Research On Automatic Emergency Braking System Testing Method For Vulnerable Road Users

As a breakthrough in the transformation and upgrading of automotive products,intelligent network vehicles are being paid more and more attention by the Auto Makers and parts and components manufacturers.At the same time,the key technologies in the intelligent network vehicles are also put forward higher requirements.As the core technology in the lowest intelligent network technologys,the Advanced Driving Assistant System(ADAS)mainly includes Autonomous Emergency Braking system(AEB),Adaptive Cruise Control system(ACC),Lane Departure Warning system(LDW)and Electronic Stability Controller system(ESC).This paper mainly focuses on the research of typical test scenarios and joint simulation analysis of Autonomous Emergency Braking system(AEB)in ADAS.In order to obtain the vehicle movement information with Chinese characteristics,road environment information and the movement state of the disadvantaged road users,this paper firstly analyzes the dangerous database of China’s traffic accident in-depth study(CIDAS),and then selects the typical accidents cases of the disadvantaged road users that are suitable for our country’s road traffic situations.Finally,the accident reconstruction for each case is carried out.Through the systematic cluster analysis of the typical accidents cases that were obtained by reconstruction including of 150 cases involving riders and 50 cases involving pedestrians.The test scene of automatic emergency braking system for evaluating the disvantaged road users(AEB_VRU)was extracted and the corresponding evaluation method was established.The virtual traffic mode model of typical test scene is built by Prescan,and the automatic emergency braking system(AEB)algorithm control model is built in Matlab/Simulink software.Through the joint simulation analysis,the specific implementation process of the AEB testing method is validated effectively,and the validity of the test scene is proved in a further step.