2026-09-19T12:13:34Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/178342022-01-13T07:54:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
John-Paul Clarke.
Zou, Feng, 1977-
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
2005-06-02T18:51:30Z
2005-06-02T18:51:30Z
2004
2004
http://hdl.handle.net/1721.1/17834
56570130
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
Includes bibliographical references (p. 89-90).
Aircraft noise is a major obstacle to the growth of aviation. This thesis presents an adaptive onboard real-time optimization algorithm and an Air Traffic Control simulation model that can minimize the aircraft approach noise and meet air traffic control targets and restrictions. The adaptive real-time optimization algorithm uses dynamic programming, nonlinear optimization, and receding horizon control to generate approach procedures. The resulting noise abatement trajectories compensate for environmental uncertainties, provide more flexibility to air traffic controllers and pilots, and improve airport efficiency while lowering community noise. The Air Traffic Control simulation model simulates a fleet approach with noise abatement approaches. Three different status displays are tested and compared in the simulation, and the optimal displays for controller are explored in the thesis.
by Feng Zou.
S.M.
110 p.
4665111 bytes
4676285 bytes
application/pdf
application/pdf
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
Aeronautics and Astronautics.
Real-time trajectory optimization and air traffic control simulation for noise abatement approach procedures
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="c2465765-4a21-4fd8-8e99-ee4315e1ddab">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Real-time trajectory optimization and air traffic control simulation for noise abatement approach procedures</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2004</PublicationDate>
<Authors>
<Author>
<DisplayName>Zou, Feng, 1977-</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Aeronautics and Astronautics.</Keyword>
<Abstract>Aircraft noise is a major obstacle to the growth of aviation. This thesis presents an adaptive onboard real-time optimization algorithm and an Air Traffic Control simulation model that can minimize the aircraft approach noise and meet air traffic control targets and restrictions. The adaptive real-time optimization algorithm uses dynamic programming, nonlinear optimization, and receding horizon control to generate approach procedures. The resulting noise abatement trajectories compensate for environmental uncertainties, provide more flexibility to air traffic controllers and pilots, and improve airport efficiency while lowering community noise. The Air Traffic Control simulation model simulates a fleet approach with noise abatement approaches. Three different status displays are tested and compared in the simulation, and the optimal displays for controller are explored in the thesis.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>