Fuzzy logic-based Control for Intelligent Traffic Systems

Abstract

In the realm of traffic management, conventional systems often rely on manual intervention at junctions, leading to inefficiencies and stress for commuters. This manual approach causes mental strain for passengers and results in significant fuel wastage due to delays at traffic junctions. Intelligent Traffic Systems (ITS) have long been recognized as effective tools for mitigating traffic congestion and improving traffic flow. By combining hardware and software techniques, ITS can monitor traffic movements and optimize signal timings to alleviate congestion. The cost-effectiveness of ITS is significantly influenced by the method used for traffic data collection. Utilizing ultrasonic and IR sensors for traffic flow measurement has been proposed as a means to reduce installation and maintenance expenses while enhancing system efficiency. This paper presents the design and implementation of an intelligent traffic lights controller utilizing fuzzy logic. By integrating roadside sensors and an Arduino Mega interface with ultrasonic sensors, the system dynamically adjusts traffic signals to manage congestion effectively. Implementing this system at intersections not only eliminates the need for manual traffic control but also reduces overall wait times compared to traditional traffic control systems.