Artificial Intelligence in Highway Safety

Subasish Das

• Publisher: CRC Press
• Year: 2022
• Print ISBN: 9780367436704
• eBook ISBN: 9781000726282
• Topic: Ciencia de la computación
• Subtopic: Ciencias computacionales general

Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend.

Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.

Table of contents

• Cover Page
• Title Page
• Copyright Page
• Dedication
• Preface
• Table of Contents
• List of abbreviations
• 1. Introduction
• 2. Highway Safety Basics
• 3. Artificial Intelligence Basics
• 4. Matrix Algebra and Probability
• 5. Supervised Learning
• 6. Unsupervised Learning
• 7. Deep Learning
• 8. Natural Language Processing
• 9. Explainable AI
• 10. Disruptive and Emerging Technologies in Highway Safety
• 11. Conclusions and Future Needs
• Appendix A: Case Study of Exploratory Data Analysis
• Appendix B: Steps of Big Data Analysis in Highway Safety
• Appendix C: ML Interpretability and Model Selection
• Appendix D: Develop an Interactive Map
• Appendix E: Develop an interactive Shiny App for Highway Safety Analysis with AI Models
• Appendix F: Develop an Interactive Shiny App with Application Programming Interface (API) based Queries
• Appendix G: Alternative to Crash Tree Tool
• Appendix H: Example of Quick Bibliographic Search
• Appendix I: Example of Self-Organizing Maps
• Appendix J: Example of Correspondence Analysis
• Appendix K: Example of Deep Explainer
• Appendix L: Road Safety Professional (RSP) Certification Needs
• Index