Exploring the value of digital twins for information management in highway asset maintenance
Highway agencies face challenges managing dispersed asset data across maintenance processes and information systems, hindering efficient retrieval of dynamic road information for timely interventions. A Digital Twin (DT)-based Information Management Framework (IMF) offers a promising solution based...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Developments in the Built Environment |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666165925000146 |
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| _version_ | 1832087389577674752 |
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| author | Mengtian Yin Varun Kumar Reja Ran Wei Ioannis Brilakis Brian Sheil Federico Perrotta Alix Marie d'Avigneau Linjun Lu |
| author_facet | Mengtian Yin Varun Kumar Reja Ran Wei Ioannis Brilakis Brian Sheil Federico Perrotta Alix Marie d'Avigneau Linjun Lu |
| author_sort | Mengtian Yin |
| collection | DOAJ |
| description | Highway agencies face challenges managing dispersed asset data across maintenance processes and information systems, hindering efficient retrieval of dynamic road information for timely interventions. A Digital Twin (DT)-based Information Management Framework (IMF) offers a promising solution based on a Foundation Data Model, Reference Data Libraries, and Integration Architecture. However, it is currently unclear how DT models of highway infrastructure systems based on a connected data ecosystem can be used in maintenance and how they benefit stakeholders. This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance. |
| format | Article |
| id | doaj-art-86ffb2424a5243d6942a01314d4a83f8 |
| institution | Kabale University |
| issn | 2666-1659 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developments in the Built Environment |
| spelling | doaj-art-86ffb2424a5243d6942a01314d4a83f82025-02-06T05:12:49ZengElsevierDevelopments in the Built Environment2666-16592025-03-0121100614Exploring the value of digital twins for information management in highway asset maintenanceMengtian Yin0Varun Kumar Reja1Ran Wei2Ioannis Brilakis3Brian Sheil4Federico Perrotta5Alix Marie d'Avigneau6Linjun Lu7Department of Engineering, University of Cambridge, UKDepartment of Engineering, University of Cambridge, UK; Corresponding author.Department of Engineering, University of Cambridge, UKDepartment of Engineering, University of Cambridge, UKDepartment of Engineering, University of Cambridge, UKAECOM Limited, UKDepartment of Engineering, University of Cambridge, UKDepartment of Engineering, University of Cambridge, UKHighway agencies face challenges managing dispersed asset data across maintenance processes and information systems, hindering efficient retrieval of dynamic road information for timely interventions. A Digital Twin (DT)-based Information Management Framework (IMF) offers a promising solution based on a Foundation Data Model, Reference Data Libraries, and Integration Architecture. However, it is currently unclear how DT models of highway infrastructure systems based on a connected data ecosystem can be used in maintenance and how they benefit stakeholders. This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance.http://www.sciencedirect.com/science/article/pii/S2666165925000146 |
| spellingShingle | Mengtian Yin Varun Kumar Reja Ran Wei Ioannis Brilakis Brian Sheil Federico Perrotta Alix Marie d'Avigneau Linjun Lu Exploring the value of digital twins for information management in highway asset maintenance Developments in the Built Environment |
| title | Exploring the value of digital twins for information management in highway asset maintenance |
| title_full | Exploring the value of digital twins for information management in highway asset maintenance |
| title_fullStr | Exploring the value of digital twins for information management in highway asset maintenance |
| title_full_unstemmed | Exploring the value of digital twins for information management in highway asset maintenance |
| title_short | Exploring the value of digital twins for information management in highway asset maintenance |
| title_sort | exploring the value of digital twins for information management in highway asset maintenance |
| url | http://www.sciencedirect.com/science/article/pii/S2666165925000146 |
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