Advance Traffic Light System Based On Congestion Estimation Using Fuzzy Logic

Vehicular traffic is the major problem which every country faces because of the increase in number of vehicles throughout the world, especially in large urban areas. Therefore it is required to explore the options to better accommodate increasing demand of traffic control and one of them is to development of simulated model and optimization of traffic control. Fuzzy optimization deals with finding the values of input parameters of a complex simulated system which results in desired output. Traditional techniques may require an enormous amount of simulation run to evaluate the system. Fuzzy logic controller is used to execute fuzzy logic inference rules from a fuzzy rule base in determining the congestion parameters, getting the warning information and the appropriate action. Input variables and output variable are defined as members of the universe of discourse, having degrees of membership determined by membership functions. Describe the design and implementation of an advance traffic light system based on congestion estimation using fuzzy logic. To simulate the situation of an isolated traffic junction based on congestion estimation, we use MATLAB. The simulation results shows that the fuzzy logic controller has better performance and is more cost effective than fixed time controller. Keyword — Simulation, Fuzzy logic, Advance Traffic light System, Queue, Arrival, Right-Turn, Left-Turn and Extension time.