Self-organizing urban traffic control based on fuzzy cellular model

The paper introduces a self-organizing traffic signal system for an urban road network. In the presented system, the traffic control decisions are made on the basis of predictions that are obtained from a fuzzy cellular traffic model. The fuzzy cellular model represents traffic streams at the microscopic level. Therefore it can directly map parameters of individual vehicles and the vehicle classes can be taken into account in making the control decisions.Simulation experiments were performed to compare the performance of the self-organizing traffic control for twoscenarios: first, when the class of vehicles is taken into account and second, when the information on the vehicle class is unavailable. Results of the simulations allow us to explore the possibility of performance enhancement of the urban traffic control through the utilisation of microscopic traffic models and vehicle classification systems.