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Title |
Estimating One-Parameter Airport Arrival Capacity Distributions Using Stochastic Modeling
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Speaker
E-mail
From |
Tasha Inniss
innissT@trinitydc.edu
Trinity College
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Date
Time
Location |
Tuesday, May 22, 2001
10-11am (PST)
Bldg. 940, Auditorium (Sandia - CA)
Bldg. 980, Room 24 (Sandia - NM)
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Abstract |
During instances of capacity-demand imbalances, efficient
planning and decision-making in air traffic flow management is
contingent upon the "goodness" of the models that estimate
airport capacity over time. Airport capacities are subject to
substantial uncertainty as they depend on stochastic weather
conditions. In this talk, I will present statistical models
that we developed using a "seasonal clustering" technique to
estimate airport arrival capacity distributions, which are
required inputs into a class of stochastic ground holding
models that determine the optimal amount of ground delay to
assign to incoming flights. A method for adjusting the amount
of assigned ground delay in a dynamically changing Ground Delay
Program (GDP) will be presented. Based on an algorithm that we
developed to compare total weighted delay (after adjusting
appropriately), it will be demonstrated that the statistical
models yield less total weighted delay than do current
operational procedures.
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About the Speaker |
Tasha Inniss is an Assistant Professor in the Department of Mathematics
at Trinity College. She is an expert in stochastic modeling.
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Download |
Powerpoint format | PDF format
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Sandia Contact: |
Monica Martinez-Canales (8950), 925-294-3157
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This seminar series is hosted by the CSMR Department at Sandia National Labs in Livermore, CA.
For more information on upcoming events in The CSMR Department, visit
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