Multi-Agents Systems for Intelligent Control of Traffic Signals

Authors:
Masoud Mohammadian
Affiliations:
University of Canberra, ACT, Australia
Venue:
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Year:
2006

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Abstract

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 on-line 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 simulatneously. The effectiveness of the proposed control strategy is established through simulations.