<p>Nowadays, the AEB system plays an important role in the field of vehicle safety because of its effective detection of forward vehicles and automatic deceleration. Most existing studies on the AEBsystem usually focus on forward collision avoidance. Since the motion of the rear vehicle is not incorporated, it is prone to excessive braking, increasing the risk of rear-end collision by the rear vehicle. To this end, we propose an AEB control strategy that considers both front and rear vehicles: by constructing a critical deceleration model for preventing rear-end collisions and determining the subject vehicle’s deceleration model based on forward collision risk assessment. Meanwhile, the variable trigger threshold of the AEB system is determined based on the above models. When a forward collision risk is detected, the system prioritizes braking using the deceleration calculated for rear-end collision avoidance. If this deceleration cannot avoid the forward collision, it switches to the minimum deceleration for preventing forward collision to minimize the threat of rear-end collision from the rear vehicle. Through simulation comparison and verification under typical working conditions, compared with the traditional Berkeley model, this algorithm can take into account the motion state of the rear vehicle, balance the collision risks from the front and rear, and effectively avoid rear-end collisions caused by excessive braking of the AEB system.</p>