Machine Learning Airport Surface Model: Taxi-out Prediction
The ML-airport-taxi-out software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended…
NextGen Advanced Methods: ATCSCC Webinar Speech2Text and Analysis
The Advanced Methods project explores the use of innovative and emerging technologies to drive post operational analysis of Traffic Management for aircraft. Technologies such as m…
NextGen Data Analytics: Letters of Agreement
Today, operation constraints are documented via Standard Operating Procedures (SOP) and Letters of Agreement (LOA) and are not made available to the public in a consistent manner.…
Unsupervised anomaly detection in flight data with deep variational autoencoders
This model is an unsupervised deep learning based anomaly detection for aircraft flight data based on variational autoencoders with convolutional architecture. The model is design…
Autoresolver/Tailored Arrival Manager
The Autoresolver system is a tool for autonomous air traffic management. It is designed to perform many of the tasks that air-traffic controllers have historically performed inclu…
Predictive flood modeling
The model is intended to solve the overtopping and/or failure of at-risk road culverts (drains) due to projected future extreme weather induced flooding, by identifying potential…
NETS automated waterway design
Surveying for and creating engineering designs for relatively simple practices is time consuming and limits getting programs implemented for producers in a timely manner