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Keywords: digital twins, asset data management, departments of transportation, building information modeling, geographic information system, ArcGIS GeoBIM.

Abstract

The concept of Digital Twins originated in aerospace engineering, however, after several researchers and practitioners realized the capabilities of the technology, the Digital Twins concept emerged in other industries including manufacturing, healthcare, and the architecture, engineering, and construction industry. While the technology has several capabilities and a wide range of applications, a critical condition for its successful implementation is the identification of its purpose. Digital Twins have the potential to leverage the value of data and transform data into useful information to inform decision making, while keeping the asset condition updated in a real-time manner, allowing for conducting preventive maintenance and future predictions. Since Digital Twins with its capabilities can act as a holistic information management strategy, state Departments of Transportation (DOTs) in the United States can adopt and implement this technology to manage and maintain transportation assets. This paper contributes to the body of knowledge by further emphasizing the value of implementing Digital Twins for transportation asset data management, an application necessary for building and maintaining sustainable and resilient infrastructure systems by focusing on the added value of integrating heterogeneous and multi-sourced data to better understand the project concepts. Furthermore, this paper presents the structural blueprint of an integrated Building Information Modeling (BIM) and Geographic Information System (GIS), in addition to semantic web technologies with the aid of the Internet of Things (IoT), and real-time data collected by sensors to develop and deploy an actual Digital Twin prototype for a transportation asset that state DOTs can adopt and implement. Such implementation of Digital Twins is envisioned to allow DOTs to harness the value of collected data, release data from the isolated silos, and seamlessly share them within different divisions to support reliable and high-quality decision-making.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 2 PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi Paper 9.1 A Blueprint for Creating Digital Twins for Transportation Assets: an Application for Highway Engineering A. Ammar¹, B. Bhatt², G. Dadi¹ and H. Nassereddine¹ ¹Department of Civil Engineering, University of Kentucky Lexington, United States ²Department of Computer Science, University of Kentucky Lexington, United States doi:10.4203/ccc.2.9.1 Full Bibliographic Reference for this paper A. Ammar, B. Bhatt, G. Dadi, H. Nassereddine, "A Blueprint for Creating Digital Twins for Transportation Assets: an Application for Highway Engineering", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 2, Paper 9.1, 2022, doi:10.4203/ccc.2.9.1 Keywords: digital twins, asset data management, departments of transportation, building information modeling, geographic information system, ArcGIS GeoBIM. Abstract The concept of Digital Twins originated in aerospace engineering, however, after several researchers and practitioners realized the capabilities of the technology, the Digital Twins concept emerged in other industries including manufacturing, healthcare, and the architecture, engineering, and construction industry. While the technology has several capabilities and a wide range of applications, a critical condition for its successful implementation is the identification of its purpose. Digital Twins have the potential to leverage the value of data and transform data into useful information to inform decision making, while keeping the asset condition updated in a real-time manner, allowing for conducting preventive maintenance and future predictions. Since Digital Twins with its capabilities can act as a holistic information management strategy, state Departments of Transportation (DOTs) in the United States can adopt and implement this technology to manage and maintain transportation assets. This paper contributes to the body of knowledge by further emphasizing the value of implementing Digital Twins for transportation asset data management, an application necessary for building and maintaining sustainable and resilient infrastructure systems by focusing on the added value of integrating heterogeneous and multi-sourced data to better understand the project concepts. Furthermore, this paper presents the structural blueprint of an integrated Building Information Modeling (BIM) and Geographic Information System (GIS), in addition to semantic web technologies with the aid of the Internet of Things (IoT), and real-time data collected by sensors to develop and deploy an actual Digital Twin prototype for a transportation asset that state DOTs can adopt and implement. Such implementation of Digital Twins is envisioned to allow DOTs to harness the value of collected data, release data from the isolated silos, and seamlessly share them within different divisions to support reliable and high-quality decision-making. download the full-text of this paper (PDF, 6 pages, 415 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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