Digital Twin Framework for Road Infrastructure Management
Digital twin (DT) technology has garnered increasing attention across various sectors, particularly in the construction and road infrastructure domains. To fully realize its potential and systematically apply it in practice, adherence to a formalized approach is necessary. However, numerous DT-relat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/10/5765 |
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| author | Munkhbaatar Buuveibaatar Sungpil Shin Wonhee Lee |
| author_facet | Munkhbaatar Buuveibaatar Sungpil Shin Wonhee Lee |
| author_sort | Munkhbaatar Buuveibaatar |
| collection | DOAJ |
| description | Digital twin (DT) technology has garnered increasing attention across various sectors, particularly in the construction and road infrastructure domains. To fully realize its potential and systematically apply it in practice, adherence to a formalized approach is necessary. However, numerous DT-related standards and models currently exist, creating uncertainty in the selection of appropriate frameworks. Moreover, no widely accepted standard or reference model has yet been developed in the field of road infrastructure management. Therefore, this study examined the current standards and models employed in the adoption and implementation of DTs in road infrastructure management, focusing on their dimensions (layers) and functional components. A bottom-up approach was adopted by comprehensively reviewing the existing literature on road networks, bridges, tunnels, and other civil infrastructures and urban DTs. Ultimately, a DT framework was developed, comprising five core layers with their respective components and functionalities, to facilitate network-level integrated road infrastructure management. Moreover, the proposed framework’s implementation scenario enhances its applicability in the field. Overall, this study provides valuable insights for researchers and practitioners involved in DT implementation in infrastructure management and supports future standardization efforts in this domain. |
| format | Article |
| id | doaj-art-29790dd23acb4cd19dff8cf80f7f03f4 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-29790dd23acb4cd19dff8cf80f7f03f42025-08-20T02:33:39ZengMDPI AGApplied Sciences2076-34172025-05-011510576510.3390/app15105765Digital Twin Framework for Road Infrastructure ManagementMunkhbaatar Buuveibaatar0Sungpil Shin1Wonhee Lee2Research Institute of Artificial Intelligent Diagnosis Technology for Multi-Scale Organic and Inorganic Structure, Kyungpook National University, Sangju 37224, Republic of KoreaIntegrated Road Management Research Center, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Location-Based Information System, Kyungpook National University, Sangju 37224, Republic of KoreaDigital twin (DT) technology has garnered increasing attention across various sectors, particularly in the construction and road infrastructure domains. To fully realize its potential and systematically apply it in practice, adherence to a formalized approach is necessary. However, numerous DT-related standards and models currently exist, creating uncertainty in the selection of appropriate frameworks. Moreover, no widely accepted standard or reference model has yet been developed in the field of road infrastructure management. Therefore, this study examined the current standards and models employed in the adoption and implementation of DTs in road infrastructure management, focusing on their dimensions (layers) and functional components. A bottom-up approach was adopted by comprehensively reviewing the existing literature on road networks, bridges, tunnels, and other civil infrastructures and urban DTs. Ultimately, a DT framework was developed, comprising five core layers with their respective components and functionalities, to facilitate network-level integrated road infrastructure management. Moreover, the proposed framework’s implementation scenario enhances its applicability in the field. Overall, this study provides valuable insights for researchers and practitioners involved in DT implementation in infrastructure management and supports future standardization efforts in this domain.https://www.mdpi.com/2076-3417/15/10/5765digital twinroad infrastructure digital twindigital twin frameworkdigital twin reference modeldigital twin standardizationintelligent road infrastructure management |
| spellingShingle | Munkhbaatar Buuveibaatar Sungpil Shin Wonhee Lee Digital Twin Framework for Road Infrastructure Management Applied Sciences digital twin road infrastructure digital twin digital twin framework digital twin reference model digital twin standardization intelligent road infrastructure management |
| title | Digital Twin Framework for Road Infrastructure Management |
| title_full | Digital Twin Framework for Road Infrastructure Management |
| title_fullStr | Digital Twin Framework for Road Infrastructure Management |
| title_full_unstemmed | Digital Twin Framework for Road Infrastructure Management |
| title_short | Digital Twin Framework for Road Infrastructure Management |
| title_sort | digital twin framework for road infrastructure management |
| topic | digital twin road infrastructure digital twin digital twin framework digital twin reference model digital twin standardization intelligent road infrastructure management |
| url | https://www.mdpi.com/2076-3417/15/10/5765 |
| work_keys_str_mv | AT munkhbaatarbuuveibaatar digitaltwinframeworkforroadinfrastructuremanagement AT sungpilshin digitaltwinframeworkforroadinfrastructuremanagement AT wonheelee digitaltwinframeworkforroadinfrastructuremanagement |