Abstract
In order to study the change law of the fatigue degree of grassland expressway drivers over time, this paper takes the semidesert grassland landscape of Xilinhot city as the experimental environment and takes the provincial highway S101 (K278–K424) as an example to design an actual driving test. Taking Urumqi, Inner Mongolia Autonomous Region, as the experimental section, combined with the Biopac MP150 multichannel physiological instrument and its auxiliary knowledge software and mathematical statistics methods, the relationship between EEG and time was studied. The test results show that the primary fatigue factor F1 and the secondary fatigue factor F2 can summarize the fatigue law characterized by 96.42% of EEG information. During 130 minutes of driving on the prairie highway, the periods of high fatigue were 105 minutes and 125 minutes, respectively. Driving fatigue can be divided into three stages over time: 5–65 min fatigue-free stage, 70–85 min fatigue transition stage, and 90–130 min fatigue stage. Fatigue changes over time. The law follows the Gaussian function and the sine function.
Highlights
Drivers need to keep their concentration in the road environment to ensure the safety of driving tasks [1]
Determination of the Fatigue Factor. e absolute power magnitude of the EEG signal varies greatly. e EEG power of each subject is normalized according to the formula [17], and an average value is taken every five minutes to average the EEG power of 22 drivers
In order to quantitatively describe the rule of fatigue factor and time, regression analysis is used to fit F1 with logistic, and the results are shown in Figure 7 and Table 4
Summary
Drivers need to keep their concentration in the road environment to ensure the safety of driving tasks [1]. It can be seen that the accidents caused by driving fatigue in the monotonous environment are potential. E influencing factors of driving fatigue include the monotonous degree of the road environment, the physiological rhythm of drivers, and the time of driving and the duration of work. Research shows that 30 minutes of monotonous driving can cause alertness disorder [8], 11% of accidents are related to fatigue, and 62% of accidents occur in driving less than 100 miles, that is, 87.6 minutes [4]. Erefore, in the monotone road environment, the time task test of more than one hour is the basis of quantifying the effect of time on fatigue. (1) Combining the Biopac MP150 multichannel physiological instrument and its auxiliary knowledge software and mathematical statistics methods, the relationship between EEG and time has been studied (2) e EEG model is used to analyze and research related fatigue data (3) e EEG model and EEG are used to study the relationship between driving fatigue and fatigue data
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