| Due to the complex topography and geological conditions in mountainous areas,the two-lane highway in mountainous areas has complicated road alignments,more excavations,complex and changeable road areas,and frequent traffic safety accidents.Existing studies have shown that the driving load of drivers has a great impact on driving safety.This article is based on the The Ministry of education of Humanities and Social Science project "Multi-parameter Fusion Catastrophe Research on the Visual Psychological Load of Driving on Mountain Two-lane Highways"(19YJCZH121),Aiming at the mountain two-lane highway,based on the system of "people-vehicle-road-environment",taking driving visual load as the research object,analyzing its dynamic evolution in mountain two-lane highways,using real-vehicle experiments,theoretical analysis,and establishing evaluations The method of the model is studied as follows:First,design a real-vehicle experiment,select a mountainous two-lane highway that meets the research conditions,divide the road into two task sections,and study the effects of complex road alignment and road space on the visual load of drivers;use eye trackers,The physiological recorder samples the driver’s eye movement and cardiac physiological data,and initially eliminates abnormal data to obtain the basic indicators of the driver’s load required for the experiment.Then,the driver’s driving vision area is divided,and the cluster analysis method is used for verification.For different road plane alignments,based on the situation that road data cannot be obtained,the method of turning left,turning right,and driving in a straight line is adopted to divide;for different road area spaces,use the virtual-to-solid area ratio calculation method to quantify the road area space and determine the opening The ratio of open space to solid area λ >1.2,semi-canopy closed space 0.8< λ <1.2,and canopy closed space λ <0.8.Then through mathematical methods,the obtained driver’s pupil area,heart rate,and blink rate indicators are analyzed to determine their correlation,and the principal component analysis method is used to establish a driving visual load indicator calculation model.After that,the visual characteristics and heart rate changes of drivers under different road plane alignments and road space are compared and analyzed,and the changes of driving visual load value are studied.Regression analysis of the visual load of driving under different road planes has a significant effect.It is concluded that the visual load of driving is greater under left-turn conditions,followed by right-turning,and the smallest driving in a straight line;driving under different road space The visual load is regressed,and a cubic equation regression model of driving visual load based on different roads is obtained.The fitting effect is good.The results show that the value of driving visual load in closed and semi-closed spaces is greater than that in open spaces.Finally,the cusp catastrophe theory is introduced,and the sudden change of the driving visual load state is first studied,and it is concluded that after a period of driving behavior,under the influence of alternate changes in the road space,there is a sudden change in the driving visual load state.Based on the sudden change progression method,the evaluation model is established with the driving visual load state,driving visual load,and road environment as indicators,and the driving visual load state is divided.According to the magnitude of the subordination value of different sudden changes,it is divided into low load state and bearable State,chaotic state,and high load state.Evaluation of the mountain two-lane highway selected in the actual vehicle experiment shows that most of the driving visual load is in a chaotic state and a high load state,and the driving safety is poor.The research in this paper can provide certain theoretical guidance and reference significance for the evaluation of driving safety on two-lane highways in mountainous areas. |
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