Adaptive dynamic surface control for car-following tasks based on probabilistic prediction of preceding vehicles future motion states

Key Points

• The aim is to enhance car-following performance through adaptive dynamic surface control using motion prediction techniques.
• Developed an adaptive dynamic surface control algorithm for vehicle following
• Utilized probabilistic prediction models to estimate future motion states of preceding vehicles
• Simulated vehicle scenarios to evaluate control effectiveness
• The control algorithm improved responsiveness in vehicle following tasks
• Probabilistic predictions increased accuracy in anticipating preceding vehicle movements
• Demonstrated a reduction in potential collision scenarios through controlled following behavior