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Traffic systems are difficult to be controlled with a simple linear algorithm because of their highly-nonlinear natures with different vehicle types, speeds, lengths, and flow rates; moreover, they are time-varied especially in urban areas and industrial parks with high-density employees. This paper will present a traffic flow control strategy with a fuzzy and adaptive algorithm to control traffic signals at an intersection to effectively improve the traffic flow rate . With the recent development of networking technologies, this paper further integrates the proposed adaptive-fuzzy (AF) control and the multi-agent system as the proposed adaptive fuzzy multi- agent system (AF agent) to further improve the flow rate of traffic networks. Results with the VISSIM simulator indicate that the present approach is feasible in modern traffic network management.
Date of Conference: 7-10 Oct. 2007