DocumentCode
2271431
Title
Experimental Research on Driver Fatigue Based on SOFM
Author
Zhang Jun ; Zhu Zhong-xiang ; Song Zheng-he ; Mao En-rong ; Cheng Bo
Author_Institution
Coll. of Eng., China Agric. Univ., Beijing
Volume
3
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
800
Lastpage
804
Abstract
An evaluation model of driver fatigue state was constructed based on the self-organizing feature map (SOFM), in which reaction time, steering angle and vehicle trajectory were considered. 10 males in the same age phrase were recruited to drive under monotonous conditions on self-made driving simulator. The statistic analysis of the test data showed that the three indexes mentioned above were correlated with the subjective evaluation which was performed by the experts according to the recorded videos distinctly. From the experimental results, it was found that the fatigue levels classified by SOFM evaluation model were in accordance with subjective evaluation, and SOFM evaluation model could recognize the levels of driver fatigue state automatically and accurately.
Keywords
driver information systems; road accidents; road safety; road traffic; self-organising feature maps; statistical analysis; SOFM evaluation model; driver fatigue state; self-made driving simulator; self-organizing feature map; statistic analysis; traffic accidents; Automotive engineering; Condition monitoring; Fatigue; Intelligent vehicles; Road accidents; Switches; Testing; Vehicle driving; Vehicle safety; Wheels; SOFM; driver fatigue; evaluation model; experimental research; traffic engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3497-8
Type
conf
DOI
10.1109/IITA.2008.439
Filename
4740107
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