Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review

Authors

  • Xingkai Chai College of Engineering, Ocean University of China, Qingdao, China
  • Jiaqiang Yan College of Engineering, Ocean University of China, Qingdao, China
  • Wei Zhang College of Engineering, Ocean University of China, Qingdao, China
  • Maciej Sulowicz Faculty of Electrical and Computer Engineering, Cracow University of Technology, Cracow, Poland
  • Yichi Feng Faculty of Mechanical Engineering, Opole University of Technology, Opole, Poland

DOI:

https://doi.org/10.5755/j02.eie.36209

Keywords:

Digital twins, Intelligent connected vehicle, Intelligent transportation system, Data analytics

Abstract

As an important enabling technology in the era of Industry 4.0, the intelligent connected vehicle (ICV) facilitates robust data interaction with the outside through sensors and communication technologies, ultimately making scientific decisions based on environmental perception information. However, due to constraints such as limited communication bandwidth and computing resources, the influx of data simultaneously impedes the sustainable optimisation of the vehicle decision making process at the same time. As a novel technology that effectively connects physical and virtual space, the special ability of the digital twin (DT) is to identify characteristics within a certain lifecycle, thereby garnering widespread attention across various industries. The purpose of this paper is to review the contribution of digital twins in the application field of intelligent vehicles and explore its potential for development. First, the key technologies of ICV provide a basis for the embedding of digital twins. Then, by analysing the development process and technical composition of digital twins, readers can better understand the concept of digital twins. Finally, the application of DTs in ICV is reviewed from the perspective of vehicles, traffic facilities, and occupants. Future challenges and opportunities in this direction are described at the same time.

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Published

2024-04-26

How to Cite

Chai, X., Yan, J., Zhang, W., Sulowicz, M., & Feng, Y. (2024). Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review. Elektronika Ir Elektrotechnika, 30(2), 4-17. https://doi.org/10.5755/j02.eie.36209

Issue

Section

AUTOMATION, ROBOTICS