Overview

The automation of road vehicles is still developing, moving towards improved technology, safety, energy and fuel efficiency, comfort, economic growth, and real-world applications. Vehicle connectivity and information exchange over the road is an essential requirement for the future of automated driving. This book is intended to help bridge the gap between theory and applications of autonomous vehicles. Vehicular Ad Hoc Networks and Emerging Technologies for Road Vehicle Automation covers autonomous road vehicles and systems, with a particular focus on vehicular ad-hoc networks (VANETs). VANETs are a key part of the intelligent transport systems framework. They are created by applying the principles of mobile ad-hoc networks to vehicles; that is, the spontaneous creation of a wireless network of mobile devices based on inter-vehicle communication. Coverage also includes further aspects of autonomous road vehicles, including hybrid vehicles, autonomous intelligent vehicles, and autonomous decentralized systems (ADS). The book is essential reading for researchers and advanced students from academia, industry and government working on the automation of road vehicles. Additionally, it is a helpful resource for students, researchers and newcomers to the field; providing an in-depth understanding of autonomous road vehicles, their internal structure, types, and fundamental principles, helping to inform and direct their research, and identify challenging areas and problems where further investigations are needed.

Full Product Details

Author:   Amit Kumar Tyagi (Senior Assistant Professor, Vellore Institute of Technology, School of Computer Science and Engineering, India) ,  Shaveta Malik (Associate Professor, University of Mumbai, Terna Engineering College, Computer Engineering Department, India)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781839534287

ISBN 10:   1839534281
Pages:   497
Publication Date:   02 January 2023
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: Vehicular Ad Hoc Networks: past, present and future Chapter 2: MAC layer, Hybrid MAC protocols in Vehicular Ad Hoc Networks (VANETs) Chapter 3: Opportunistic routing protocols for Vehicular Ad Hoc Network (VANETs) and intelligent transportation system (ITS) Chapter 4: Forwarding and remote networking in Vehicular Ad Hoc Networks Chapter 5: Unmanned Aerial Vehicles (UAV) relay in Vehicular Ad Hoc Network (VANETs) against smart jamming with reinforcement learning/deep learning Chapter 6: Vehicular cloud computing: introduction to cloud-based vehicles Chapter 7: Advanced vehicle motion control and LTE/5G/6G for vehicular communications Chapter 8: Computer vision in Autonomous Intelligent Vehicles (AIV) Chapter 9: Biometric and blockchain-based vehicular technology Chapter 10: Internet of Things-based vehicular technology (IoV): introduction and its scope Chapter 11: Intelligent transportation system: Introduction and its scope in the near future Chapter 12: Autonomous Vehicles (AVs): localization, navigation and tracking/tracing Chapter 13: Realistic vehicular mobility/channel models for vehicular communications for autonomous intelligent vehicles (AIVs) Chapter 14: Intelligent network access system for environment perception and modeling in Intelligent Transportation Systems Chapter 15: Multi-channel operations, coexistence, and spectrum sharing for vehicular communications Chapter 16: Simulation tools and techniques for vehicular communications and its applications Chapter 17: Security, privacy, and trust for Autonomous Intelligent Vehicles/Intelligent Transportation Systems Chapter 18: Future research trends, applications, and standards in emerging vehicle technology Chapter 19: Conclusion

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Author Information

Amit Kumar Tyagi is a senior assistant professor (grade-I) and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilandu India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber physical systems, smart and secure computing and privacy. He has contributed to several projects such as AARIN and P3-Block , addressing some of the open issues related to privacy breaches in vehicular applications. Shaveta Malik is an associate professor in the Computer Engineering Department at Terna Engineering College, University of Mumbai, India, where she has more than 12 years of work experience. She received her PhD from Lingaya's University, Faridabad, India. Her research areas focus on image processing, machine learning, deep learning, and artificial intelligence. She has published number of patents related to machine learning.

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