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Infrastructure-based digital twins for cooperative, connected, automated driving and smart road services

Thonhofer, Elvira and Sigl, Simon and Fischer, Martin and Heuer, Fin Malte and Kuhn, Andreas and Erhart, Jacqueline and Harrer, Manfred and Schildorfer, Wolfgang (2023) Infrastructure-based digital twins for cooperative, connected, automated driving and smart road services. IEEE Open Journal of Intelligent Transportation Systems, 4, pp. 311-324. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/OJITS.2023.3266800. ISSN 2687-7813.

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Official URL: https://ieeexplore.ieee.org/document/10102410

Abstract

Driving requires continuous decision making from a driver taking into account all available relevant information. Automating driving tasks also automates the related decisions. However, humans are very good at dealing with bad quality, fuzzy, informal and incomplete information, whereas machines generally require solid quality information in a formalized format. Therefore, the development of automated driving functions relies on the availability of machine-usable information. A digital twin contains quality controlled information collected and augmented from different sources, ready to be supplied to such an automated driving function. An information model that describes all conceivably relevant information is necessary. To this end, a list of requirements that such an information model should meet is proposed and each requirement is argued for. Based on the anticipated services and applications that such a system should support, a collection of requirements for system architecture is derived. Information modeling is performed for selected relevant information groups. A system architecture has been proposed and validated with three different implementations, addressing several different applications to support decisions at a highway tunnel construction site in Austria and throughout the Test Bed Lower Saxony in Germany.

Item URL in elib:https://elib.dlr.de/195083/
Document Type:Article
Title:Infrastructure-based digital twins for cooperative, connected, automated driving and smart road services
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Thonhofer, ElviraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sigl, SimonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fischer, MartinUNSPECIFIEDhttps://orcid.org/0000-0001-8435-4321UNSPECIFIED
Heuer, Fin MalteUNSPECIFIEDhttps://orcid.org/0000-0002-3709-0025UNSPECIFIED
Kuhn, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Erhart, JacquelineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Harrer, ManfredUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schildorfer, WolfgangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:13 April 2023
Journal or Publication Title:IEEE Open Journal of Intelligent Transportation Systems
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:4
DOI:10.1109/OJITS.2023.3266800
Page Range:pp. 311-324
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2687-7813
Status:Published
Keywords:automated driving, cooperative connected automated mobility, decision support system, digital twin, information modelling, test bed
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Verification and Validation, BS
Deposited By: Heuer, Fin Malte
Deposited On:26 May 2023 15:07
Last Modified:21 Jun 2023 12:13

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