Research On Vehicle Driving Parameters Modeling And Excavation Of Excellent Driving Behavior

By collecting the driving parameters of the bus to establish excellent driving behavior analysis model,it can provide good driving method for driving drivers.The establishment of the excellent driving behavior analysis model is the key element.This paper we establish driving behavior analysis model based on the priori rules and establish driving behavior mining model,based on the two models,the Bayesian statistical method is used to determine the driving behavior,and the comprehensive statistical score method is established to judge the driving behavior,so as to provide basis for effective judging the driver behaviors.There are many kinds of driving behavior analysis methods,to find a suitable method in the bus field is the key element,this paper divide the regional section as a starting point,on the basis,the establishment of the evaluation method for drivers on the road section,we can dig out excellent driving parameters on the same section.The aggregation of the parameters can provide specific guidance for drivers.The main contents of this paper are:(1)Introduced the research background and significance of the field,and introduced the research status of driving behavior,based on a priori rules,based on critical area driving behavior,based on Bayesian statistics in detail.(2)The model of excellent driving behavior analysis is expounded,and the driving principle and fuel economy of energy saving of bus is analyzed.The excellent driving behavior model and model flowchart of this paper is analyzed and explained in detail.(3)Based on priori rules,the model of the downhill skid,the speed stall matching,the rapid acceleration and the emergency braking decision model are established,and the driver's comprehensive judgment model based on priori rules is established.By comparing the judgment probability value and setting the threshold to carry out excellent driving behavior judgments.(4)Based on the clustering mining of key links,and taking the fuel consumption as the reference standard,the driving driver parameters of a certain section are judged and the excellent driving behavior parameter closure is gathered to judge the excellent behavior of the driving drivers.(5)Based on the Bayesian statistical principle,the probabilistic value of the driving behavior of the excellent driving parameters closed by the optimal driving behavior mining model based on the driving behavior and analysis model based on priori rules is obtained.,The summary of the statistics we can get comprehensive evaluation value of drivers,the effectiveness of the models and application methods building by this paper is demonstrated by experiments and diagram form.