Extracting capacity metrics for General Aviation airports from ADS-B data

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dc.contributor.advisorLovell, David Jen_US
dc.contributor.authorMitkas, Danae Zoeen_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2021-07-15T05:30:58Z
dc.date.available2021-07-15T05:30:58Z
dc.date.issued2021en_US
dc.description.abstractGeneral Aviation airports play a pivotal role in the aviation system of the US, with over 5000 small airports existing and operating across the country. Serving almost exclusively small aircraft, these airports have a unique activity profile, compared to larger commercial airports. Like their larger cousins, they occasionally see the need to apply for federal funding for capacity enhancement projects, a process that requires rigorous documentation of the demand and capacity situation at the airport. Existing models for capacity estimation have been calibrated to reflect the much larger scale features that dominate large airports. The main challenge is to develop a method to provide precise data for small airports that operate mainly with small single or multi-engine aircraft. These airports are typically not towered and, hence, do not benefit from traditional automated data collection technologies. This research addresses the issues of a) collecting aircraft data at local airport environments from aircraft equipped with Automated Dependent Surveillance – Broadcast (ADS-B) technology, b) processing the data to determine and classify flights, and c) assessing elements of the operational performance of these aircraft. The thesis proposes a method to extract aircraft approach speeds and runway occupancy times, which are important contributors to capacity estimation. We applied and validated our method in three small airports.en_US
dc.identifierhttps://doi.org/10.13016/ayvx-lfqr
dc.identifier.urihttp://hdl.handle.net/1903/27505
dc.language.isoenen_US
dc.subject.pqcontrolledCivil engineeringen_US
dc.subject.pqcontrolledTransportationen_US
dc.subject.pquncontrolledADS-Ben_US
dc.subject.pquncontrolledAviationen_US
dc.subject.pquncontrolledCapacityen_US
dc.subject.pquncontrolledGeneral Aviation airportsen_US
dc.titleExtracting capacity metrics for General Aviation airports from ADS-B dataen_US
dc.typeThesisen_US

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