The purpose of this paper is to develop a fuzzy logic model for traffic system. This model is used to overcome the problem of traffic congestion in cities. Consequently, travelling time, fuel consumption and pollution can reduce. Moreover, traffic flow prediction helps the transport users to plan their time of travel and also in selecting the travelling path depending on the predicted information. In this paper, we used density of vehicles variable to design a system which uses the green signal depending on the number of vehicles in that particular line. Here fuzzy logic toolbox of MATLAB is used. The fuzzy sets and membership functions are chosen in an appropriate manner.
Fuzzy logic toolbox, density, signal time, traffic system.
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[Elda Maraj , Shkelqim Kuka, Zhifka Muka (2019) Application of Fuzzy Logic in Traffic System IJIRCST Vol-6 Issue-4 Page No-33-37] (ISSN 2347 - 5552). www.ijircst.org
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