Distributed Bayesian Decision-Making for Urban Traffic Control

Bayesian approach to decision-making is successfully applied in control theory for design of control strategy. The approach is based on the assumption that only one decision-maker is an active part of the system. This assumption was recently relaxed yielding distributed Bayesian decision-making theory. This extension is useful for large distributed systems which intrinsically contains a lot of uncertainty. In this paper, we apply the theory to distributed control of one example of such a system, the surface traffic network in dense urban areas