Improving aircraft departure time predictability
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2007
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/36102 |
| _version_ | 1811080250912669696 |
|---|---|
| author | Vanderson, William W. (William Walter), 1977- |
| author2 | William D. Hall and John-Paul Clarke. |
| author_facet | William D. Hall and John-Paul Clarke. Vanderson, William W. (William Walter), 1977- |
| author_sort | Vanderson, William W. (William Walter), 1977- |
| collection | MIT |
| description | Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000. |
| first_indexed | 2024-09-23T11:28:14Z |
| format | Thesis |
| id | mit-1721.1/36102 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:28:14Z |
| publishDate | 2007 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/361022019-04-11T08:46:20Z Improving aircraft departure time predictability Vanderson, William W. (William Walter), 1977- William D. Hall and John-Paul Clarke. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2007-02-21T11:23:43Z 2007-02-21T11:23:43Z 2000 2000 Thesis http://hdl.handle.net/1721.1/36102 48271734 eng 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 88 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Vanderson, William W. (William Walter), 1977- Improving aircraft departure time predictability |
| title | Improving aircraft departure time predictability |
| title_full | Improving aircraft departure time predictability |
| title_fullStr | Improving aircraft departure time predictability |
| title_full_unstemmed | Improving aircraft departure time predictability |
| title_short | Improving aircraft departure time predictability |
| title_sort | improving aircraft departure time predictability |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/36102 |
| work_keys_str_mv | AT vandersonwilliamwwilliamwalter1977 improvingaircraftdeparturetimepredictability |