CIAM-COR-R44
Research Team
David Lattanzi, George Mason University
Funding Sources
George Mason Core Funds — $53,560
George Mason Match – $53,560
Total Project Cost — $107,120
Agency ID or Contract Number
69A3551847103
Start and End Dates
03/22/2022 — 09/21/2023
Project Description
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.