Research on setting method of fatigue warning sign on desert expressway based on driver's heart and myoelectric index

Drivers are more likely to feel fatigue when driving on the desert highway due to its single line, monotonous road side landscape, and small traffic volume, etc., so the method of setting fatigue warning signs on desert highway should be studied for. In this paper, field investigation and field test are carried out on the section of Uma Expressway crossing Tengger Desert, and the same road scene and line shape as the actual one are constructed by using uc-win road. Driving simulation experiments were carried out by using driving simulation cabin, collecting heart and muscle electric indexes and analyzing fatigue characteristic law. On this basis, simulation experiments of different fatigue warning signs and stimulation intervals were carried out in multiple groups, and the pattern of cardiac and electromyographic indexes and the interaction law were analyzed based on the artifact correction method after denoising the measured data, so that the optimal setting method was obtained according to the stimulation effect. Based on the artifact correction method, the measured data were de-noised and analyzed the changes of ECG and EMG indexes and the interaction law, and the best setting method was obtained according to the stimulation effect. Finally, the fatigue level was classified based on the cohesive hierarchical system cluster analysis method to verify the rationality of the fatigue warning sign setting scheme. The results show that the driver's psychological fatigue and physiological fatigue both show obvious fluctuation growth, and the growth trend exists in four stages, namely, smooth fluctuation (0-30min), initial fatigue (35-85min), adjustment stage (85-160min), and severe fatigue (after 160min), and psychological fatigue is earlier than physiological fatigue, and the driver's regulation effect on physiological fatigue is better than psychological fatigue. Analysis of the psychological indexes of the four groups of traffic signs shows that the fatigue warning signs with black characters on a white background and set at an interval of 60-80 km have the most obvious effect on driver stimulation in a desert highway with a design speed of 80-100 km/h.

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Publication Details

Journal
Heliyon
Published
2024-08-23
DOI
https://doi.org/10.1016/j.heliyon.2024.e36431
Citations
3
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
1.52

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article

Research on setting method of fatigue warning sign on desert expressway based on driver's heart and myoelectric index

Xingang Wang, Xingli Jia, Hu Xiangyun, Zexuan Jiao
3 citations
Heliyon
Sleep and Work-Related Fatigue
1.52
article

Research on setting method of fatigue warning sign on desert expressway based on driver's heart and myoelectric index

Xingang Wang, Xingli Jia, Hu Xiangyun, Zexuan Jiao
article en
3 citations

Abstract

Drivers are more likely to feel fatigue when driving on the desert highway due to its single line, monotonous road side landscape, and small traffic volume, etc., so the method of setting fatigue warning signs on desert highway should be studied for. In this paper, field investigation and field test are carried out on the section of Uma Expressway crossing Tengger Desert, and the same road scene and line shape as the actual one are constructed by using uc-win road. Driving simulation experiments were carried out by using driving simulation cabin, collecting heart and muscle electric indexes and analyzing fatigue characteristic law. On this basis, simulation experiments of different fatigue warning signs and stimulation intervals were carried out in multiple groups, and the pattern of cardiac and electromyographic indexes and the interaction law were analyzed based on the artifact correction method after denoising the measured data, so that the optimal setting method was obtained according to the stimulation effect. Based on the artifact correction method, the measured data were de-noised and analyzed the changes of ECG and EMG indexes and the interaction law, and the best setting method was obtained according to the stimulation effect. Finally, the fatigue level was classified based on the cohesive hierarchical system cluster analysis method to verify the rationality of the fatigue warning sign setting scheme. The results show that the driver's psychological fatigue and physiological fatigue both show obvious fluctuation growth, and the growth trend exists in four stages, namely, smooth fluctuation (0-30min), initial fatigue (35-85min), adjustment stage (85-160min), and severe fatigue (after 160min), and psychological fatigue is earlier than physiological fatigue, and the driver's regulation effect on physiological fatigue is better than psychological fatigue. Analysis of the psychological indexes of the four groups of traffic signs shows that the fatigue warning signs with black characters on a white background and set at an interval of 60-80 km have the most obvious effect on driver stimulation in a desert highway with a design speed of 80-100 km/h.

HeliyonVol. 10(17)
Chang'an University (CN)
National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 17%
Sleep and Work-Related Fatigue
1.52
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