Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems

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Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems

Intelligent and automated transport system technology Machine learning

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Collection: Intelligent Data-Driven Systems and Artificial Intelligence

Language: English

Published by: CRC Press

Published on: 12th March 2026

Format: LCP-protected ePub

ISBN: 9781040764398


Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation

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.

Key Features

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

Intended Audience

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

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