Data Analytics and Machine Learning for Integrated Corridor Management
eBook - ePub

Data Analytics and Machine Learning for Integrated Corridor Management

  1. 243 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes.

From the fundamental principles of traffic signal dynamics to the cutting-edge applications of machine learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems.

With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation.

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Yes, you can access Data Analytics and Machine Learning for Integrated Corridor Management by Yashawi Karnati,Dhruv Mahajan,Tania Banerjee,Rahul Sengupta,Packard Clay,Ryan Casburn,Nithin Agarwal,Jeremy Dilmore,Anand Rangarajan,Sanjay Ranka in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Authors
  10. Chapter 1 Introduction
  11. Chapter 2 Traffic Engineering and Operations Background
  12. Chapter 3 Integrated Corridor Management System
  13. Chapter 4 Traffic Data Modalities
  14. Chapter 5 Data Mining and Machine Learning
  15. Chapter 6 Traffic Simulation Frameworks for Data Generation
  16. Chapter 7 Intersection Detector Diagnostics
  17. Chapter 8 Intersection Performance
  18. Chapter 9 Interruption Detection
  19. Chapter 10 Estimating Turning Movement Counts
  20. Chapter 11 Coordinating Corridors
  21. Chapter 12 Modeling Input Output behavior of Intersection
  22. Chapter 13 Modeling measures of effectiveness for intersection performance
  23. Chapter 14 Signal Timing Optimization
  24. Chapter 15 Visualization of Traffic Data
  25. Appendix A Acknowledgements for Materials
  26. References
  27. Index