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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Main Authors: Qinhong FAN, Xingchen JIANG, Gangjun YANG, Baozhen TIAN, Xueliang WU, Min NIE
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2021-07-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
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.
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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
work_keys_str_mv AT qinhongfan testmethodsandtrendsofdrivingfatigueriskassessment
AT xingchenjiang testmethodsandtrendsofdrivingfatigueriskassessment
AT gangjunyang testmethodsandtrendsofdrivingfatigueriskassessment
AT baozhentian testmethodsandtrendsofdrivingfatigueriskassessment
AT xueliangwu testmethodsandtrendsofdrivingfatigueriskassessment
AT minnie testmethodsandtrendsofdrivingfatigueriskassessment