This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant. Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSs Offers 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 AI in the context of smart transportation Discusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areas It is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.
