Today, Ole Johan Andersen, presented his master project for the Norwegian Public Roads Administration.
Ole Johans work is on how case-based reasoning can be used to predict and improve traffic flow in urban intersections. His thesis presents a prototype case-based reasoning system for controlling the traffic lights in an urban intersection. The system uses historical vehicle counts obtained from an intersection in the city of Trondheim in order to make new signal plans. jColibri is used as the framework for the development of the CBR-system and evolutionary algorithms are used for weighting the case base. The traffic simulator Aimsun is used for the evaluation of our solution.
Simulation results indicate that the CBR-system is able to satisfactory calculate signal plans based on the predicted traffic, in a variety of different scenarios.