摘要
导致疲劳驾驶的影响因素众多,量化相互间的关系是疲劳驾驶行为研究的理论基础。通过实车试验采集了32名驾驶人在疲劳状态下的驾驶行为数据,观测变量包括车速、加速度、车道位置、车头时距、血流量脉冲、皮电、闭眼周期等,并对数据进行了预处理以及利用Bootstrap法对样本容量进行扩充来满足结构方程模型对样本的需求。建立结构方程模型分析了疲劳程度、身体状况和驾驶经验之间的关系以及对疲劳驾驶行为的影响。结果表明,疲劳程度对驾驶行为的影响程度最大,达到0.944;其次是驾驶经验,相关系数为0.447,说明在驾驶过程中驾驶人应时刻注意自身的疲劳状况,因其会直接影响驾驶安全。
Fatigue driving behavior is usually affected by many factors, and the quantitative relationship between each other is the theoretical basis of the fatigue driving behavior research. Collecting driving behavior data of 32 drivers under the condition of fatigue status, this paper takes a pretreatment of these data and expands the sample size by boot- strap method in order to satisfy the needs of structural equation model on the sample. The observation variables include the speed, acceleration, lane position, headway, pulse of blood flow, galvanic skin and close eyes cycle. Furthermore, the relationships among fatigue degree, physical condition and driving experiences are established through a structural e- quation model and the impact of these three latent variables on fatigue behavior. Results indicate that the fatigue degree reveals the largest influence on driving behavior with a correlation coefficient of 0. 944, and the second is the driving expe- rience with a correlation coefficient of 0. 447, which illustrates that drivers should be aware of their own fatigue status in driving since it directly affects the driving safety.
出处
《交通信息与安全》
2014年第5期95-102,共8页
Journal of Transport Information and Safety
基金
国家自然科学基金项目(批准号:61403288)
中央高校基本科研业务费专项资金项目(批准号:2014-IV-080)资助
关键词
交通安全
疲劳程度
结构方程模型
疲劳驾驶行为
路径系数
traffic safety fatigue level structural equation model fatigue driving path coefficient
