Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0
With the movement of the construction industry towards Construction 5.0, Digital Twin (DT) has emerged in recent years as a pivotal and comprehensive management tool for predictive strategies for infrastructure assets. However, its effective adoption and conceptual implementation remain limited in t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Infrastructures |
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| Online Access: | https://www.mdpi.com/2412-3811/10/3/64 |
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| author | Mohammad Oditallah Morshed Alam Palaneeswaran Ekambaram Sagheer Ranjha |
| author_facet | Mohammad Oditallah Morshed Alam Palaneeswaran Ekambaram Sagheer Ranjha |
| author_sort | Mohammad Oditallah |
| collection | DOAJ |
| description | With the movement of the construction industry towards Construction 5.0, Digital Twin (DT) has emerged in recent years as a pivotal and comprehensive management tool for predictive strategies for infrastructure assets. However, its effective adoption and conceptual implementation remain limited in this domain. Current review works focused on applications and potentials of DT in general infrastructures. This review focuses on interpreting DT’s conceptual foundation in the flexible pavement asset context, including core components, considerations, and methodologies. Existing pavement DT implementations are evaluated to uncover their strengths, limitations, and potential for improvement. Based on a systematic review, this study proposes a comprehensive cognitive DT framework for pavement management. It explores the extent of enhanced decision-making and a large-scale collaborative DT environment. This study also identifies current and emerging challenges and enablers, as well as highlights future research directions to advance DT implementation and support its alignment with the transformative goals of Construction 5.0. |
| format | Article |
| id | doaj-art-a3bab2b474db415e9346b5e0d90098ba |
| institution | OA Journals |
| issn | 2412-3811 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj-art-a3bab2b474db415e9346b5e0d90098ba2025-08-20T01:48:46ZengMDPI AGInfrastructures2412-38112025-03-011036410.3390/infrastructures10030064Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0Mohammad Oditallah0Morshed Alam1Palaneeswaran Ekambaram2Sagheer Ranjha3Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, AustraliaDepartment of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, AustraliaDepartment of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, AustraliaDepartment of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, AustraliaWith the movement of the construction industry towards Construction 5.0, Digital Twin (DT) has emerged in recent years as a pivotal and comprehensive management tool for predictive strategies for infrastructure assets. However, its effective adoption and conceptual implementation remain limited in this domain. Current review works focused on applications and potentials of DT in general infrastructures. This review focuses on interpreting DT’s conceptual foundation in the flexible pavement asset context, including core components, considerations, and methodologies. Existing pavement DT implementations are evaluated to uncover their strengths, limitations, and potential for improvement. Based on a systematic review, this study proposes a comprehensive cognitive DT framework for pavement management. It explores the extent of enhanced decision-making and a large-scale collaborative DT environment. This study also identifies current and emerging challenges and enablers, as well as highlights future research directions to advance DT implementation and support its alignment with the transformative goals of Construction 5.0.https://www.mdpi.com/2412-3811/10/3/64Digital Twinspavement managementPMSroad pavement maintenanceConstruction 5.0asset management |
| spellingShingle | Mohammad Oditallah Morshed Alam Palaneeswaran Ekambaram Sagheer Ranjha Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0 Infrastructures Digital Twins pavement management PMS road pavement maintenance Construction 5.0 asset management |
| title | Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0 |
| title_full | Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0 |
| title_fullStr | Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0 |
| title_full_unstemmed | Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0 |
| title_short | Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0 |
| title_sort | review and insights toward cognitive digital twins in pavement assets for construction 5 0 |
| topic | Digital Twins pavement management PMS road pavement maintenance Construction 5.0 asset management |
| url | https://www.mdpi.com/2412-3811/10/3/64 |
| work_keys_str_mv | AT mohammadoditallah reviewandinsightstowardcognitivedigitaltwinsinpavementassetsforconstruction50 AT morshedalam reviewandinsightstowardcognitivedigitaltwinsinpavementassetsforconstruction50 AT palaneeswaranekambaram reviewandinsightstowardcognitivedigitaltwinsinpavementassetsforconstruction50 AT sagheerranjha reviewandinsightstowardcognitivedigitaltwinsinpavementassetsforconstruction50 |