Adaptive Cruise Control for Cut-In Scenarios Based on Model Predictive Control Algorithm

In a cut-in scenario, traditional adaptive cruise control usually cannot effectively identify the vehicle and respond to it in advance. This paper proposes an (ACC) strategy based on MPC algorithm for scenarios. A finite state machine (FSM) is designed manage different For method quantify possibility of proposed. At same time, safety distance model established as basis transition machine. Taking quantified reference, predictive (MPC) algorithm, which considers constraints driving comfort, used realize coordinated host vehicle. Simulink–Carsim simulation studies show that ACC scenario can Faced with vehicle, using brake several seconds early switch following target Meanwhile, acceleration jerk changes within reasonable range, ensures comfort.