Improving aircraft departure time predictability
Name
48271734-MIT.pdf
Description
Full printable version
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14.94 MB
Format
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Author(s)
Vanderson, William W. (William Walter), 1977-
Advisor(s)
William D. Hall and John-Paul Clarke.
Date Issued
2000
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, a forecasting model is described that improves departure predictions over those of Collaborative Decision Making (CDM), reducing error by up to 30% for a given day. This model propagates delay from incoming flights to outgoing flights by using minimum turn times calculated from Airline Service Quality Performance (ASQP) data. The model was run on data covering every day of March, April, and May of 1999, and produced departure predictions 6 hours, 4 hours, 2 hours, and 1 hour in advance of departure time. The greatest improvement on CDM predictions was achieved in the 4-hour predictions.
Description
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 88).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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