Brief description: This project aims to design and implement a smart traffic management system that utilizes machine learning algorithms to optimize traffic flow, reduce congestion, and improve overall road efficiency. The system will incorporate real-time data from various sources such as road sensors, GPS devices, and traffic cameras to make data-driven decisions in rerouting and managing traffic. The project will involve developing algorithms for predicting traffic patterns, optimizing traffic signal timings, and providing dynamic route recommendations to drivers. The effectiveness of the system will be evaluated through simulation and real-world testing in a pilot location. – Complete project material
[ad_1] Table of Contents: Chapter One: Introduction 1.1 Background of the Study 1.2 Problem Statement 1.3 Objective of the Study 1.4 Limitation of Study 1.5 Scope of Study Chapter Two: Literature Review 2.1 Overview of…
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