Holistic digital twins for transportation infrastructure

Digital twin research has, to date, typically evolved from one of the many sub-domains that informs the topic, rather than as a consideration of the concept holistically [13]. In particular, efforts to delineate and optimize the information architecture of a twin are more limited, particularly when considering the particular case of transportation structures [14], [15]. As artificial intelligence begins to empower autonomous systems, identifying digital twin system architectures has become a critical need for the development of truly “smart” transportation systems. The objective of this research proposal is to identify best practices for the delineation of a digital twin information architecture, and then employ those practices in a prototype implementation, for the specific context of transportation structures. Achieving this will lead to advancements in the management and utility of information regarding transportation systems. The creation of a framework for the integration and management of heterogeneous information will allow for new methods of fusing that information together via AI [16], [17], while also supporting advanced human-infrastructure interactivity through technologies such as virtual and augmented reality. The emphasis will be on bridge structures, due to the PI’s familiarity with the domain, though the goal will be to create a generalizable framework applicable to a range of infrastructure systems.

Language

• English

Project

• Status: Active
• Funding: $107120
• Contract Numbers:

  69A3551847103

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)

  Pennsylvania State University
  University Park, PA  United States  16802
• Project Managers:

  Donnell, Eric

• Performing Organizations:

  George Mason University Transportation and Economic Development Center

  George Mason University
  102CFinley Building, MS-2C9
  Fairfax, VA  United States  22030-4444
• Principal Investigators:

  Lattanzi, David

• Start Date: 20220303
• Expected Completion Date: 20230921
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Artificial intelligence; Information management; Infrastructure; Integrated systems; System architecture
• Subject Areas: Bridges and other structures; Data and Information Technology; Transportation (General);

Filing Info

• Accession Number: 01844439
• Record Type: Research project
• Source Agency: Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
• Contract Numbers: 69A3551847103
• Files: UTC, RIP
• Created Date: Apr 28 2022 7:49PM