Research on AEB Collision Avoidance Strategy Based on Characteristics of Driver-Vehicle-Road

With the rise of intelligent transportation systems around the world, research on automobile active safety technology has gained widespread attention. Autonomous Emergency Braking (AEB) which can avoid or mitigate collision by active braking has become a hot research topic in the field of automobile. However, there are some limitations in the present AEB collision avoidance strategy, including lack of effective identification of road adhesion conditions, mismatch of active braking system parameters and imperfection of target vehicle motion information, which leads to poor collision avoidance performance on low adhesion coefficient road surface and intervention with the normal driving operation of the driver. A new collision avoidance strategy for AEB is proposed in this paper. Firstly, a new safe distance collision avoidance model is established based on the peak adhesion coefficient in real time, the performance parameters of the active braking system and the motion information of the target vehicle. Secondly, under the premise of not interfering with the driver's normal collision avoidance operation, an AEB collision avoidance strategy that can balance vehicle safety and intervention comfort is proposed. Finally, the C-NCAP scenario test is carried out on the hardware-in-loop test environment. The results show that the AEB collision avoidance strategy proposed in this paper can actively adjust the braking moment according to the current road surface attachment condition. The collision avoidance can be achieved in the most test scenarios, and the minimum distance between the self-vehicle and the target vehicle is less than 1.5 meter. In the few test scenarios, the collision can also occur at a relative speed lower than 4.2 km/h, which satisfies the active avoidance of the vehicle.