Overview

This book explores the foundational concepts and architecture of the Internet of Vehicles (IoV), including data acquisition, communication, security, and privacy.

It highlights the application and potential of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in enhancing IoV systems.

Intended Audience

The book is a valuable resource for those interested in emerging technologies as it offers insights into the challenges and opportunities in IoV, with a focus on smart city integration.

Content Highlights

It discusses data analytics, security concerns, and protective measures, while also summarizing intelligent transport management systems and outlining future research directions.

Purpose

The book is designed for researchers and professionals as it provides a comprehensive understanding of the IoV landscape and the transformative role of AI, ML, and DL technologies.