2026-09-20T14:50:36Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/284342022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
John-Paul Clarke.
Loy, Jason A. (Jason Andrew), 1980-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-09-26T20:25:29Z
2005-09-26T20:25:29Z
2004
2004
http://hdl.handle.net/1721.1/28434
56994996
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaf 51).
Airlines incur significant additional costs when bad weather at a hub-airport causes delays and cancellations throughout their entire network. One new recovery strategy called the virtual hub alleviates the effects of large delays at a hub-airport by setting up and diverting flight legs to nearby virtual-hub-airports. The effectiveness of the virtual hub strategy is tested through simulated days using the MIT Extensible Airport Network Simulator (MEANS). Increasingly complex heuristics are implemented to perform the virtual hub. Results indicate that the virtual hub recovery strategy can reduce the number of passengers going through the hub that get abandoned by 38.0%, the number going through the hub with significant delays by 30.4%, and the average flight leg delay of the airline can be reduced by 49.5%. The heuristics are able to produce effective solutions in a matter of a few minutes.
by Jason A. Loy.
M.Eng.
51 leaves
2307196 bytes
2311196 bytes
application/pdf
application/pdf
en_US
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Heuristics for airline schedule recovery via the virtual hub model
Thesis
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<Abstract>Airlines incur significant additional costs when bad weather at a hub-airport causes delays and cancellations throughout their entire network. One new recovery strategy called the virtual hub alleviates the effects of large delays at a hub-airport by setting up and diverting flight legs to nearby virtual-hub-airports. The effectiveness of the virtual hub strategy is tested through simulated days using the MIT Extensible Airport Network Simulator (MEANS). Increasingly complex heuristics are implemented to perform the virtual hub. Results indicate that the virtual hub recovery strategy can reduce the number of passengers going through the hub that get abandoned by 38.0%, the number going through the hub with significant delays by 30.4%, and the average flight leg delay of the airline can be reduced by 49.5%. The heuristics are able to produce effective solutions in a matter of a few minutes.</Abstract>
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