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.

• Chapter 1: Vehicular Ad Hoc Networks: past, present and futureChapter 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 NetworksChapter 5: Unmanned Aerial Vehicles (UAV) relay in Vehicular Ad Hoc Network (VANETs) against smart jamming with reinforcement learning/deep learningChapter 6: Vehicular cloud computing: introduction to cloud-based vehiclesChapter 7: Advanced vehicle motion control and LTE/5G/6G for vehicular communicationsChapter 8: Computer vision in Autonomous Intelligent Vehicles (AIV)Chapter 9: Biometric and blockchain-based vehicular technologyChapter 10: Internet of Things-based vehicular technology (IoV): introduction and its scopeChapter 11: Intelligent transportation system: Introduction and its scope in the near futureChapter 12: Autonomous Vehicles (AVs): localization, navigation and tracking/tracingChapter 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 SystemsChapter 15: Multi-channel operations, coexistence, and spectrum sharing for vehicular communicationsChapter 16: Simulation tools and techniques for vehicular communications and its applicationsChapter 17: Security, privacy, and trust for Autonomous Intelligent Vehicles/Intelligent Transportation SystemsChapter 18: Future research trends, applications, and standards in emerging vehicle technologyChapter 19: Conclusion

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.

• Chapter 1: Vehicular Ad Hoc Networks: past, present and futureChapter 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 NetworksChapter 5: Unmanned Aerial Vehicles (UAV) relay in Vehicular Ad Hoc Network (VANETs) against smart jamming with reinforcement learning/deep learningChapter 6: Vehicular cloud computing: introduction to cloud-based vehiclesChapter 7: Advanced vehicle motion control and LTE/5G/6G for vehicular communicationsChapter 8: Computer vision in Autonomous Intelligent Vehicles (AIV)Chapter 9: Biometric and blockchain-based vehicular technologyChapter 10: Internet of Things-based vehicular technology (IoV): introduction and its scopeChapter 11: Intelligent transportation system: Introduction and its scope in the near futureChapter 12: Autonomous Vehicles (AVs): localization, navigation and tracking/tracingChapter 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 SystemsChapter 15: Multi-channel operations, coexistence, and spectrum sharing for vehicular communicationsChapter 16: Simulation tools and techniques for vehicular communications and its applicationsChapter 17: Security, privacy, and trust for Autonomous Intelligent Vehicles/Intelligent Transportation SystemsChapter 18: Future research trends, applications, and standards in emerging vehicle technologyChapter 19: Conclusion

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.

• Chapter 1: Vehicular Ad Hoc Networks: past, present and futureChapter 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 NetworksChapter 5: Unmanned Aerial Vehicles (UAV) relay in Vehicular Ad Hoc Network (VANETs) against smart jamming with reinforcement learning/deep learningChapter 6: Vehicular cloud computing: introduction to cloud-based vehiclesChapter 7: Advanced vehicle motion control and LTE/5G/6G for vehicular communicationsChapter 8: Computer vision in Autonomous Intelligent Vehicles (AIV)Chapter 9: Biometric and blockchain-based vehicular technologyChapter 10: Internet of Things-based vehicular technology (IoV): introduction and its scopeChapter 11: Intelligent transportation system: Introduction and its scope in the near futureChapter 12: Autonomous Vehicles (AVs): localization, navigation and tracking/tracingChapter 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 SystemsChapter 15: Multi-channel operations, coexistence, and spectrum sharing for vehicular communicationsChapter 16: Simulation tools and techniques for vehicular communications and its applicationsChapter 17: Security, privacy, and trust for Autonomous Intelligent Vehicles/Intelligent Transportation SystemsChapter 18: Future research trends, applications, and standards in emerging vehicle technologyChapter 19: Conclusion