Athematical Analysis Of Driving Behavior Eerrors Based On Driver And Road Environmental Factors

Driving behavior errors, or DBE, are phenomenally noticeable and have ledto85-92%of road accidents according to statistics. The road condition isanother factor for road accidents which accounts for8-11.2%of road accidents.Related survey pointed out that driving behavior errors and bad road conditionsare main reason for traffic accidents.Researchers around the world have based their analysis on the two factorsand conducted their studies standing at different angles of psychological study,physical responses, driving habits, road influences and others. However, asystemic study has not yet been offered.This paper is designed to offer an integral study based on psychologystudies and examines driver’s body responses, psychological situation,driving habits and road conditions. Formation of driving behaviors and theirattributes were investigated. Driving behavior models were set up. In-depthanalysis of driving behavior errors were made to tackle these fatal mistakeson road. Driver behavior errors were translated into dependent variables. Anddriver’s factors and road conditions were considered independent variables.Probability distribution of driver behavior errors and their contributiondegree to driving behaviors were analyzed too. Detailed research were managedto study the causal effect relationship between driver behavior errors anddriver’s personal factors and road conditions.The research work was conducted in following aspects:Chapter1presents an introduction of literature review, the objective ofour research and a brief introduction of the essay’s content, tools and roadmap. The pragmatics of contemporary studies was examined also. Theoreticalmethods were offered in the chapter.Chapter2focuses on the study of the process of driving behavior.Hierarchical model theory was applied to illuminate the process of driving behavior. Limited information energy processing model theory was utilized toexpound the information processing during driving. Driving process models wereconstructed to explain the features of driving behaviors and offer a foundationfor latter research.Chapter Three studies the mechanism of driving behavior errors. Effectsof driver’s personal factors and road conditions which are led directly orindirectly upon driving behaviors were examined and were designated for thestudies in the ensued chapters.Chapter Four is an effect study of the personal factors which lead to thedriving behavior errors. The effects of driver’s psychological complex,physical situation, and driving habits upon driver behavior errors wereclassified. Tools such as Maximum Likelihood Estimation, or MLE, WeightedArithmetic Means, Multiple Linear Regression, or MLR, and others were employedfor analyzing driver related behaviors and their relevancy.The fifth chapter stresses a study of the road situation’s effect ondriving behavior errors. Data were collected concerning road environment,vehicle condition, natural milieu and cultural surroundings. The tools ofMaximum Likelihood Estimation, or MLE, Weighted Arithmetic Means, MultipleLinear Regression, or MLR, and others were reused here to assess the factorson the road and their contribution degree to driving behavior errors as wellas its relevancy.The last chapter is a relevancy appraisal of driver’s factors and roadfactors. Parallel comparisons were conveyed via diagrams. Principal componentanalysis method was applied into the study to evaluate the main components ofdriver and road elements so as to conclude for a variation of dominant and minoreffects.