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Understanding and Minimizing Flight Delay

Steele, Patrick Robert
Abstract
We model the problem of finding minimum-delay routes through the U.S. flight network as a shortest paths problem with stochastic costs. Our approach utilizes statistical modeling, Monte Carlo simulation, and network optimization techniques. Our models and simulations are based on data obtained from the U.S. Department of Transportation. Our sampling techniques allow us to model the time dependence of arc costs.
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Thesis is part of Honors ETD pilot project, 2008-2013. Migrated from Dspace in 2016.
Date
2010-05-13
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Undergraduate Honors Theses
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https://scholarworks.wm.edu/cgi/viewcontent.cgi?article=1711&context=honorstheses&unstamped=1
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SteelePatrick2010.pdf
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Optimization--Systems theory
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Advisor
Phillips, David
Dey, Tanujit
Kincaid, Rex K.
Leemis, Lawrence M.
Jr., Moody, Carlisle,
Department
Mathematics
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https://scholarworks.wm.edu/handle/internal/12439
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