CONTENTS Introduction Traffic lights control system Design criteria and constraints Fuzzy logic traffic lights controller system Input and output membership functions Fuzzy rule base Inference engine and defuzzification Conclusion
INTRODUCTION
Traffic congestion is a severe problem in many modern cities around the world. Traffic congestion has been causing many critical problems and challenges in the major and most populated cities. Due to these congestion problems, people lose time, miss opportunities, and get frustrated.
In this report we discuss the implementation of an intelligent traffic lights control system using fuzzy logic technology which has the capability of mimicking human intelligence for controlling traffic lights. A software based on Visual Basic has been developed to simulate an isolated traffic junction.
Fuzzy logic technology allows the implementation of real-life rules similar to the way humans would think. For example, humans would think in the following way to control traffic situation at a certain junction: “if the traffic is heavier on the north or south lanes and the traffic on the west or east lanes is less, then the traffic lights should stay green longer for the north and south lanes”. Such rules can now be easily accommodated in the fuzzy logic controller. A comparison between the performance of the fuzzy traffic lights controller and the conventional fixed-time
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