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Waffle Project Tracking Stories in Ready Air Traffic Analysis Project

University of Colorado and Northrop Grumman

Justin Olson, Michael Muehlbradt, Kristen Hanslik, Mitch Zinser, and Matt Oakley

Air Traffic Analysis is a full stack application, capable of ingesting and storing flight data, processing data and training neural networks, calculating efficient flight routes, displaying historic and calculated flights paths accurately on a map, and allowing interactive user input for requesting more flight paths. This project is extensible, documented, and open-source. Potential applications of this product include: research tool for displaying flight paths, analysis of current and potential flight path heuristics, or database integrated machine learning framework.

Requirements

Python2 Libraries

Python3 Libraries

Full installation, setup, and running instructions can be found in the provided White Paper

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