AEB Strategy Considering the Braking Intention of Front Vehicle and Its Testing and Evaluation Method
To improve the collision avoidance performance of the Autonomous Emergency Braking(AEB)system in dangerous braking scenarios,this paper proposed an AEB control strategy considering the braking intention of the front vehicle and its test and evaluation method.A joint platform of PreScan,Simulink,and driving simulator was established to collect drivers'braking operation data,classify the braking intention of the front car based on K-means clustering method,and use sliding time window to extract intention recognition model to train the dataset.The front car uses a double-layer hidden Markov model to identify the driver's braking intention,while the main car calculates the critical safety distance threshold based on different braking intentions and performs collision avoidance control.A PreScan+Simulink virtual simulation and test environment was established,and AEB strategy comprehensive evaluation method was proposed based on Analytic Hierarchy Process(AHP).Four typical AEB control models were compared,which verified that the proposed method can timely trigger braking to avoid collisions in different braking scenarios,while reducing driving discomfort caused by premature braking.
Vehicle Active SafetyAutonomous Emergency Braking(AEB)Braking intentionTest and evaluationJoint simulation
万方数据
维普
