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.
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
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