Fuzzy logic applications for traffic control “ an optimum and adaptive controlling application ”

The monitoring and control of Road traffic is becoming a major problem in many countries. With the ever increasing number of vehicles on the road, the Monitoring authorities have to find new ways or measures of overcoming such a problem. In this paper we discuss the implementation of an intelligent traffic control system using fuzzy logic technology which has the capability of mimicking human intelligence for controlling traffic lights. The rules and membership functions of the fuzzy logic controller can be selected and changed and their outputs can be compared in terms of several different representations. Fuzzy logic technology allows the implementation of real-life rules similar to the way humans would think. The beauty of fuzzy logic is that it allows fuzzy terms and conditions such as “heavy”, “less”, and “longer” to be quantized and understood by the computer. Fuzzy control is a control method based on fuzzy logic. Fuzzy logic can be described simply as “computing with words rather than numbers” or “control with sentences rather than equations”. A fuzzy controller can include empirical rules, and that is especially useful in operator controlled plants. The collection of rules is called a rulebase. The rules are in IF-THEN format, and formally the ifside is called the condition and the then-side is called the conclusion. The system is able to execute the rules and compute a control signal depending on the measured inputs error and change in error.