Guidebook for Digital Twin Programs at Airports
The objective of this research is to provide a guidebook for airports to understand the concept of digital twins and the potential stakeholder benefits, and develop a roadmap for implementation of a digital twin program. The guidebook and roadmap should be scalable to airports of all sizes and accompanied by an executive summary for airport leadership. The guidebook should address and/or include, at a minimum: (1) A glossary of terms; (2) An introduction and definition of digital twins; (3) The range of requirements (security, legal, data systems, functionality, personnel, budget, training, etc.) for implementation of digital twins; (4) An overview of current data visualization techniques, platforms, and technologies; (5) Explore partnerships for both funding and data sourcing; (6) General use cases for digital twins focusing on different airports functions (i.e., landside, terminal, airside, and cargo operations); (7) At least four (4) specific airport case studies incorporating airports of various sizes, technological maturity, etc.; and (8) At least one (1) case study from outside the aviation industry. The roadmap should make sure to address the following elements at a minimum: (1) Identifying and developing a digital twin use case template; (2) Identifying and collecting necessary data, both real-time and historical; (3) Incorporating predicative analytics tools; (4) Reporting and using the outcomes to make decisions; (5) Program governance including data and platform ownership; and (6) Program maintenance and upgrades.
Language
- English
Project
- Status: Active
- Funding: $350000
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Contract Numbers:
Project 03-66
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Sponsor Organizations:
Airport Cooperative Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC 20001Federal Aviation Administration
800 Independence Avenue, SW
Washington, DC United States 20591 -
Project Managers:
Griffin, Matthew
- Performing Organizations: Washington, DC United States
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Principal Investigators:
Jones, William
- Start Date: 20220810
- Expected Completion Date: 20240209
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Airport operations; Airport planning; Airports; Decision support systems; Digital simulation; Handbooks; Machine learning; Plan implementation; Virtual reality
- Subject Areas: Aviation; Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Terminals and Facilities;
Filing Info
- Accession Number: 01779210
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 03-66
- Files: TRB, RIP
- Created Date: Aug 18 2021 9:28AM