Scene Analysis Of Automobile And Two Wheeled Vehicle Collision And AEB Collision Avoidance Research

Intelligent driving is an inevitable development trend in the future.Advanced Driving Assistance System(ADAS)has become the focus of safety technology research of automobile manufacturers.Autonomous Emergency Braking System(AEB)is a typical representative of ADAS.It can prevent and control traffic accidents to a certain extent.Due to the high probability of accidents and fatal injuries of two-wheeled vehicle drivers,the AEB system development and testing of two-wheeled vehicle traffic scene elements such as motorcycles and electric bicycles by researchers from various countries has become a hot spot.Due to the differences in road traffic conditions,only the scenario study and AEB system verification based on China’s road traffic accidents can provide a reference for AEB system development and testing in China.Based on the vehicle accident cases of the National Automobile Accident In-Depth Investigation System,this paper conducts a study on the scenario analysis and AEB collision avoidance of the collision accident between automobile and two-wheeled vehicle,mainly including the following three aspects:First,the traffic accident data is used to extract the scene elements of the two-wheeled vehicle accident.The test scenario of AEB system for two-wheeled vehicle in this paper is based on the data of actual road traffic accidents in China.National Automobile Accident In-the Depth study System database extract 323 car and two rounds of car collision Accident case,through analysis of the case contains variables from 18 relevant variables,and USES the spearman correlation analysis method to extract the closely related with two rounds of car collision Accident of variables and values to build two rounds of car Accident scene elements table.Secondly,the risk scenarios of collision between cars and two-wheelers are analyzed and modeled.According to the 11 variables and 29 variable values contained in the two-wheel vehicle accident scene element table,up to 20736 dangerous scenarios can be arranged and combined according to the 29 variable values.In the face of a wide variety of scenarios,it is obvious that the AEB system test simulation cannot be carried out one by one.Instead,it is of practical significance to find out typical scenarios with high risk level and reconstruction simulation among the many composite scenarios.So this article makes full use of bayesian networks have diagnostic reasoning function,by car with two wheels car collision accident determine the level of 6 kinds of dangerous as a prior condition,through the bayesian network diagnosis 6 kinds of dangerous level scene elements,the size of the a posteriori probability,the extraction of the same variable element identify probability value of 6 kinds of dangerous scenes,and based on the six kinds of risk scenarios parametric setup USES the PreScan software simulation modeling.Third,AEB collision avoidance model construction and AEB optimization matching test scenarios.Based on the six scenarios obtained from the bayesian network model and the AEB control module of the TTC model built in Simulink was loaded onto the test vehicle,the AEB system was tested jointly with PreScan.From the test result of AEB system involving crossing track cross and reverse driving worse scenario,after analysis of testing data found AEB system plays an key role in collision avoidance collision prediction module,so in view of the above two types of scenes from the AEB system trigger the width and trigger Angle a separate analysis of two parameters optimization matching,make AEB system trajectory cross at an intersection scene successful realization of collision avoidance,in retrograde motion scene slows the collision and reduce injuries two rounds of car.In conclusion,this article is based on case analysis data of National Automobile Accident In-the Depth study System based on the domestic traffic accident car and two rounds of car collision of six kinds of risk scenarios,and establish the simulation model of a test scenario,test the AEB system in collision avoidance effect of 6 kinds of scenes,and the trajectory cross intersection and reverse driving these 2 kinds of particular scenario the AEB system performance optimization.In this paper,the method of arrangement and combination of scene elements and the application of bayesian network diagnostic reasoning are used to reconstruct the test scenarios of automobile and two-wheeled vehicle and to conduct AEB test matching optimization in combination with dangerous scenarios,which provides a new idea for the industry research.