Smart Traffic Management System

Abstract

Abstract: This document gives formatting instructions for authors preparing papers for publication in the Proceedings of an IEEE conference. The authors must follow the instructions given in the document for the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text. Abstract: Traffic congestion has become a significant issue in metropolitan areas. The exponential growth in the number of vehicles on the road has outpaced the development of road infrastructure. As a result, people are spending more time traveling between the same destinations every year. Many cities continue to rely on traditional traffic signal systems that are either manually controlled or operate on fixed time schedules. Unfortunately, these conventional methods lack efficiency as they do not utilize real-time data to optimize traffic flow. One critical problem with these outdated systems is the inability to clear the path for emergency vehicles, such as ambulances, fire trucks, and police vehicles, especially during peak traffic hours. The manual operation of traffic signals is prone to errors, leading to increased fuel consumption and even health-related issues due to prolonged exposure to traffic. Additionally, these conventional systems often result in unequal traffic flow from different directions at a given time. It's evident that the existing traffic management methods are insufficient and outdated, and there's a pressing need to implement smarter and more efficient traffic control systems to address these issues