Developing Digital Twin Data Structure and Integrated Cloud Digital Twin Architecture for Roads

The systems that support construction and maintenance planning for delivering the road digital transformation lack the up-to-date road data and digital processes to leverage them. Digital twins recently disrupted the infrastructure sector and can now serve as a fundamental building block to help address this problem. Digital twin differs significantly from a static design-stage BIM model. It can span across the road’s life cycle for reflecting the physical twin’s properties, updating data continuously, and improving connectivity. However, no implementation of such digital twin solutions exists on the horizon for infrastructure. The important items that have not been defined yet are workable digital twin data structures and cloud architecture. This study aims to develop a proof-of-concept digital twin data structure and an integrated cloud architecture that are able to support road products and processes. The outcomes of this research are the proposed data structures and developed road digital twin integrated cloud architecture. As reliable references, these data structures benefit people by applying digital twin technologies to facilitate road construction and O&M processes and improve the decision-making processes.

• Record URL:
  • https://doi.org/10.1061/9780784485231.051
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784485231
• Supplemental Notes:
  • © 2024 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Chen, Weiwei
  • Brilakis, Ioannis
• Conference:
  • ASCE International Conference on Computing in Civil Engineering 2023
  • Location: Corvallis Oregon, United States
  • Date: 2023-6-25 to 2023-6-28
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 424-432
• Monograph Title: Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation

Subject/Index Terms

• TRT Terms: Construction and maintenance; Data models; Decision making; Road construction; Roads
• Subject Areas: Construction; Highways;

Filing Info

• Accession Number: 01909131
• Record Type: Publication
• ISBN: 9780784485231
• Files: TRIS, ASCE
• Created Date: Feb 21 2024 4:47PM