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dc.contributor.authorClemons, Emily
dc.contributor.authorReynolds, Tom G.
dc.contributor.authorBadrinath, Sandeep
dc.contributor.authorChati, Yashovardhan Sushil
dc.contributor.authorBalakrishnan, Hamsa
dc.date.accessioned2020-08-19T21:24:36Z
dc.date.available2020-08-19T21:24:36Z
dc.date.issued2018-06
dc.identifier.isbn9781624105562
dc.identifier.urihttps://hdl.handle.net/1721.1/126691
dc.description.abstractAircraft fuel burn modeling is useful for a range of systems analysis activities. Models such as the FAA’s Aviation Environmental Design Tool (AEDT) are widely used to support these activities. Previously, limited availability to thrust and movement data forced AEDT to make several simplifying assumptions, which adversely affect the accuracy of its current fuel burn estimates. This paper identifies first order airport surface fuel burn modeling enhancements in the areas of baseline taxi fuel flow modeling, taxi time estimation and pre-taxi fuel burn that may be suitable for inclusion in future versions of AEDT.en_US
dc.language.isoen
dc.publisherAmerican Institute of Aeronautics and Astronauticsen_US
dc.relation.isversionofhttp://dx.doi.org/10.2514/6.2018-3991en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleEnhancing Aircraft Fuel Burn Modeling on the Airport Surfaceen_US
dc.typeArticleen_US
dc.identifier.citationClemons, Emily et al. "Enhancing Aircraft Fuel Burn Modeling on the Airport Surface." 2018 Aviation Technology, Integration, and Operations Conference, June 2018, Atlanta, Georgia, American Institute of Aeronautics and Astronautics, June 2018. © 2018 MIT Lincoln Laboratoryen_US
dc.contributor.departmentLincoln Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.relation.journal2018 Aviation Technology, Integration, and Operations Conferenceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-10-23T18:17:23Z
dspace.date.submission2019-10-23T18:17:28Z
mit.metadata.statusComplete


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