Research On Classification Method Of Automobile Anti-collision Safety Grade

With the increase in the number of vehicles,traffic accidents occur frequently.In order to reduce the occurrence of traffic accidents,it is urgent to study the vehicle crash safety system.One of the important factors that ensure the safety distance of the vehicle is the automobile anti-collision.In this paper,two methods based on the kernel Fisher method and interval fuzzy reasoning to classify the safety distance data of automobile driving,the classification results in time feedback to the driver,to remind the driver to pay attention to safe driving.Classification is an important research problem in data mining and pattern recognition.In order to make the classification of the safety data of automobile crash safety,high speed of operation,this paper achieved the classification of the two methods,and achieved good results.First,the kernel based Fisher method has a great advantage in dealing with nonlinear data.Based on the Fisher linear discriminant analysis,the kernel function is obtained in the high dimensional feature space.The basic idea of the original training sample is transformed into a high dimensional feature space by a nonlinear mapping,and the Fisher linear discriminant is completed in the high dimensional feature space.The kernel based on Fisher method is very good to classify the safety data of automobile anti-collision.It can achieve higher accuracy,and it also provides a new method for the classification of safety data.The validity of the proposed method is verified on the MATLAB platform.Secondly,in the interval fuzzy reasoning method,the fuzzy classifier based on interval reasoning is proposed by Qiu Wangren,and the contribution of each attribute to the classification is considered,and a new matching method is put forward.The method can be classified by using the principle of maximum matching.The correct rate is high,and the processing of high data will not bring about the increase of the running speed ofthe index.In the classification of automobile crash safety data,the improved method is more effective than the original method,and the validity of the method is verified by simulation.