An Intelligent Model for Real-time Private Traffic Management in Urban Networks: the Fluids/critic Approach

This paper proposes the use of advanced knowledge-based models to support human-computer interaction in the context of real time decision for management problems. The new conditions for human operation created by the telematics technology are discussed and a general architecture using knowledge modelling techniques is proposed. The approach is based on a reflective architecture where a metalevel layer dynamically configures reasoning strategies to generate the answers by looking into a structured collection of problem solving components. The proposal is illustrated with an example in the domain of real time private traffic management in the city of Turin.