Modeling research on Driver Fatigue

摘要：

The aim of this paper is to build a Hidden Markov Model of normal driving state of drivers from the perspective of driving behavior to reduce traffic accidents caused by driver fatigue. Driving behavior data which drivers at normal driving state and the fatigues ones is analyzed. The vehicle control strategies of drivers are selected as hidden states. Data of driving behavior are denoted as observable output sequences. Large amount of driving behavior data is quantified with LBG VQ algorithm. Model parameters are estimated to use Baum-Welch algorithm. The model is evaluated in driving state identification experiments using signals collected in a driving simulator with forward algorithm and backward algorithm. Simulation results indicate that abnormal driving state of drivers can be identified.

关键词： fatigue driving driving behavior hidden markov model

作者: Dun-li Hu Guo-cheng Gong Zhi-chun Mu Cun-wu Han Xiao-hua Zhao

作者单位: College of Mechanical Electrical Engineering of North China University of Technology Beijing, China College of Mechanical Electrical Engineering of North China University of Technology Beijing, China School of Information Engineering University of Science and Technology Beijing, China Key Laboratory of Field Bus Technology of North China University of Technology Beijing, China Transportation Research Center Beijing University of Technology Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 158-162

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）