Intelligent Data-Driven Systems and Artificial Intelligence

The aim of the book is to explore and highlight the latest techniques and applications of Artificial Intelligence (AI) and fuzzy logic in the development of Intelligent Transportation Systems (ITS). It seeks to offer a detailed examination of how these technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. The book employs several novel approaches and special design features. It includes case studies and real-world examples to illustrate the practical applications of the discussed technologies. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is designed to be self-contained, providing both a theoretical background and practical insights, making it accessible to a broad audience. Additionally, the book features contributions from leading experts in the field, ensuring that the content is both current and relevant.

This book:

• Presents advanced methodologies in artificial intelligence and fuzzy logic, specifically designed to enhance intelligent transportation systems.
• Offer a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation.
• Bridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problems
• Includes theoretical foundations, algorithmic developments, and practical case studies specifically related to artificial intelligence in the context of smart transportation.
• Discusses topics such as predictive weather impact on traffic management, enhancing road safety with artificial intelligence and fuzzy logic, and smart parking systems in urban areas.

It is primarily written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.