A framework for real-time integrated and anticipatory traffic management

This paper presents a framework for real-time integrated and anticipatory traffic management. It uses model predictive control including route choice to optimize traffic management. It is tested for one small network with good results. Simulations varying the prediction horizon, the number of iterations of the assignment within the optimization loop and the optimization criterion were conducted and results of these simulations are given. The framework can be used as a basis for further research on this topic.