驶员在不同驾驶状态,不同的道路线形下的转向行为,应用转向熵方法分析了转向数据,结果表明:相比清醒状态,疲劳状态下的转角熵升高了57.1%。Traffic accidents because of fatigue driving are on the rise.In order to realize early warning effectively,the variation rule of electrocardiogram signals（ECG） and steering characteristics with the driving time was studied and feasible program was designed.The trends and significance of four indicators in the ECG signals over time were analysed,and a comprehensive evaluation indicator was established after principal component analysis to identify driver states.The steering features under different driving conditions and road alignments were researched.Steering features were analysed by steering entropy.Test results indicated that when the driver was in fatigue,the steering entropy increased by 57.1%,compared with the driver in waking state.

关 键 词：疲劳驾驶 转角特征 心电信号 

分 类 号：U491.31[交通运输工程—交通运输规划与管理]