Big data-driven prediction of airspace congestion
Big data-driven prediction of airspace congestion
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Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
Air Navigation Service Providers (ANSP) worldwide have been making a considerable effort for the development of a better method to measure and predict aircraft counts within a particular airspace, also referred to as airspace density. An accurate measurement and prediction of airspace density is crucial for a better managed airspace, both strategic...
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Big data-driven prediction of airspace congestion
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TN_cdi_proquest_journals_2878320644
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2878320644
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E-ISSN
2331-8422
