Artificial Intelligence for Future Intelligent Transportation
  1. 318 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements.

The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts.

Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

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Yes, you can access Artificial Intelligence for Future Intelligent Transportation by Rajesh Kumar Dhanaraj, Nilayam Kumar Kamila, Subhendu Kumar Pani, Balamurugan Balusamy, Vani Rajasekar, Rajesh Kumar Dhanaraj,Nilayam Kumar Kamila,Subhendu Kumar Pani,Balamurugan Balusamy,Vani Rajasekar in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Contents
  7. Contributors
  8. Abbreviations
  9. Preface
  10. 1. Introduction to Artificial Intelligence in Smart Transportation
  11. 2. AI Approaches in Intelligent Transportation Systems
  12. 3. Smart Air Pollution Monitoring and Prediction System Using Deep Learning Enabled IoT Technology
  13. 4. Various AI Models to Mitigate Transport Pollution
  14. 5. Neural Network Approaches for Transportation
  15. 6. Statistical AI Model in an Intelligent Transportation System
  16. 7. Reinforcement Learning in Smart Transportation
  17. 8. Role of AI and IoT in Intelligent Transportation
  18. 9. Potential Applications of AI in Transportation
  19. 10. AI Techniques for Future Smart Transportation
  20. 11. AI-Based Green Transportation: A Sustainable Approach
  21. Index