Description

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.