Artificial Intelligence for Transportation
eBook - ePub

Artificial Intelligence for Transportation

Transforming Mobility and Infrastructure

  1. 221 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Transportation

Transforming Mobility and Infrastructure

About this book

Artificial Intelligence (A) is transforming transportation by enabling intelligent, adaptive, and data-driven mobility systems capable of addressing growing urbanization and sustainability challenges. By leveraging machine learning, computer vision, natural language processing, and advanced data analytics, AI enhances traffic prediction, autonomous navigation, safety monitoring, and infrastructure management. These technologies allow transportation networks to respond in real time to changing conditions, reduce congestion and emissions, improve road safety, and optimize resource utilization. AI also plays a central role in integrating vehicles, users, and infrastructure into cohesive smart mobility ecosystems. As transportation systems evolve toward automation, connectivity, and sustainability, AI emerges as a foundational enabler for resilient, efficient, and future-ready transportation networks worldwide.

The book offers a comprehensive and forward-looking examination of AI's expanding role in modern transportation. The book spans foundational principles and advanced innovations, beginning with intelligent transportation systems and progressing to specialized areas such as AI-driven driving analytics, smart traffic control, and augmented-reality-based safety navigation. It further explores emerging frontiers including autonomous vehicle intelligence, edge-AI frameworks, 6G-enabled mobility, quantum computing, generative AI for infrastructure design, and robust vehicle-to-vehicle communication systems. By integrating theory, applications, and future trends, the book presents a holistic vision of how AI can build safer, smarter, and more sustainable transportation ecosystems while supporting the broader evolution of smart cities.

This book is designed for researchers, engineers, industry professionals, urban planners, policymakers, and advanced students engaged in transportation, artificial intelligence, and smart city development. It serves as both a practical reference and a visionary guide for those seeking to understand, design, and deploy AI-enabled transportation solutions, while supporting informed decision-making and innovation in global mobility systems.

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Information

Publisher
CRC Press
Year
2026
Print ISBN
9781041071860
Edition
1
eBook ISBN
9781040678732

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Preface
  5. Acknowledgement
  6. Contents
  7. List of Contributors
  8. 1. Role of Artificial Intelligence in Transportation Systems
  9. 2. Intelligent Transportation Systems: A Comprehensive Review of Technologies, Applications, and Future Trends
  10. 3. Role of AI in Traffic Safety and Prevention of Accidents
  11. 4. Artificial Intelligence for Measuring Transportation Comfort: A Comprehensive Review
  12. 5. AI-powered Driving Analytics: Understanding Driver Behavior through Data
  13. 6. Smart Vision: Powering Vehicle Detection with Deep Learning
  14. 7. Quantum Computing and Communication for Intelligent Transportation System Networks: Exploring Qubit-based Innovations in Cryptography and Optimization Frontiers
  15. 8. Generative AI-based Framework for Road Infrastructure Design in Intelligent Transportation Systems
  16. 9. Neural Network–driven Driver Wellness Analytics: Predicting Mental Fatigue through Whole-Body Vibration Patterns and Psychosocial Health Monitoring
  17. 10. AR and AI for Driver Assistance and Navigation
  18. 11. The Invisible Highway: Integrating Artificial Intelligence with 6G Next-Generation Mobility
  19. 12. Development of Machine Intelligence for Self-driving Vehicles Through Video Capturing
  20. 13. Harnessing Edge AI for Real-Time Telematics: A Framework for Low-Latency Vehicle Data Analytics
  21. 14. Quantum Machine Learning for Next-Gen Wireless: Fundamentals and Path Ahead
  22. 15. AI Foundations for Reliable V2V Communication
  23. Index
  24. About the Editors

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Yes, you can access Artificial Intelligence for Transportation by Dhanashree Kulkarni,Anand Deshpande,Vania Vieira Estrela in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.