2026-09-19T02:03:15Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/361022022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
William D. Hall and John-Paul Clarke.
Vanderson, William W. (William Walter), 1977-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2007-02-21T11:23:43Z
2007-02-21T11:23:43Z
2000
2000
http://hdl.handle.net/1721.1/36102
48271734
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 88).
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.
by William W. Vanderson.
M.Eng.
88 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Improving aircraft departure time predictability
Thesis
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