Guanghui Zhao – författare

This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.

Advances in Artificial intelligence (AI) have redefined research and development in many areas, particularly in the direction of engineering research, application of machine learning, and the use of deep learning in many aspects of engineering research.This book looks at the impact of AI and how it has transformed transportation in the form of Smart Traffic Management Systems in a world of unmanned systems and autonomous machines. The book explores the problems faced in air, sea and land transport and traffic. It looks into Unmanned Aerial Vehicles (UAVs), autonomous and remotely-operated ships, intelligent port management systems, and modern urban railway systems.Redefining Traffic is a reference book for researchers, engineers, and technical personnel specializing in intelligent traffic, artificial intelligence, big data, and the Internet of Things (IoT). It can also be used as a study guide for advanced undergraduates interested in AI, vehicle engineering, automation, and computing.

This comprehensive book evaluates the development status, application scenarios, and future trends of China's transportation technology, with a focus on the progress and breakthroughs made in the development of China's transportation technology, the development trend of new technologies, and the impact on transportation.The unique reference text benefits practitioners, leaders and managers in the transportation industry, transportation researchers, transportation engineers, and transportation technicians.

This book offers the first in-depth exploration of digital twin technology applied to China's transportation sector, highlighting how it drives intelligent transportation, smart infrastructure, and the development of a national "transportation powerhouse." It explores the conceptual foundations of digital twins, their integration into transportation systems, and their role in enhancing operational efficiency, safety, and planning.Through case studies such as Guiyang's pilot system, the Sichuan-Tibet Railway's 3D platform, and selected international examples like Rolls-Royce's jet engine upgrades, the book provides evidence-based insights into improving operational efficiency, safety management, resource optimization, and infrastructure modernization. Its chapters address both the current state of deployment in China and emerging trends, including simulation-based decision-making, virtual–physical integration, and multi-dimensional transportation management. Endorsed by leading scholars Professor Xiaolin Xu (Former Dean of the School of Public Administration at Huazhong University of Science and Technology), and Professor Jun Ni (Professor at the University of Michigan and President of the School of Future Science and Technology at Shanghai Jiao Tong University), the book combines technical analysis with practical relevance. It serves as both a practical reference and a graduate-level textbook, and is suitable for courses in intelligent transportation systems, digital twin applications and smart city Infrastructure.