A Survey of Smart Control of Traffic Light System using Artificial Intelligence

Abstract

With a population increase and automobiles in cities, traffic congestion has become one of the most important concerns. Heavy traffic not only adds stress and delay to vehicles, but also rises energy pollution and consumption. Megacities are the most affected, despite the fact that it seems to be present everywhere. Because of this, real-time traffic density calculations are required for improved signal control and efficient traffic management. The traffic controller is one of the key elements affecting traffic flow. As a result, improving traffic management is required to better meet this rising demand. Our suggested system will employ artificial intelligence and image processing to determine traffic density using real-time images from traffic junction cameras. Additionally, it focuses on the algorithm for changing traffic signals based on vehicle density in order to lessen congestion, improve travel times for passengers, and cut emissions.