Physics and AI improve autonomous vehicle platooning reliability

A research team from Southeast University and Monash University proposed a physics-informed platooning control framework that combines multi-source state fusion, model predictive control, and data-driven optimization to handle sensor uncertainties and actuator nonlinearities. The study was published in Communications in Transportation Research.