Simulation and optimization of urban traffic using AI Original Research Article

A model and methodology for simulating traffic in conurbation are described. The aim of the simulation was the optimization of traffic with special regard to the air pollution caused. For the determination of the solution aimed at intelligent demons monitoring and modifying the model are used. Furthermore knowledge based mobile entities – based on Knowledge Attributed Petri Nets – for the description of the routing of the vehicles are utilized.