Cooperative Adaptive Cruise Control

Cooperative Adaptive Cruise Control (CACC) aims to improve traffic flow and safety by enabling vehicles to communicate and coordinate their movements, particularly within platoons. Current research focuses on enhancing CACC's robustness and safety through methods like reinforcement learning (including multi-agent and delay-aware variations), model predictive control (incorporating human driver interaction and stochasticity), and Kalman filtering for adaptive control in mixed traffic. These advancements address challenges such as human takeover, communication limitations, and unpredictable driver behavior, ultimately contributing to more efficient and safer autonomous driving systems.