Related papers: A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation

A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation

URL: http://arxiv.org/abs/2402.01686v1
Date: Mon, 22 Jan 2024 15:01:37 GMT
Title: A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation
Authors: Liliana Marie Prikler, Franz Wotawa (Graz University of Technology, Institute for Software Technology)
Abstract summary: We explore the capabilities of digital twins concerning diagnosis in the field of transportation. Few papers on digital twins describe any diagnostic process. Most existing approaches appear limited to system monitoring or fault detection.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
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.

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