Self-organizing traffic control via fuzzy logic

Presents an approach to self-organizing traffic signal control based on a fully distributed system of cooperative local controllers. The signal timing parameters at each intersection are adjusted by a local controller as functions of the local traffic condition and of the signal timing parameters at adjacent intersections. Each local controller uses a set of fuzzy decision rules to adjust the standard signal timing parameters: cycle time, phase split, and offset. This fully distributed architecture provides for a fault-tolerant, responsive traffic control system, while the underlying fuzzy rule-based algorithm provides for a flexible and easily extensible control law. The authors show the effectiveness of this method through simulation of the traffic flow in a network of controlled intersections