Active Inference approaches traffic management as a prediction process in which actors explicitly account for uncertainty and decide in a decentralised way, without losing sight of network-wide goals. Using concrete situations such as route choice, signal control and in-car advice, we explore what this framework means for road authorities and traffic control centres. I present an introduction to active inference, moving from cells to traffic.