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Runway Scheduling for Charlotte Douglas International AirportThis paper describes the runway scheduler that was used in the 2014 SARDA human-in-the-loop simulations for CLT. The algorithm considers multiple runways and computes optimal runway times for departures and arrivals. In this paper, we plan to run additional simulation on the standalone MRS algorithm and compare the performance of the algorithm against a FCFS heuristic where aircraft avail of runway slots based on a priority given by their positions in the FCFS sequence. Several traffic scenarios corresponding to current day traffic level and demand profile will be generated. We also plan to examine the effect of increase in traffic level (1.2x and 1.5x) and observe trends in algorithm performance.
Document ID
20180002160
Acquisition Source
Ames Research Center
Document Type
Conference Paper
External Source(s)
Authors
Malik, Waqar A.
(University Affiliated Research Center (Calif. Univ. Santa Cruz) Moffett Field, CA, United States)
Lee, Hanbong
(University Affiliated Research Center (Calif. Univ. Santa Cruz) Moffett Field, CA, United States)
Jung, Yoon C.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
April 4, 2018
Publication Date
June 13, 2016
Subject Category
Air Transportation And Safety
Report/Patent Number
AIAA Paper 2016-4073
ARC-E-DAA-TN28003
Report Number: AIAA Paper 2016-4073
Report Number: ARC-E-DAA-TN28003
Meeting Information
Meeting: AIAA Aviation Technology, Integration, and Operations Conference
Location: Washington, DC
Country: United States
Start Date: June 13, 2016
End Date: June 17, 2016
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NAS2-03144
WBS: WBS 330693.04.20.01.02
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
runway scheduling
safe and efficient surface operations
surface optimization
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