{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/28434"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/28434","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Heuristics for airline schedule recovery via the virtual hub model","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_html":"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_has_math":false,"creators":["Loy, Jason A. (Jason Andrew), 1980-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["John-Paul Clarke."],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004","date_published":"2004","updated_at":"2026-07-22T22:21:12Z","subjects":["Electrical Engineering and Computer Science."],"languages":["en_US"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/28434","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["John-Paul Clarke."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:creator","label":"Author","values":["Loy, Jason A. 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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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Heuristics for airline schedule recovery via the virtual hub model"]}]}],"canonical_facts":{"dc:contributor.advisor":["John-Paul Clarke."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:creator":["Loy, Jason A. (Jason Andrew), 1980-"],"dc:date.accessioned":["2005-09-26T20:25:29Z"],"dc:date.available":["2005-09-26T20:25:29Z"],"dc:date.issued":["2004"],"dc:description":["Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.","Includes bibliographical references (leaf 51)."],"dc:description.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."],"dc:description.degree":["M.Eng."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/28434"],"dc:language.iso":["en_US"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["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."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Heuristics for airline schedule recovery via the virtual hub model"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:21:12Z"}