NASA NTRS · 20210021627
ATD-2 Digital Services / DIP
Abstract
The path to NAS-wide implementation for ATD-2 multi-airport IADS is as a digital service for flight operators that builds on and supplements FAA TBO investments. This session will focus on a suite of Machine Learning (ML) services the ATD-2 team developed to model airport surface operations. The approach used to leverage SWIM data sets will be described and a preliminary analysis of ML model accuracy will be presented. NASA’s plans to build on this work under the ATM-X Digital Information Platform (DIP) sub-project will be discussed.
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Mirna Johnson, Gilbert Wu, Raj Pai, William Jeremy Coupe. ATD-2 Digital Services / DIP. https://ntrs.nasa.gov/citations/20210021627
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