Modeling and control of the departure process of congested airports
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1999.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2005
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Online Access: | http://hdl.handle.net/1721.1/9363 |
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author | Pujet, Nicolas |
author2 | Eric Feron. |
author_facet | Eric Feron. Pujet, Nicolas |
author_sort | Pujet, Nicolas |
collection | MIT |
description | Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1999. |
first_indexed | 2024-09-23T09:50:32Z |
format | Thesis |
id | mit-1721.1/9363 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T09:50:32Z |
publishDate | 2005 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/93632019-04-12T07:36:07Z Modeling and control of the departure process of congested airports Pujet, Nicolas Eric Feron. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1999. Includes bibliographical references (p. 118-121). A simple queueing model of departure operations at congested airports is proposed. This model is calibrated and validated in the case of Boston Logan airport, using runway configuration and traffic data from the Airline Service Quality Performance (ASQP) dataset. The model is then used to evaluate preliminary departure control schemes aimed at alleviating congestion on the airport surface. The potential impact of these control schemes on direct operating costs, environmental costs and overall delay is quantified and discussed. This thesis also demonstrates that the ASQP dataset does not record enough traffic to precisely identify arrival-departure interaction effects, which results in large uncertainties in the departure model. Since more complete datasets could become available in the near future, the thesis shows how such datasets could be used to reduce the departure model uncertainties. by Nicolas Pujet. Ph.D. 2005-08-22T20:37:02Z 2005-08-22T20:37:02Z 1999 1999 Thesis http://hdl.handle.net/1721.1/9363 44598482 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 121 p. 7003308 bytes 7003070 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
spellingShingle | Aeronautics and Astronautics. Pujet, Nicolas Modeling and control of the departure process of congested airports |
title | Modeling and control of the departure process of congested airports |
title_full | Modeling and control of the departure process of congested airports |
title_fullStr | Modeling and control of the departure process of congested airports |
title_full_unstemmed | Modeling and control of the departure process of congested airports |
title_short | Modeling and control of the departure process of congested airports |
title_sort | modeling and control of the departure process of congested airports |
topic | Aeronautics and Astronautics. |
url | http://hdl.handle.net/1721.1/9363 |
work_keys_str_mv | AT pujetnicolas modelingandcontrolofthedepartureprocessofcongestedairports |