Data-driven Approaches in Civil Engineering Predictions

This book delves into the transformative world of data-driven approaches in civil engineering showcasing how leveraging big data predictive analytics and machine learning can revolutionize the field. It covers a range of topics from infrastructure monitoring construction optimization and environmental assessments to urban planning elucidating how these technologies foster smarter sustainable and more efficient engineering practices. Through real-world success stories the book highlights the significant benefits of these approaches such as enhanced decision-making improved resource allocation and advanced predictive maintenance while also addressing the challenges like scalability and adaptability. It serves as a comprehensive guide for civil engineers urban planners and professionals in related fields aiming to equip them with the knowledge and tools to implement data-driven strategies in their projects and contribute to the future of civil engineering.