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Scheduling and Airport Taxiway Path Planning Under UncertaintyCongestion and uncertainty on the airport surface are major constraints to the available capacity of the air transport system. This project is to study the problem of planning and scheduling airport surface movement at large airports. Specifically, we focus on the departure time scheduling and taxiway path planning of multiple aircraft under uncertainty. We also developed a simulation tool that is capable of simulating aircraft movement along the taxiway and possible uncertainty during the movement.




Document ID
20190028238
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Li, Jiaoyang
(University of Southern California Los Angeles, CA, United States)
Zhang, Han
(University of Southern California Los Angeles, CA, United States)
Gong, Mimi
(Carnegie Mellon Univ. Pittsburgh, PA, United States)
Liang, Zi
(Carnegie Mellon Univ. Pittsburgh, PA, United States)
Liu, Weizi
(Carnegie Mellon Univ. Pittsburgh, PA, United States)
Tong, Zhongyi
(Carnegie Mellon Univ. Pittsburgh, PA, United States)
Yi, Liangchen
(Carnegie Mellon Univ. Pittsburgh, PA, United States)
Morris, Robert
(NASA Ames Research Center Moffett Field, CA, United States)
Pasareanu, Corina
(NASA Ames Research Center Moffett Field, CA, United States)
Koenig, Sven
(University of Southern California Los Angeles, CA, United States)
Date Acquired
July 29, 2019
Publication Date
June 17, 2019
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN68848
Meeting Information
Meeting: AIAA Aviation Forum
Location: Dallas, TX
Country: United States
Start Date: June 17, 2019
End Date: June 21, 2019
Sponsors: American Institute of Aeronautics and Astronautics (AIAA)
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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