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Multi-Party Flight Trajectory Negotiation for Upper Class E Traffic ManagementA new operational concept has been proposed in Upper Class E airspace at or above 60,000 feet (Flight Level / FL600), which will allow operators of diverse vehicle characteristics to cooperatively manage and share their operational intents with neighboring operators to avoid conflict. There is a consensus in the community that negotiation for strategic deconfliction is needed, but there are no specific guidelines for how the negotiation should be conducted. There is a need for a structured and cooperative way to resolve the conflict between a wide variety of aircraft projected to be operating in Upper Class E for the negotiation to be carried out routinely. The use of negotiation models are a promising solution that can resolve conflict risks during flight in real-time while taking into account the uncertainty of future vehicle positions and dynamic business considerations. A two-party negotiation model has been researched, but as the traffic demand grows, there is a higher likelihood of conflict involving multiple aircraft that would require a method to handle multi-party conflict. This paper proposes a cooperative multi-party negotiation model inspired by game theory concepts for application to flight trajectory negotiation in Upper Class E traffic management. This model can be applied in flight with operators communicating directly after a potential conflict is detected. Some of the model’s benefits include allowing business costs to be private to operators, allowing operators to collaborate together to find conflict-free flight trajectories, and being compatible with different aircraft and operation types. This model provides a structured procedure for conflict resolution that can handle conflict involving multiple parties, assuming each operator is willing to take on a small cost to themselves in order to reduce the total cost to the group.
Document ID
20240008248
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Shayna Gaulden
(San Jose State University San Jose, United States)
Tien Nguyen
(San Jose State University San Jose, United States)
Michael Korens
(San Jose State University San Jose, United States)
Wenbin Wei
(San Jose State University San Jose, United States)
Min Xue
(Ames Research Center Mountain View, United States)
Paul U Lee
(Ames Research Center Mountain View, United States)
Joseph Silva
(ASRC Federal Data Solutions, LLC Mountain View, CA, USA)
Date Acquired
June 27, 2024
Subject Category
Air Transportation and Safety
Meeting Information
Meeting: 43rd AIAA/Digital Avionics Systems Conference (DASC)
Location: San Diego, CA
Country: US
Start Date: September 29, 2024
End Date: October 3, 2024
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 629660.04.91.01.20
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Upper Class E Traffic Management (ETM)
negotiation models
strategic conflict resolution
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