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Approach to development of driver's digital twin model of highly automated vehicle based on hybrid intelligent information system

Aladin D. V.  (Postgraduate student, Bauman Moscow State Technical University)

Goryachkin B. S.  (Candidate of Engineering Sciences, Associate Professor, Bauman Moscow State Technical University)

Varlamov O. O.  (Ph.D. of Engineering Sciences, Professor, Bauman Moscow State Technical University)

Afanasyev G. I.  (Candidate of Engineering Sciences, Associate Professor, Bauman Moscow State Technical University)

Timofeev V. B.  (Associate Professor, Bauman Moscow State Technical University)

The article proposes an approach to the development of a driver's digital twin model of a highly automated vehicle based on the superimposition of the processes of information perception and solving control problems in the subject area on the structure of a hybrid intelligent information system. In particular, the issue of presenting the driver's operational thinking in information models is considered. The proposed approach can be used in the development of a human operator's digital twins in industries undergoing the process of digital transformation.

Keywords:information model, digital twin, decision support system, hybrid intelligent information system, cyber-physical system, mivar approach, mivar nets.
 

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Citation link:
Aladin D. V., Goryachkin B. S., Varlamov O. O., Afanasyev G. I., Timofeev V. B. Approach to development of driver's digital twin model of highly automated vehicle based on hybrid intelligent information system // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№02. -С. 34-40 DOI 10.37882/2223-2966.2022.02.01
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