Multi-Agents Systems for Intelligent Control of Traffic Signals

In this paper the application of a multiagent system for controlling a set of traffic signals is considered. A fuzzy logic control scheme to regulate the flow of traffic approaching a set of three intersections is presented. The signal timing parameters, green phase splits and offset, are adjusted online based on the actual traffic approaching each intersection. An adaptive fuzzy logic traffic controller (FLTC) is used to adjust the green phase splits of the north-south and east-west approaches of each traffic signal. Each intersection is coordinated with its adjacent intersections by a multiagent system. The multiagent system uses a fuzzy rule based system for its decision making to coordinate all three intersections simultaneously. The effectiveness of the proposed control strategy is established through simulations.