| The grassland area in Inner Mongolia has a unique natural and cultural environment,with a vast and sparsely populated area.Most cities or towns in the area are connected by long-distance grassland roads,with a relatively simple road alignment design and fewer transportation auxiliary facilities.At the same time,the terrain in the grassland area fluctuates less,and the vegetation is relatively single,resulting in a monotonous landscape environment.These unique road environmental characteristics make it difficult for drivers to drive on grassland roads,It can easily induce psychological and physiological fatigue,reduce the driver’s ability to operate and control the vehicle,and bring serious safety hazards to safe driving on grassland roads.In order to ensure the safety of drivers’ travel and improve road traffic efficiency,it is very important to scientifically develop a mechanism for regulating driver fatigue on grassland roads.Starting from the perspectives of ergonomics and cognitive psychology,this article takes grassland road drivers as the research object.With the help of indoor simulation driving instruments and human physiological information collection instruments,a fatigue recovery experiment for drivers under different fatigue regulation methods on grassland roads is designed.Based on the physiological and psychological signal theory of drivers,the impact of different fatigue regulation methods on the driver’s physiological and psychological indicators during the driving process of grassland roads is analyzed,Explore the fatigue recovery characteristics and physiological mechanisms of drivers under different fatigue regulation methods.The main research results of this article are as follows:(1)Based on the physiological significance of human EEG and ECG signal indicators,and using principal component analysis method,the sensitive indicator that effectively characterizes the fatigue recovery characteristics of grassland highway drivers is determined as: EEG β Wave power value and brain power ratio(α+θ)/β、 The electrocardiogram timedomain index SDNN,electrocardiogram frequency-domain index LF/HF,and electrocardiogram nonlinear index Samp En.(2)After different methods of fatigue regulation,there are differences in the recovery effect of physiological fatigue for drivers.Among them,drivers who undergo sit in adjustment have an overall recovery of physiological fatigue of about 35%,drivers who undergo music adjustment in the car have an overall recovery of physiological fatigue of about 45%,and drivers who undergo activity adjustment outside the car have an overall recovery of physiological fatigue of about 55%.The fatigue recovery effect of drivers under activity adjustment outside the car is better,The adjustment of music in the car takes second place,and the recovery effect of sitting in the car is poor.(3)The sensitive indicators of the driver’s EEG and ECG signals show a trend of first severe fluctuations and then gradually stabilizing during the driving process after fatigue adjustment.Under the action of different fatigue adjustment methods,the duration of the indicators shows significant fluctuations varies.Among them,the fluctuation time under sitting in the car is 4 minutes,the fluctuation time under music adjustment is 4 minutes,and the fluctuation time under external activity adjustment is 5 minutes,It can be seen that the regulation of extracurricular activities has a longer and more significant impact on the driver’s EEG and ECG activities.(4)Using the Karolinska Driver Subjective Drowsiness Survey Scale,it was found that the subjective fatigue score of drivers with sit in adjustment was 5.2 ± 0.88,the subjective score of drivers with music adjustment was 5.07 ± 0.65,and the subjective score of drivers with extracurricular activity adjustment was 4.83 ± 0.84.The scores of drivers with extracurricular activity adjustment were lower and their consciousness was more clear.From the subjective perspective of drivers,it was verified that the effect of extracurricular activity adjustment on driver fatigue recovery was better. |