A Computational Model of Jetliner Taxiing

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dc.contributor.advisorByrne, Michael D.
dc.creatorZemla, Jeffrey C.
dc.date.accessioned2013-03-08T00:40:19Z
dc.date.available2013-03-08T00:40:19Z
dc.date.issued2012
dc.description.abstractThe Next Generation Air Transportation System (NextGen) is transforming the way planes move on the ground as well as in the sky. Some of the proposed changes, such as automated scheduling algorithms to generate taxi clearances and speed-based taxi clearances, require thorough testing to ensure safety and reliability. Cognitive modeling is able to uniquely address these issues in a compromise between costly human-in-the-loop simulations and deterministic computer simulations. In this thesis, I present an ACT-R cognitive model to emulate pilot taxiing behavior in a dynamic environment, in order to predict human behavior in novel situations imposed by NextGen constraints. The model is validated by comparing taxi routes generated by the model to routes driven by real pilots while on the job.
dc.format.extent82 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS PSYCH. 2012 ZEMLA
dc.identifier.citationZemla, Jeffrey C.. "A Computational Model of Jetliner Taxiing." (2012) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/70512">https://hdl.handle.net/1911/70512</a>.
dc.identifier.digitalZemlaJen_US
dc.identifier.urihttps://hdl.handle.net/1911/70512
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectApplied sciences
dc.subjectPsychology
dc.subjectCognitive psychology
dc.subjectComputer science
dc.titleA Computational Model of Jetliner Taxiing
dc.typeThesis
dc.type.materialText
thesis.degree.departmentPsychology
thesis.degree.disciplineSocial Sciences
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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