The traffic congestion has become a serious problem in a city. The traffic congestion had important consequences in terms of social, economic and environmental preoccupations. For this reason, several ITS was proposed and their role is to manage the existing highway, public transportation and railroad infrastructure to ease congestion and respond to crises. Developer of such system seek to have a system that insure a safer and more convenient travel for people. In this paper, we propose a system for junctions traffic lights control based on case based reasoning (CBR) approach and fuzzy sets theory. In fact, the CBR is always considered as a cyclic paradigm of Artificial Intelligence and that is used to learning and problem solving based on past experience. The developed system is tested with on a virtual junction and the obtained results are discussed.