This project aims to design and implement an intelligent traffic management system that utilizes machine learning algorithms and Internet of Things (IoT) technology to optimize traffic flow and reduce congestion on roads. The system will collect real-time data from sensors installed at various points on the road network, such as traffic cameras, smart traffic lights, and vehicle detection sensors. This data will be processed and analyzed using machine learning algorithms to predict traffic patterns and optimize traffic signal timings in order to reduce congestion and improve overall traffic flow. The project will also explore the use of IoT technology to enable communication between different traffic management components and control devices remotely. The goal of this project is to develop a smart and efficient traffic management system that can adapt to changing traffic conditions in real-time and provide a more seamless driving experience for commuters. – 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 Research Questions 1.5 Scope of the Study 1.6 Limitations of the Study Chapter 2:…
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