Digital Twin Technologies for Vehicular Prototyping: A Survey

Digital Twin (DT) technology is widely regarded as one of the most promising tools for industry development, demonstrating substantial application across numerous cyber-physical systems. Gradually, this technology has been introduced into modern vehicular systems focusing on its application in intelligent driving, connected vehicles, automotive engineering, aircraft health, and many more. By creating dynamic, virtual replicas of physical vehicles and their associated components, DT enables unprecedented levels of analysis, simulation, and real-time monitoring, thereby enhancing performance, safety, and sustainability. This paper offers a comprehensive review, extending beyond digital twins to include various prototyping approaches for target-specific applications focusing on the smart vehicular systems across automotive, aviation, and maritime domains driving the evolution of next-generation vehicular infrastructure.

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Publication Details

Journal
IEEE Open Journal of Intelligent Transportation Systems
Published
2025-01-01
DOI
https://doi.org/10.1109/ojits.2025.3562504
Citations
6
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
7.45
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article

Digital Twin Technologies for Vehicular Prototyping: A Survey

Bhagawat Baanav Yedla Ravi, Md Rafiul Kabir, Sandip Ray
6 citations
IEEE Open Journal of Intelligent Transportation Systems
Digital Transformation in Industry
7.45
article

Digital Twin Technologies for Vehicular Prototyping: A Survey

Bhagawat Baanav Yedla Ravi, Md Rafiul Kabir, Sandip Ray
article en
6 citations

Abstract

Digital Twin (DT) technology is widely regarded as one of the most promising tools for industry development, demonstrating substantial application across numerous cyber-physical systems. Gradually, this technology has been introduced into modern vehicular systems focusing on its application in intelligent driving, connected vehicles, automotive engineering, aircraft health, and many more. By creating dynamic, virtual replicas of physical vehicles and their associated components, DT enables unprecedented levels of analysis, simulation, and real-time monitoring, thereby enhancing performance, safety, and sustainability. This paper offers a comprehensive review, extending beyond digital twins to include various prototyping approaches for target-specific applications focusing on the smart vehicular systems across automotive, aviation, and maritime domains driving the evolution of next-generation vehicular infrastructure.

IEEE Open Journal of Intelligent Transportation SystemsVol. 6
Central Michigan University (US), University of Florida (US)
Openalex Percentile: Top 3%
Digital Transformation in Industry
7.45
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Digital Twin Technologies for Vehicular Prototyping: A Survey — Bhagawat Baanav Yedla Ravi, Md Rafiul Kabir, et al. · IEEE Open Journal of Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS