Mutagenicity Research On The Driver’s Visual Load Caused By Mountainous Road Landscpe

The driver’s visual sense bears real-time and dynamic driving load.In this sense,the driver’s working state can be represented by driving visual load.When the visual load is at a lower level,the driving work is relatively easy and the restriction is small,but it is easy to cause negligence;when the visual load is at a higher level,the driving work is heavy and the driver is difficult to concentrate;only when the visual load is within the appropriate range,can the driving safety be ensured.In the driving process,the driver collects visual information from many parameters.This process is continuous,but from the perspective of driving safety,the visual load caused by visual information has a sudden change.This paper chooses the suitable mountain two-lane highway,carries out vehicle experiment,then screens and determines the multi-parameters used in the catastrophe theory,and divides the driving visual load state,thus establishes the multi-parameter catastrophe theory of driving visual load,and forms the corresponding theoretical application results.The main contents of the research are as follows:(1)On the basis of human visual perception theory and driving experiment,through the analysis and comparison of the visual psychophysiological indexes of several drivers’ samples,the dynamic characteristics of driving vision under the driving environment of two-lane highway in mountainous areas are found,which provides a preliminary analysis data basis for this project,and finally determines the experimental indicators adopted in this paper.(2)According to the basic overview of catastrophe theory,the application ways and fields of catastrophe theory are discussed,and the application prospects of catastrophe theory are explained.Finally,the feasibility of applying catastrophe theory to driver’s visual load is analyzed.It is concluded that there are many similarities between driver’s visual load state and catastrophe characteristics.It is theoretically proved that applying catastrophe theory to driver’s visual load research is feasible.(3)Through data processing of the experimental indicators of driver’s visual load state,it is concluded that the pupil area is the best parameter to represent driver’s visual load,and sample entropy method is introduced to process the data of driver’s pupil area indicators to make it more reasonable and effective.The factors affecting the acquisition of driver’s visual information are analyzed,and the driver’s visual area is divided into four parts to quantify the roadside landscape.The maximum threshold method based on Otsu method is selected to segment the image of visual field space,extract the HSV component of the image,and obtain the quantified value of roadside landscape.In this process,it is analyzed that visual information is mainly affected by two factors: speed and landscape quantitative value.(4)Applying cusp catastrophe theory,considering the visual information quantity of the interaction of speed and landscape quantification value,taking visual load intensity as state variable and speed and landscape quantification value as control variable,the driver’s visual load cusp catastrophe model is established,and the catastrophe analysis is carried out by combining the bifurcation set of catastrophe model to make the change of driver’s visual load from the direction of catastrophe theory.A reasonable explanation is given and a criterion based on the sudden change of driver’s visual load during driving is proposed.According to the sudden critical state of driver’s visual load,the driving load state is divided into endurable state,chaotic state and unsustainable state.A method for evaluating driver’s visual load state based on catastrophe theory is proposed.(5)Taking a section of highway in Chongqing as an example,the corresponding processing and analysis of the measured visual load state data are carried out by using statistical method,which further verifies the similarity between cusp catastrophe theory and driver’s visual load state,and evaluates the visual safety of highway landscape environment in this mountainous area,providing a theoretical basis for the improvement of highway landscape.Finally,the catastrophe series method of driving visual load is used to quantify the recursive operation through the normalized formula of catastrophe theory,and the membership function value of the total catastrophe of the system is obtained with appropriate criteria,which shows that the evaluation method of catastrophe index of driving visual load based on catastrophe theory is credible.