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Optimization of Airport Surface Traffic: A Case-Study of Incheon International AirportThis study aims to develop a controllers decision support tool for departure and surface management of ICN. Airport surface traffic optimization for Incheon International Airport (ICN) in South Korea was studied based on the operational characteristics of ICN and airspace of Korea. For surface traffic optimization, a multiple runway scheduling problem and a taxi scheduling problem were formulated into two Mixed Integer Linear Programming (MILP) optimization models. The Miles-In-Trail (MIT) separation constraint at the departure fix shared by the departure flights from multiple runways and the runway crossing constraints due to the taxi route configuration specific to ICN were incorporated into the runway scheduling and taxiway scheduling problems, respectively. Since the MILP-based optimization model for the multiple runway scheduling problem may be computationally intensive, computation times and delay costs of different solving methods were compared for a practical implementation. This research was a collaboration between Korea Aerospace Research Institute (KARI) and National Aeronautics and Space Administration (NASA).
Document ID
20170011176
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Eun, Yeonju (Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Jeon, Daekeun (Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Lee, Hanbong (Universities Space Research Association Moffett Field, CA, United States)
Jung, Yoon C. (NASA Ames Research Center Moffett Field, CA, United States)
Zhu, Zhifan (SGT, Inc. Moffett Field, CA, United States)
Jeong, Myeongsook (Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Kim, Hyounkong (Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Oh, Eunmi (Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Hong, Sungkwon (Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Date Acquired
November 21, 2017
Publication Date
June 5, 2017
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN42612
Meeting Information
Meeting: AIAA Aviation Conference 2017
Location: Denver, CO
Country: United States
Start Date: June 5, 2017
End Date: June 9, 2017
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNA14AA60C
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
taxi scheduler
surface management
optimization
runway scheduler

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