AIoT for Smart Transportation: Transforming the future of mobility explores the convergence of artificial intelligence (AI) and the internet of things (IoT) technologies in the context of modern transportation systems.

Intelligent transportation systems (ITS) leverage cutting-edge information, electronic, sensing, communication, control, and management technologies to transform raw traffic data, gathered from individuals, vehicles, and road infrastructure within the transportation network, into valuable and actionable information. By facilitating real-time communication and seamless connectivity through robust communication systems, ITS can enhance the synergy among people, vehicles, and road infrastructure.

This book explores the dynamic intersection of AIoT technologies and their pivotal role in shaping the future of transportation systems. It looks at the critical challenges posed by urbanization, and the demand for efficient, safe, and sustainable mobility, featuring chapters exploring the challenges, technologies, applications, and future trends of AIoT in realizing intelligent transportation. Topics include: AIoT for real-time traffic analysis and optimisation, the role of data and sensors, security and safety, and sustainable mobility.

This book aims to help readers understand and leverage the potential of AIoT in modern transportation, providing insights and practical knowledge for those working, or interested, in the evolving landscape of smart transportation. It is intended to be a useful resource for researchers from industry and academia, scientists, and engineers in the fields of ICT and networking, IoT, smart technologies, and transportation.

Les mer

This edited book explores the convergence of artificial intelligence (AI) and the internet of things (IoT) technologies in the context of modern transportation systems. It covers the challenges, technologies, applications, and future trends of AIoT in realizing intelligent transportation.

Les mer
  • Chapter 1: Introduction to AIoT in Smart Transportation
  • Chapter 2: Understanding AIoT Technologies and Their Relevance in Modern Transportation Systems
  • Chapter 3: Advancement in Intelligent Transportation Systems using AIoT
  • Chapter 4: Enhancing Transportation: A Real-World Use Case of AI
  • Chapter 5: AIoT in Smart Transportation in Industry 5.0
  • Chapter 6: AIoT for real time traffic analysis and optimization
  • Chapter 7: Role of Data and IoT Sensors in Smart Transportation
  • Chapter 8: AIoT Based Safety and Security in Smart Transportation
  • Chapter 9: Enhancing tourists experience with AIoT in Smart Transportation Systems for Industry 5.0
  • Chapter 10: Promoting Sustainable Mobility for advancements in autonomous vehicle using AIoT
  • Chapter 11: Blockchain Technology and Cyber Security in Intelligent Transportation Systems
  • Chapter 12: Future of Mobility: Potential Challenges and Ethical Considerations
  • Chapter 13: Optimizing Emergency Response: An AIoT-Powered Approach to Traffic Management
  • Chapter 14: AI on the Move: A Real-World Use Case of Artificial Intelligence Enhancing Transportation
  • Chapter 15: Future perspectives of AIoT for Smart Transportation
Les mer

Produktdetaljer

ISBN
9781837240968
Publisert
2025-07-01
Utgiver
Vendor
Institution of Engineering and Technology
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
360

Biographical note

Meenu Gupta is a professor at the UIE-CSE Department, Chandigarh University, India. She is pursuing her postdoctoral fellowship from MIR lab, USA. She completed her PhD in computer science and engineering from Ansal University, Gurgaon, India, 2020. Her research areas cover machine learning, intelligent systems, and data mining. She is a life member of ISTE and IAENG, a senior member of IEEE and executive member of IEEE Delhi Section. Rakesh Kumar is associate director at the UIE-CSE Department, Chandigarh University, Punjab, India. He is pursuing his postdoctoral fellowship from MIR lab, USA. He completed his PhD in computer science and engineering from Punjab Technical University, Jalandhar, 2017. His research interests are IoT, machine learning, and natural language processing. He works as a reviewer for several journals and is a senior member of IEEE. Shakeel Ahmed is an associate professor at the Taylor's University, Malaysia. He holds a PhD in computer science from Indore University, India, with expertise in software engineering, artificial intelligence, cloud computing, software verification and validation. He has authored numerous research papers in reputable journals and IEEE conferences. As a book editor, he edited books on AIoT technologies and health care. A reviewer for prestigious quartile journals and a PC member of international conferences.