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Modeling Deicing Operations in Departure Scheduling Using Fast Time SimulationIn winter snow conditions, aircraft need inspection for deicing service before takeoff. Deicing service is a procedure to remove frost, ice, slush, or snow from aircraft for safe operation. Deicing operations vary by airport in many ways. Some airports have designated deicing zones, whereas some use a closed runway or terminal area to perform the procedure. Nonetheless, deicing operations add extra workloads to controllers, and cause increased taxi traffic on the ground. NASA and Korea Aerospace Research Institute (KARI) have been collaborating to model deicing operations at Incheon International Airport (ICN). This paper describes the deicing model and the study of deicing operations in departure scheduling using fast time simulations. The deicing model uses a heuristic algorithm for deicing zone assignment. In the fast time simulations, the model uses probability distributions derived from actual operation data to model deicing request and deicing zone time. It is envisioned that such a deicing model can be useful in airport surface scheduling to provide decision support and improve traffic management performance in winter snow operations.





Document ID
20190030807
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Zhu, Zhifan
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Hosagrahara, Vaishali A.
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Jung, Yoon
(NASA Ames Research Center Moffett Field, CA, United States)
Lee, Hanbong
(NASA Ames Research Center Moffett Field, CA, United States)
Eun, Yeonju
(Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Jeon, Daekeun
(Korea Aerospace Research Inst. Daejeon, Korea, Republic of)
Date Acquired
September 16, 2019
Publication Date
September 8, 2019
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN70865
Report Number: ARC-E-DAA-TN70865
Meeting Information
Meeting: Digital Avionics Systems Conference (DASC)
Location: San Diego, CA
Country: United States
Start Date: September 8, 2019
End Date: September 12, 2019
Sponsors: Institute of Electrical and Electronics Engineers (IEEE)
Funding Number(s)
CONTRACT_GRANT: NNA14AA60C
CONTRACT_GRANT: KS-0042-0
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
modeling and simulation
surface operation
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