{"id":{"repo_id":"purdue-thes","oai_identifier":"oai:docs.lib.purdue.edu:open_access_dissertations-2310"},"canonical_url":"https://search.dev.ndltd.org/etd/purdue-thes/oai:docs.lib.purdue.edu:open_access_dissertations-2310","repository":{"repo_id":"purdue-thes","name":"Purdue University","base_url":"https://docs.lib.purdue.edu/do/oai/"},"display":{"title":"Optimizing Integrated Airport Surface and Terminal Airspace Operations under Uncertainty","abstract":"In airports and surrounding terminal airspaces, the integration of surface, arrival and departure scheduling and routing have the potential to improve the operations efficiency. Moreover, because both the airport surface and the terminal airspace are often altered by random perturbations, the consideration of uncertainty in flight schedules is crucial to improve the design of robust flight schedules. Previous research mainly focused on independently solving arrival scheduling problems, departure scheduling problems and surface management scheduling problems and most of the developed models are deterministic.","abstract_html":"In airports and surrounding terminal airspaces, the integration of surface, arrival and departure scheduling and routing have the potential to improve the operations efficiency. Moreover, because both the airport surface and the terminal airspace are often altered by random perturbations, the consideration of uncertainty in flight schedules is crucial to improve the design of robust flight schedules. 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Moreover, because both the airport surface and the terminal airspace are often altered by random perturbations, the consideration of uncertainty in flight schedules is crucial to improve the design of robust flight schedules. Previous research mainly focused on independently solving arrival scheduling problems, departure scheduling problems and surface management scheduling problems and most of the developed models are deterministic."]},{"key":"dc:title","label":"Title","values":["Optimizing Integrated Airport Surface and Terminal Airspace Operations under Uncertainty"]}]}],"canonical_facts":{"dc:contributor":["Dengfeng Sun","William A Crossley","Inseok Hwang","Jianghai Hu"],"dc:creator":["Bosson, Christabelle Simone Juliette"],"dc:description.abstract":["In airports and surrounding terminal airspaces, the integration of surface, arrival and departure scheduling and routing have the potential to improve the operations efficiency. Moreover, because both the airport surface and the terminal airspace are often altered by random perturbations, the consideration of uncertainty in flight schedules is crucial to improve the design of robust flight schedules. Previous research mainly focused on independently solving arrival scheduling problems, departure scheduling problems and surface management scheduling problems and most of the developed models are deterministic."],"dc:identifier":["https://docs.lib.purdue.edu/open_access_dissertations/1094"],"dc:subject":["Airport Surface Operations","Air Traffic Management","Stochastic Optimization","Terminal Airspace Operations"],"dc:title":["Optimizing Integrated Airport Surface and Terminal Airspace Operations under Uncertainty"],"thesis:degree_discipline":["Aeronautics and Astronautics"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T03:54:17Z"}