Optimizing Integrated Airport Surface and Terminal Airspace Operations under Uncertainty

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.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Aeronautics and Astronautics

Year

2015

Author dc:creator

• Bosson, Christabelle Simone Juliette

Contributors dc:contributor

• Dengfeng Sun
• William A Crossley
• Inseok Hwang
• Jianghai Hu

• Airport Surface Operations
• Air Traffic Management
• Stochastic Optimization
• Terminal Airspace Operations

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1094

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2310