Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N

Corresponding author | Institute | |
FAN Qinhong | School of Mechanical Engineering, Taiyuan University of Science and Technology |
Driving fatigue is one of the main causes of traffic accidents and occupational diseases. Owing to the uncertainty of fatigue itself, there are always great difficulties in the fatigue test of driving operation. On the basis of the current research status of driving fatigue evaluation and test methods,the future trend was analyzed and prospected. By searching keywords and reading and sorting relevant literature, the current driving fatigue evaluation test methods used in transportation vehicles and engineering vehicles were classified as subjective judgment fatigue evaluation test, such as questionnaire survey and self-rating scale, and objective judgment fatigue evaluation test, such as electroencephalogram (EEG) and facial recognition. The research shows that it is an important way to avoid traffic accidents and prevent drivers from occupational diseases to understand the subjects' real physical and mental state. Finally, it is concluded that the future research trend will be focused on improving the stability of physiological feature measurement, the accuracy of facial recognition, the authenticity of data acquisition, and the construction of a unified driving fatigue assessment model.