Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation
eBook - ePub

Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation

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

Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation

About this book

Exploration of how cutting-edge digital technologies can power humanity's collective efforts towards urban transport environmental sustainability

Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation delves into the nexus between urbanization, transportation, and climate change, providing a comprehensive analysis of how traditional transportation systems contribute to greenhouse gas emissions and air pollution, thereby undermining our collective efforts towards environmental sustainability. Through lucid explanations and real-world examples, the book explores how cutting-edge digital technologies, including Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain, can revolutionize urban transportation. Readers will gain insights into the role of AI-powered platforms and management software solutions that optimize energy usage, enhance efficiency, and promote sustainable mobility.

With contributions for a variety of experts in the fields of transportation, environmental science, and artificial intelligence, this book delivers perspectives on topics including:

  • Intelligent traffic management and the impact of computer vision in smart transportation
  • Connected lighting and AI-empowered battery management systems
  • Edge computing and edge AI for real-time insights
  • Route optimization and navigation, smart parking solutions, and fleet and fuel optimization
  • Implementation of smart microgrids and renewable energy sources such as solar and wind

Whether you are a policymaker, urban planner, transportation professional, or simply a concerned citizen, Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation serves as a vital resource for understanding the challenges and opportunities in transitioning towards a more sustainable future in the field of urban transportation.

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Information

Year
2026
Print ISBN
9781394351060
Edition
1
eBook ISBN
9781394351077

Table of contents

  1. Cover
  2. Table of Contents
  3. IEEE Press
  4. Title Page
  5. Copyright
  6. List of Contributors
  7. About the Editors
  8. Chapter 1: Recent Trends in Intelligent Transportation Systems
  9. Chapter 2: Artificial Intelligence and IoT Applications Transforming the Automotive Industry
  10. Chapter 3: Artificial Intelligence in Transportation Using Automated Grading, Adaptive Learning, and Predictive Maintenance to Increase Efficiency
  11. Chapter 4: Autonomous Vehicles and Smart Mobility
  12. Chapter 5: Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation
  13. Chapter 6: Smart Mobility: Integrating AI for Sustainable Urban Transportation Solutions
  14. Chapter 7: Reinforcement Learning for Energy-efficient Urban Freight Transportation
  15. Chapter 8: Advancements and Challenges in Autonomous Vehicles and Smart Mobility: The Role of AI in Transforming Transportation
  16. Chapter 9: Enhancing Urban Traffic Management with Multi-scale Hierarchical GANs
  17. Chapter 10: IoT and AI Integration in Traffic Management
  18. Chapter 11: Intelligent Urbanism: AI and Big Data-driven Approaches to Planning, Design, and Transportation
  19. Chapter 12: AI-driven Public Transport Solutions
  20. Chapter 13: AI-driven Data Analytics for Smart Urban Transport: Innovations, Challenges, and Future Trends
  21. Chapter 14: Transforming Smart Mobility: L4S and NaaS APIs for Real-time Traffic Management and Autonomous Transport
  22. Chapter 15: AI-driven Public Transportation: Enhancing Efficiency, Sustainability, and User Experience
  23. Chapter 16: Cognitive AI for Adaptive and Resilient Urban Transportation: A Data-driven Approach to Sustainable Mobility
  24. Chapter 17: Optimizing Urban Traffic with Graph Analytics: A Case Study of a Metropolitan Transportation Network
  25. Chapter 18: Urban Mobility Reimagined: AMRUT Interventions and the 2041 Outlook
  26. Chapter 19: GIS-based Analysis of Road Accidents: A Case Study on Hotspot Identification and Safety Improvement
  27. Index
  28. End User License Agreement

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Yes, you can access Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation by Sathyan Munirathinam,Pethuru Raj Chelliah,Peter Augustine,Beaulah Soundarabai 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.