Untangling airports using open source tools on Microsoft Azure

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Microsoft Research
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Published on ● Video Link: https://www.youtube.com/watch?v=M53NlmCdRRs


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Scientists from the University of Stirling and University of Nottingham in the United Kingdom tackled the knotty problem of delays on airport taxiways, where planes are entering or leaving runways. Sandy Brownlee, PhD, and Jason Atkin, PhD, collaborated with Manchester Airport to use Azure for Research to model the complex data from many airports worldwide. The team created open-source tools available on Github so others can create models. They are using models to analyze data for Manchester Airport for the Airport Optimization project. The project will help reduce delays, save money, and reduce environmental impacts.

To learn more about the Microsoft Azure for Research program, visit http://www.azure4research.com



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Tags:
Microsoft Research
Azure for Research
travel
airports
Open source
Manchester Airport
airport delays