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A survey of modeling languages for automotive digital twins

Pfeiffer, Jérôme 1; Fuchß, Dominik ORCID iD icon 2; Kühn, Thomas; Neumann, Dirk ORCID iD icon 2; Neimöck, Christer; Koziolek, Anne ORCID iD icon 2; Wortmann, Andreas 1
1 Universität Stuttgart (Uni Stuttgart)
2 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The demand for digital twins and suitable modeling techniques in the automotive industry is increasing rapidly. Yet, there is no common understanding of digital twins in automotive, nor are there modeling techniques established to create automotive digital twins. Recent studies on digital twins focus on the analysis of the literature on digital twins for automotive or in general and, thus, neglect the industrial perspective of automotive practitioners. To mitigate this gap between scientific literature and the industrial perspective, we conducted a questionnaire survey among experts in the German automotive industry to identify (i) the desired purposes for and capabilities of digital twins, (ii) the modeling techniques related to engineering and operating digital twins across the phases of automotive development, and (iii) the role informal models play during automotive development. To this end, we contacted 189 members of the Software-Defined Car research project and received 96 responses. The results show that digital twins are considered most useful in the usage and support phase of automotive development, representing vehicles as-operated. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000195881/pub
Veröffentlicht am 04.08.2026
Originalveröffentlichung
DOI: 10.1007/s10270-026-01410-9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1619-1366, 1619-1374
KITopen-ID: 1000195881
Erschienen in Software and Systems Modeling
Verlag Springer
Projektinformation SofDCar (BMWE, 19S21002K)
SFB 1608/1, 501798263 (DFG, DFG KOORD, SFB 1608)
Vorab online veröffentlicht am 03.08.2026
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