Description: This project aims to create a smart traffic management system that utilizes machine learning algorithms and Internet of Things (IoT) devices to optimize traffic flow in urban areas. The system will use real-time data from sensors, cameras, and other IoT devices to predict traffic patterns, detect congestion, and suggest alternate routes to drivers. Machine learning algorithms will be used to analyze historical traffic data and make real-time predictions to improve traffic flow and reduce congestion. The project will involve designing and implementing a user-friendly interface for both drivers and traffic authorities to access and interact with the system. The end goal of this project is to create a scalable and efficient solution to improve traffic management in urban areas. – Complete project material
[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Problem Statement 1.3 Objectives of the Study 1.4 Scope of the Study 1.5 Limitations of the Study Chapter 2: Literature Review 2.1…
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