A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation

Liliana Marie Prikler; Franz Wotawa

doi:10.1109/DSA59317.2023.00058

A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation

Liliana Marie Prikler, Franz Wotawa

Institute of Software Engineering and Artificial Intelligence (7160)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

In recent years, digital twins have been proposed and implemented in various fields with potential applications ranging from prototyping to maintenance. Going forward, they are to enable numerous efficient and sustainable technologies, among them autonomous cars. However, despite a large body of research in many fields, academics have yet to agree on what exactly a digital twin is – and as a result, what its capabilities and limitations might be. To further our understanding, we explore the capabilities of digital twins concerning diagnosis in the field of transportation. We conduct a systematic mapping study including digital twins of vehicles and their components, as well as transportation infrastructure. We discovered that few papers on digital twins describe any diagnostic process. Furthermore, most existing approaches appear limited to system monitoring or fault detection. These findings suggest that we need more research for diagnostic reasoning utilizing digital twins.

Original language	English
Title of host publication	Proceedings - 2023 10th International Conference on Dependable Systems and Their Applications, DSA 2023
Publisher	IEEE Xplore
Pages	431-442
Number of pages	12
ISBN (Electronic)	979-8-3503-0477-0
DOIs	https://doi.org/10.1109/DSA59317.2023.00058
Publication status	Published - 2023
Event	10th International Conference on Dependable Systems and Their Applications: DSA 2023 - Tokyo, Japan Duration: 10 Aug 2023 → 11 Aug 2023 https://dsa23.techconf.org/

Conference

Conference	10th International Conference on Dependable Systems and Their Applications
Abbreviated title	DSA 2023
Country/Territory	Japan
City	Tokyo
Period	10/08/23 → 11/08/23
Internet address	https://dsa23.techconf.org/

Keywords

Digital twin
systematic mapping study
diagnosis

ASJC Scopus subject areas

Software
Artificial Intelligence
Information Systems
Safety, Risk, Reliability and Quality
Computer Networks and Communications
Computer Science Applications

Fields of Expertise

Information, Communication & Computing

Access to Document

10.1109/DSA59317.2023.00058

Cite this

Prikler, LM & Wotawa, F 2023, A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation. in Proceedings - 2023 10th International Conference on Dependable Systems and Their Applications, DSA 2023. IEEE Xplore, pp. 431-442, 10th International Conference on Dependable Systems and Their Applications, Tokyo, Japan, 10/08/23. https://doi.org/10.1109/DSA59317.2023.00058

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A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation

Abstract

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Access to Document

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