Human-Like Decision Making and Motion Control for Smooth and Natural Car Following

Car-following is an important driving behaviour for intelligent vehicles and has a significant impact on traffic efficiency safety. models are widely developed to characterize the human-drivers’ car-following manoeuvre actions adopted in simulation automated vehicle control system development. need be able represent drivers’ while following preceding vehicles. On other hand, controllers component of systems, both autonomous connected However, Adaptive Cruise Control (ACC) as well Cooperative (CACC) do not include human behaviour, which makes their human-like or natural on-board driver passenger. To address this problem, study, Wiedemann model calibrated verified with our simulator data. A nonlinear predictive (MPC) controller based model. Three different scenarios tested evaluate performance proposed controller, have smooth trajectories at phases within transition zones.