Artificial Intelligence for Future Intelligent Transportation 1st Edition

Capture the future of mobility with Artificial Intelligence for Future Intelligent Transportation, 1st Edition — a definitive guide for engineers, planners, policymakers, and technologists shaping tomorrow’s transport networks. This lucid, practical volume delivers cutting-edge insights into how AI, machine learning, and data-driven methods transform traffic management, public transit, autonomous vehicles, and smart-city mobility across metropolitan regions worldwide.

Explore clear, real-world applications and emerging research that bridge theory and practice. Chapters walk you through predictive traffic modeling, adaptive signal control, route optimization, computer-vision for road safety, and multimodal integration—each explained with actionable frameworks suitable for urban centers in Europe, North America, Asia-Pacific, and beyond. The book emphasizes scalable solutions that meet regional regulatory needs and operational constraints, making it a valuable resource for transport authorities, consultants, and academic researchers.

Imagine faster commute times, safer streets, and more efficient transit systems: this book shows how AI-driven strategies can make that vision tangible. With concise explanations, illustrative case studies, and practical recommendations, readers gain the confidence to evaluate technologies, design pilot projects, and implement intelligent transport systems that improve mobility equity and environmental outcomes.

Whether you’re upgrading a city’s traffic infrastructure, developing autonomous fleet strategies, or researching smart mobility policy, Artificial Intelligence for Future Intelligent Transportation equips you with the knowledge to lead innovation. Add this essential 1st Edition to your professional library and start transforming transportation challenges into intelligent, sustainable solutions today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.