Integration Design And Implementation For Dangerous Driving Behavior Monitoring System Of The Large Vehicles

With the rapid development of our society, the problem of road traffic safety is also becoming loom large. Road traffic accidents is becoming one of the important factors that affect people’s sense of security gradually.Recent years, according to statistical analysis of road traffic accidents in our country, the driver’s dangerous driving behavior has been dominant in which cause the road accidents. Large vehicles causing trouble is the main reason which cause group of injury and death,and is bring very bad social influence. According to our country statistics annals analysis of road traffic accidents,the bus has accounted for only25.94%of the total but its accident proportion is41.47%of the total,by the end of2009. Through the analysis of some large vehicle traffic accidents which caused by large vehicles, we can find that speeding、illegal for driving and following too closely are the main reasons of the accident. To reduce the large vehicle’s accident rate,at home and broad,some research institutions developed some dangerous driving behavior monitoring system,but the existing dangerous driving behavior monitoring system has the single monitoring function which can’t adapt to the changing environment and can’t monitor a variety of dangerous driving behaviors at the same time. So we need to study a dangerous driving behavior monitoring integration system of large vehicles which can sharing many sources of information, and has certain autonomy, and also can monitor a variety of dangerous driving behaviors.There are some specific content as follows:This paper introduces the existing dangerous driving behavior monitoring system of vehicles and analyzes the deficiencies of the existing dangerous driving behavior monitoring system,and then analyzes the demand of the dangerous driving behavior monitoring integration system of large vehicles.This paper Introduces Agent theory and Multi-Agent information fusion theory,and introduces the Q learning algorithm and its application in the agent model.Based on the Agent theory,this paper establishes four monitoring agent and a fusion agent model of the dangerous driving behavior monitoring integration system of large vehicles,and integrates Q learning algorithm into monitoring agent.Based on the Multi-Agent information fusion theory,this paper establishes Multi-Agent information fusion model of the dangerous driving behavior monitoring integration system of large vehicles,and introduces the credibility matrix and the D-S evidence theory method in the fusion algorithm.According to Multi-Agent information fusion model of the dangerous driving behavior monitoring integration system of large vehicles,this paper designs hardware and software systems of the dangerous driving behavior monitoring integration system of large vehicles.Through the car experiment data,this paper detects the reliability and accuracy of the dangerous driving behavior monitoring integration system of large vehicles.