高速公路环境下驾驶员状态辨识  

Driver State Identification on Expressway

作　　者：谭德荣[1] 吕长民 于广鹏[1] 张洪加 

机构地区：[1]山东理工大学交通与车辆工程学院,山东淄博255049

出　　处：《河南科技大学学报（自然科学版）》2016年第3期29-32,37,共5页Journal of Henan University of Science And Technology:Natural Science

基　　金：国家自然科学基金项目(61074140);山东省自然科学基金项目(ZR2011EEM034)

摘　　要：为了进一步提高高速公路环境下车辆的主动安全性,提出了一种基于信息融合的高速公路驾驶员状态辨识方法。基于高速公路驾驶员驾驶特征,通过高速公路模拟驾驶试验,对驾驶员眼部状态和油门踏板信号进行检测。选取加油频率、眨眼频率、眼睛闭合率和眨眼持续时间作为驾驶员状态的评价指标,采用模糊评价和D-S证据理论相结合的信息融合方法,建立了高速公路上驾驶员状态辨识的模型,并通过实例验证了该模型的有效性。In order to further improve the vehicle active safety performance on expressway,a driver state identification method was established based on information fusion. Through experiments on vehicle driving simulator and based on driving characteristics on expressway,driver's eye states and throttle position changes were detected. Acceleration frequency,blink frequency,eye closure rate and blink duration were selected as evaluation index. A driver state identification model by adopting information fusion technique of combining fuzzy assessment with D-S evidence theory was established. The effectiveness of the model was verified by an example.

关 键 词：驾驶员状态识别 信息融合 模糊评价 D-S证据理论 

分 类 号：U491[交通运输工程—交通运输规划与管理]