Artificial Intelligence in Highway Safety
Artificial Intelligence in Highway Safety by Subasish Das, published by CRC Press, Taylor & Francis Group on October 4, 2024, spans 338 pages and is presented in English. This book explores the integration of artificial intelligence in enhancing highway safety, focusing on the predictive capabilities of AI techniques to address complex safety challenges. The author, a highway safety expert, provides a blend of theoretical insights and practical applications, making the content accessible to a broad audience interested in the intersection of highway safety and AI.
Readers will find that each chapter presents theoretical concepts alongside real-life examples, facilitating a clear understanding of the subject matter. The book covers various topics related to computers, machine theory, and systems analysis, among others, while emphasizing the role of AI in improving safety measures. Additionally, supplemental materials, including data sets and R codes, are available at the provided GitHub link, enhancing the learning experience for those engaged in this evolving field.
Official synopsis Publisher
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.
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