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.
关键词
车辆主动安全/自动紧急制动/制动意图/测试与评价/联合仿真
Key words
Vehicle Active Safety/Autonomous Emergency Braking(AEB)/Braking intention/Test and evaluation/Joint simulation
维普
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