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Automated Scenario Generation for Human-in-the-Loop SimulationsAutomated Multi-Aircraft Control System scenario generation for Human-in-the-Loop evaluations of air traffic management concepts is described. Methods for analyzing and comparing the seed-scenario generated using the automated process and the Human-in-the-Loop-scenario designed to meet the experiment objectives are discussed. The main findings are: (1) many of the characteristics of the seed-scenario used for constructing the Human-in-the-Loop-scenario are preserved in the Human-in-the-Loop Scenario, (2) landing characteristics of the traffic generated by the Multi-Aircraft Control System using the input scenario compare reasonably well with that intended in the input scenario, and (3) many of desired characteristics of the Human-in-the-Loop-scenario can be achieved by further automation.
Document ID
20180005212
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Chatterji, Gano
(Crown Consulting, Inc. Washington, DC, United States)
Zheng, Yun
(Crown Consulting, Inc. Washington, DC, United States)
Palopo, Kee
(NASA Ames Research Center Moffett Field, CA, United States)
Nguyen, Jimmy
(Optimal Synthesis, Inc. Los Altos, CA, United States)
Date Acquired
September 12, 2018
Publication Date
June 25, 2018
Subject Category
Aircraft Communications And Navigation
Report/Patent Number
ARC-E-DAA-TN58340
Meeting Information
Meeting: AIAA Aviation Forum (Aviation 2018)
Location: Atlanta, GA
Country: United States
Start Date: June 25, 2018
End Date: June 29, 2018
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
SMART-NAS Testbed
Automated Scenario Generation
Human-in-the-Loop Testing
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