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Analysis The Driver’s EEG Characteristics Based On The Different Light Environment Of The Prairie Highway

Posted on:2016-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y K LiFull Text:PDF
GTID:2272330464963762Subject:Forestry Engineering
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Nowadays in Inner Mongolia,with the development of grassland tourism and constantly raising of the people’s living standards, grassland area of highway mileage and road network density constantly increase. Because of the particularity of Inner Mongolia grassland highway,it can easily causes the driver fatigue driving, many scholars both in domestic and foreign believe that electroencephalogram EEG is an important index of driver’s fatigue state. When human body receives external information,it handled by our brain and then response to various organs, light can react to the brain by vision, normal people obtain information from the outside world mostly rely on vision. So it has great significance to do research on the driver’s driving condition of illuminating environment which matters on driver’s driving safety.In this paper, the integrated use of signal test, psychology, physiology, man-machine engineering, highway engineering, highway landscape study theory, from two aspects of theory and experiment study the characteristics of the driver’s brain electrical changes with illumination, The purpose is to through the illumination influence on brain electrical signal to improve the driver’s driving of the light environment, reduce accidents due to the influence of illumination. The followings are main conclusions in this paper.(1) Through data analysis, the driver of the eeg alpha and theta power with the intensity of illumination power increases the overall rise, beta power increased with intensity of illumination is on the decline. Alpha/beta driver’s eeg signals, (alpha+ theta)/beta ratio with increasing intensity of illumination in low shock before rising rapidly, the driver high correlation between intensity of illumination and electrical parameters.(2) Under 3427.127889.8 Lx illumination beta dominated the driver, the driver brain awake thinking active, is advantageous to the driver’s driving safety; 27889.8-36373.3 Lx illumination beta driver power oscillation in rapid decline, alpha and theta power power slowly rising in the shocks, and alpha/beta ratio (alpha+ theta)/beta ratio slowly rising in the shock, the driver reduced activity in the brain thinking, mental activities by certain inhibition; 39448.8-55987.1 Lx illumination driver alpha and theta power rapidly rising power, beta waves slow down, power and alpha/beta ratio (alpha+theta)/beta ratio is rapidly rising, the driver has been the central nervous, tiredness.(3) The EEG index analysis results show that different drivers of physiological adaptability to different light intensity. Driving less experienced pilot light in 27889.8 after Lx central nervous is restrained, reduced activity in the brain, driving the experienced driver appeared after light 30775.1 Lx central nervous is restrained, reduced activity in the brain.
Keywords/Search Tags:Grassland highway, driving fatigue, Light, EEG
PDF Full Text Request
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