AN ANALYSIS OF EN ROUTE AIR TRAFFIC MANAGEMENT INITIATIVES
dc.contributor.advisor | Lovell, David J | en_US |
dc.contributor.author | Sanz, Santiago Javier | en_US |
dc.contributor.department | Systems Engineering | en_US |
dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
dc.date.accessioned | 2019-02-01T06:39:10Z | |
dc.date.available | 2019-02-01T06:39:10Z | |
dc.date.issued | 2018 | en_US |
dc.description.abstract | Ensuring the safety and efficiency of flights is a large mission the FAA is tasked with. Since the early 2000’s the FAA has been working on implementing their next generation air transportation system that aims at modernizing the way flights are managed. Some of the changes brought on by the implementation of next gen include additions and modifications to the time management initiatives (TMIs) that the FAA uses for managing flights. For that reason, the FAA is interested in how these TMIs compare with each other. This document focuses on comparing different TMIs by conducting statistical analysis on the available data and examining the results. | en_US |
dc.identifier | https://doi.org/10.13016/7xkp-zgzl | |
dc.identifier.uri | http://hdl.handle.net/1903/21641 | |
dc.language.iso | en | en_US |
dc.subject.pqcontrolled | Transportation | en_US |
dc.subject.pquncontrolled | Air Traffic Control | en_US |
dc.subject.pquncontrolled | Data Visualization | en_US |
dc.subject.pquncontrolled | Traffic Management Initiatives | en_US |
dc.title | AN ANALYSIS OF EN ROUTE AIR TRAFFIC MANAGEMENT INITIATIVES | en_US |
dc.type | Thesis | en_US |
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