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Driver's Risk Gravitation Model Optimization And Application Research

Posted on:2018-07-03Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q XuFull Text:PDF
GTID:2352330518960407Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
The driver’s attention is a major factor affecting driving safety.Risk gravitation in risk traffic situation is one of the quantitative indicators of driver’s attention characteristics.It is of great significance to study the construction and application of risk gravitational model and to prevent and reduce traffic accidents.Based on the model of risk gravitational model established on the basis of the risk gravitational model established by the research group,this paper studies the population based on the analysis of the model,based on gender,age,driving age and different educational level.Note the difference in characteristics.First,the driver’s attention characteristics and related theories are analyzed.This paper analyzes the main factors that influence the characteristics of the driver’s attention,and analyzes the relationship between the driver’s attention and the influencing factors such as the relationship between the driver’s attention and the relationship between the driver’s attention and the relationship between the driver’s attention and other factors The impact on the safety of traffic,the risk gravitational model for the selection of reasonable parameters to lay the foundation.Secondly,the risk gravitational model is optimized and improved.The existing risk gravitational model is analyzed,the existing problems of the model,the irrationality of the individual parameters(such as the model of the risk attribute)and the assumption that the assumptions are too large are inconvenient.According to the existing problems,the reasonable parameters of the driver ’s attribute function expression,the risk attribute expression and the risk gravitational model are selected and corrected according to the characteristics of the driver’ s attention characteristic,the traffic conflict,the risk degree of the risk and the psychological field theory.Through the analysis,we can see that the risk attribute is the risk degree,the degree of conflict,the speed and the location of the risk.The driver’s personality is the distance between the driver’s personality,speed,attention angle,risk and the driver The risk of driver’s perception and so on;and driver attribute and risk attribute are the main factors that characterize the risk gravitational model.By quantifying the above factors to determine the size of the risk of gravity,the risk of gravity to characterize the driver’s attention characteristics.Finally,the verification and application analysis of risk gravitational model.First,the experimental design verification method,the design of the risk environment from simple to complex,from a single risk to multiple risks,through its attention behavior and operational behavior analysis of different groups of attention characteristics.Experiments show that the more complex the risk scenario,the relative load will be heavier,the greater the difficulty of driving.Second,the data analysis method is used to extract the simulated driving test data and eye movement data based on the triggering area,the conflict area and the eye movement behavior.Combining the risk gravitational model,the quantitative analysis of the different groups’ attention characteristics is carried out.The results show that the closer the driver is to the risk,the greater the risk gravitational value,the higher the degree of attention,the more detrimental to the traffic;and the high driving driver than the low driving driver’s ability to pay attention,the male driver is more than the female driver’s attention Ability and so strong.The research results of risk gravitation provide a new quantitative method for the study of driver’s attention characteristics,which is of practical significance to improve driving safety and reduce traffic accidents.
Keywords/Search Tags:multi-risk scenario, driver attention characteristics, risk gravitational model, traffic conflict, traffic safety
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