Digital Convergence in Intelligent Mobility Systems
eBook - PDF

Digital Convergence in Intelligent Mobility Systems

  1. 410 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Digital Convergence in Intelligent Mobility Systems

About this book

Digital Convergence in Intelligent Mobility Systems gives a comprehensive understanding of how digital technologies are revolutionizing transportation, equipping you with the insights needed to navigate the future of intelligent mobility systems.

The rapid evolution of digital technologies has transformed the landscape of intelligent mobility systems, ushering in a new era of innovation and convergence. The integration of digital technologies into various aspects of mobility systems, such as autonomous vehicles, smart transportation networks, and advanced traffic management systems, has the potential to revolutionize how we move people and goods.

Digital Convergence in Intelligent Mobility Systems is a comprehensive guide that explores the intersection of digital convergence and intelligent mobility systems. This book aims to provide an in-depth understanding of the state-of-the-art technologies, methodologies, and applications that are reshaping the future of transportation. It will serve as a valuable resource for researchers, engineers, policymakers, and students interested in the field of intelligent mobility.

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Yes, you can access Digital Convergence in Intelligent Mobility Systems by Rathishchandra R. Gatti,Chandra Singh in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Arduino-Based Battery-Operated Multi-Purpose Portable Seed-Sowing Machine
  8. Chapter 2 An Overview of Intelligent Mobility of Agricultural Drones
  9. Chapter 3 Simulation of Proportional-Integral and Derivative (PID) Based Traction and Speed Control System for a Four-Wheel Electric Vehicle Using MATLAB Simulink
  10. Chapter 4 A Case Study on Electric Vehicles (EV)
  11. Chapter 5 Accelerating Connections with 5G and Evolution of Vehicle Communication Technology
  12. Chapter 6 Predicting the Flow with Machine Learning Algorithms for Advanced Traffic Management
  13. Chapter 7 Secure Routes and Cybersecurity Challenges in Autonomous Mobility Systems
  14. Chapter 8 Green Routes Building the Backbone for Electric Vehicle Charging
  15. Chapter 9 Vehicular Power Line Communication
  16. Chapter 10 Future Trends in V2X Communication and Interoperability
  17. Chapter 11 Toward Smarter Streets: Leveraging Machine Learning, 5G, and V2X Communication for Traffic Insights
  18. Chapter 12 Empowering Healthcare through Mobility as a Service: A Comprehensive Review
  19. Chapter 13 An Enhanced Sustainable Mobility as a Service Based on 5G Network for Human-Centric Mobile Network in Smart City
  20. Chapter 14 Design and Development of Foldable Electric Vehicle
  21. Chapter 15 Design and Development of Ultrasonic Assisted Collision Detection and Blind-Spot Reduction
  22. Chapter 16 Voting Classifier-Based Machine Learning Technique for the Prediction of the Traffic Flow for the Intelligent Transportation System
  23. Chapter 17 Influence of Feature Selection Techniques for Social Media Data Analysis (Text and Image)
  24. About the Editors
  25. Index
  26. EULA