Description
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
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
