Study on AEB Testing for Passenger Cars Rear-Ending Trucks Based on Accident Data Mining and Analysis
The high casualty rate among passengers in cars rear-ending trucks has aroused a great deal of attention.However,neither domestic nor international standards and regulations have published AEB tests specific to rear-end collisions between passenger cars and trucks.The paper proposes a new typical AEB test scenario for passenger cars rear-ending trucks,based on real traffic accident data in the future mobile traffic accident scenario study(FASS)database.The K-means clustering algorithm is used to identify the test target color that represents actual trucks,and the characteristic parameters of the truck's rear are extracted based on accident data analysis.A new AEB test target is designed and produced,resembling a red,heavy and box-type truck,with reflective characteristics and machine vision features similar to those of real trucks.Finally,the feasibility and effectiveness of the test target were verified by real vehicle tests,where the truck target remained stationary while the test vehicle speeds were set at 45,50,55,60 km/h,with a 100%overlap.This study provides data support for the development of relevant standards and regulations of vehicle active safety and promotes the improvement of vehicle active safety testing technology.
AEBpassenger car and truck rear-end collisiontest scenariotest target
国家科技期刊平台
NSTL
万方数据
维普
