Survey on digital twins for Internet of Vehicles: Fundamentals, challenges, and opportunities

被引:24
|
作者
Guo, Jiajie [1 ]
Bilal, Muhammad [2 ]
Qiu, Yuying [1 ]
Qian, Cheng [3 ]
Xu, Xiaolong [1 ]
Choo, Kim-Kwang Raymond [4 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Peoples R China
[2] Hankuk Univ Foreign Studies, Dept Comp Engn, Yongin 17035, Gyeonggi Do, South Korea
[3] Jiangsu Hydraul Res Inst, Nanjing 210044, Peoples R China
[4] Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX 78249 USA
关键词
Internet of vehicles; Digital twin; Simulation; Traf fic systems; BIG DATA; DATA FUSION; MANAGEMENT; SECURITY; AI; TECHNOLOGIES; ARCHITECTURE; BLOCKCHAIN; PROTOCOL; FUTURE;
D O I
10.1016/j.dcan.2022.05.023
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
As autonomous vehicles and the other supporting infrastructures (e.g., smart cities and intelligent transportation systems) become more commonplace, the Internet of Vehicles (IoV) is getting increasingly prevalent. There have been attempts to utilize Digital Twins (DTs) to facilitate the design, evaluation, and deployment of IoV-based systems, for example by supporting high-fidelity modeling, real-time monitoring, and advanced predictive capabilities. However, the literature review undertaken in this paper suggests that integrating DTs into IoV-based system design and deployment remains an understudied topic. In addition, this paper explains how DTs can benefit IoV system designers and implementers, as well as describes several challenges and opportunities for future researchers.
引用
收藏
页码:237 / 247
页数:11
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