Human Centric Intelligent Transportation Systems (eBook)

Fundamentals, Applications, Analysis, and Challenges
Artikelnummer: 978-1-040-62503-3
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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Section 1: Basics and Fundamentals. 1. Digital Twins in the Modern Era of IoT and AI. 2. AI-Powered Smart Contracts in Blockchain-IoT. 3. Optimizing Vehicle-to-Cloud and Grid Interactions for Smart Energy Management of EVs. 4. Integration of 6G Technology in Transportation Systems. 5. Smart Mobility for All: Human-Centric Approaches to Personalized Transportation Solutions. Section 2: Methods and Principles. 6. Architecting IoT Edge Computing: Enhancing Resource Efficiency and Energy Optimization. 7. Network Infrastructure and Connectivity. 8. BIDA: Blockchain-Integrated Decentralized Affordable Cities Network for Modern Generation. 9. Performance Metrics and Evaluation. 10. Energy Efficient Wireless Body Area Network Technology for Prevention and Detection of Hasty Cardiac Arrest using IoT. Section 3: Applications and Use Cases. 11. Cyber Security in Intelligent Transportation Systems. 12. Predictive Maintenance Using Digital Twins: An AI-Driven Approach in IoT-Blockchain Systems. 13. Disaster-Aware Rerouting System Using Social Media-Inspired Alerts: A Network-Based Approach for Urban Traffic Management. Section 4: Open Issues and Future Research Opportunities. 14. Cybersecurity Challenges in Blockchain-IoT Ecosystems. 15. Blockestate: Revolutionizing Property Transactions. 16. Adaptive and Context-Aware Intelligent Transportation Systems toward Human-Centered Mobility for Society 5.0. 17. Integration of 6G Technology in Transportation Systems. 18. Integration of Advanced Wireless Communication Technologies 5G, 6G, and beyond in Transportation Systems: Opportunities and Challenges.

Section 1: Basics and Fundamentals. 1. Digital Twins in the Modern Era of IoT and AI. 2. AI-Powered Smart Contracts in Blockchain-IoT. 3. Optimizing Vehicle-to-Cloud and Grid Interactions for Smart Energy Management of EVs. 4. Integration of 6G Technology in Transportation Systems. 5. Smart Mobility for All: Human-Centric Approaches to Personalized Transportation Solutions. Section 2: Methods and Principles. 6. Architecting IoT Edge Computing: Enhancing Resource Efficiency and Energy Optimization. 7. Network Infrastructure and Connectivity. 8. BIDA: Blockchain-Integrated Decentralized Affordable Cities Network for Modern Generation. 9. Performance Metrics and Evaluation. 10. Energy Efficient Wireless Body Area Network Technology for Prevention and Detection of Hasty Cardiac Arrest using IoT. Section 3: Applications and Use Cases. 11. Cyber Security in Intelligent Transportation Systems. 12. Predictive Maintenance Using Digital Twins: An AI-Driven Approach in IoT-Blockchain Systems. 13. Disaster-Aware Rerouting System Using Social Media-Inspired Alerts: A Network-Based Approach for Urban Traffic Management. Section 4: Open Issues and Future Research Opportunities. 14. Cybersecurity Challenges in Blockchain-IoT Ecosystems. 15. Blockestate: Revolutionizing Property Transactions. 16. Adaptive and Context-Aware Intelligent Transportation Systems toward Human-Centered Mobility for Society 5.0. 17. Integration of 6G Technology in Transportation Systems. 18. Integration of Advanced Wireless Communication Technologies 5G, 6G, and beyond in Transportation Systems: Opportunities and Challenges.

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VerlagTaylor & Francis Ebooks
EinbandAdobe Digital Editions
Erscheinungsjahr2026
Seitenangabe408 S.
AusgabekennzeichenEnglisch
Abbildungen144 schwarz-weiße und 11 farbige Abbildungen, 49 schwarz-weiße Fotos, 95 schwarz-weiße und 11 farbige Zeichnungen, 62 schwarz-weiße Tabellen
Masse34'045 KB
PlattformEPUB
AutorTyagi, Amit Kumar

Über den Autor Amit Kumar Tyagi

Amit Kumar Tyagi is working as an Assistant Professor at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he has worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (for the periods of July 2009¿-¿¿July 2010, and October 2012-¿October 2013), Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (September 2018-¿May 2019), VIT Chennai (June 2019-¿November 2022) and NIFT New Delhi (November 2022¿-September 2025). His supervision experience includes more than 10 Master's dissertations and one PhD thesis. He has contributed to several projects such as ¿"AARIN"¿ and "¿P3-Block"¿ to address some of the open issues related to privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). He has done more than 60 edited and authored books and collaborated with eminent professors across the world from top QS-ranked universities. Also, He has published over 350 research articles in refereed high-impact journals, conferences, and books, and some of his articles have been awarded as best paper awards. Also, he has fi¿led more than 15 patents (Nationally and Internationally) in the area of Deep Learning, Internet of Things, Cyber Physical Systems, and Computer Vision. He is a Winner of Faculty Research Award for the years 2020, 2021, and 2022 (three consecutive years) given by Vellore Institute of Technology, Chennai, Tamil Nadu, India. His current research focuses on Next Generation Machine-Based Communications, Blockchain Technology, Smart and Secure Computing, and Privacy. He is a senior member of IEEE. Shrikant Tiwari (Senior Member, IEEE) received his Ph.D. in the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India, in 2012 and his M. Tech. in Computer Science and Technology from the University of Mysore, India, in 2009. Currently, he serves as a Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India. Dr. Tiwari has published over 85+ papers in refereed high-impact journals, conferences, and books, with several of his articles receiving best paper awards. He has also fi¿led more than 10 patents, both nationally and internationally, in the areas of deep learning, the Internet of Things, cyber-physical systems and computer vision. Additionally, he has edited more than ten books for prestigious publishers such as IET, Elsevier, Springer and CRC Press. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition and biometrics.

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