Test Methods and Trends of Driving Fatigue Risk Assessment
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 metho...
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Format: | Article |
Language: | English |
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Editorial Office of Journal of Taiyuan University of Technology
2021-07-01
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Series: | Taiyuan Ligong Daxue xuebao |
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Online Access: | https://tyutjournal.tyut.edu.cn/englishpaper/show-414.html |
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author | Qinhong FAN Xingchen JIANG Gangjun YANG Baozhen TIAN Xueliang WU Min NIE |
author_facet | Qinhong FAN Xingchen JIANG Gangjun YANG Baozhen TIAN Xueliang WU Min NIE |
author_sort | Qinhong FAN |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-24T11:50:07Z |
format | Article |
id | doaj.art-63719e1a8e7b4f48b5f4e91abfc308c8 |
institution | Directory Open Access Journal |
issn | 1007-9432 |
language | English |
last_indexed | 2024-04-24T11:50:07Z |
publishDate | 2021-07-01 |
publisher | Editorial Office of Journal of Taiyuan University of Technology |
record_format | Article |
series | Taiyuan Ligong Daxue xuebao |
spelling | doaj.art-63719e1a8e7b4f48b5f4e91abfc308c82024-04-09T08:04:04ZengEditorial Office of Journal of Taiyuan University of TechnologyTaiyuan Ligong Daxue xuebao1007-94322021-07-0152464565310.16355/j.cnki.issn1007-9432tyut.2021.04.0191007-9432(2021)04-0645-09Test Methods and Trends of Driving Fatigue Risk AssessmentQinhong FAN0Xingchen JIANG1Gangjun YANG2Baozhen TIAN3Xueliang WU4Min NIE5School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaSchool of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaSchool of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaSchool of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaCRRC Datong CO., LTD., Datong 037038, ChinaCRRC Datong CO., LTD., Datong 037038, ChinaDriving 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.https://tyutjournal.tyut.edu.cn/englishpaper/show-414.htmldriving fatiguefatigue testmeasurement of physiological characteristicsfacial recognition |
spellingShingle | Qinhong FAN Xingchen JIANG Gangjun YANG Baozhen TIAN Xueliang WU Min NIE Test Methods and Trends of Driving Fatigue Risk Assessment Taiyuan Ligong Daxue xuebao driving fatigue fatigue test measurement of physiological characteristics facial recognition |
title | Test Methods and Trends of Driving Fatigue Risk Assessment |
title_full | Test Methods and Trends of Driving Fatigue Risk Assessment |
title_fullStr | Test Methods and Trends of Driving Fatigue Risk Assessment |
title_full_unstemmed | Test Methods and Trends of Driving Fatigue Risk Assessment |
title_short | Test Methods and Trends of Driving Fatigue Risk Assessment |
title_sort | test methods and trends of driving fatigue risk assessment |
topic | driving fatigue fatigue test measurement of physiological characteristics facial recognition |
url | https://tyutjournal.tyut.edu.cn/englishpaper/show-414.html |
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