An Analysis of the Relationship Between Traffic Management Initiatives

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dc.contributor.advisorLovell, David Jen_US
dc.contributor.authorChuang, Caraen_US
dc.contributor.departmentSystems Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2017-06-22T06:31:44Z
dc.date.available2017-06-22T06:31:44Z
dc.date.issued2017en_US
dc.description.abstractThis thesis provides an overview of Traffic Management Initiatives (TMI) trends over the years 2009 through 2016, and serves to highlight similarities and differences between four restriction types: Miles-in-Trail (MIT) restrictions, Ground Delay Programs (GDP), Airspace Flow Programs (AFP), and Ground Stops (GS). Yearly and regional patterns are investigated to find temporal and geographic tendencies, which are then compared across restriction types. We use various metrics of severity, which help explore TMI implementation methodology. This research confirms that the causal factors of TMIs are tied closely to their purposes and their locations within the National Airspace System (NAS). Finally, we suggest a method for matching restrictions based on common facilities and overlapping implementation time in order to determine the frequency of concurrent TMIs. The statistics presented in this thesis are meant to supply a “big picture” summary of restrictions implemented in the National Airspace using data recorded in the National Traffic Management Log (NTML).en_US
dc.identifierhttps://doi.org/10.13016/M25006
dc.identifier.urihttp://hdl.handle.net/1903/19514
dc.language.isoenen_US
dc.subject.pqcontrolledTransportationen_US
dc.subject.pqcontrolledCivil engineeringen_US
dc.subject.pquncontrolledHistorical trendsen_US
dc.subject.pquncontrolledMiles-in-Trailen_US
dc.subject.pquncontrolledNational Traffic Management Logen_US
dc.subject.pquncontrolledSummary statisticsen_US
dc.subject.pquncontrolledTraffic Management Initiativesen_US
dc.titleAn Analysis of the Relationship Between Traffic Management Initiativesen_US
dc.typeThesisen_US

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