Digital Twin Technology for Intelligent Vehicles and Transportation Systems: A Survey on Applications, Challenges and Future Directions

作者：Xiaohui Gu, Wei Duan, Guoan Zhang, Jia Hou, Limei Peng, Miaowen Wen, Feifei Gao, Min Chen, Pin‐Han Ho · 发表于：IEEE Communications Surveys & Tutorials · 年份：2025 · DOI：10.1109/comst.2025.3581152 · 被引用次数：18 · 研究领域：Digital Transformation in Industry、IoT and Edge/Fog Computing、Modular Robots and Swarm Intelligence

This survey provides a comprehensive analysis of digital twin (DT) technology as a transformative tool for advancing connected and autonomous vehicles (CAVs) and intelligent transportation systems (ITSs), focusing on advancements in vehicle safety, traffic management, and autonomous driving capabilities. The paper begins by discussing the foundational concepts and enabling technologies behind DT systems, setting the stage for their application in transportation networks. We review DT applications in vehicle safety, highlighting their role in real-time monitoring, predictive maintenance, and risk mitigation. Next, we explore the role of DT technology in optimizing traffic flow, enhancing traffic management, and enabling adaptive responses to dynamic conditions. The paper then examines the integration of DTs in intelligent and autonomous vehicles, emphasizing advancements in simulation, testing, and the development of autonomous driving functionalities. Finally, we outline future research opportunities and challenges for DT applications, providing a roadmap for their continued evolution in CAVs and ITS.