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Safe, Efficient, and Fair UTM Airspace ManagementUnmanned Aircraft Systems (UAS) are increasingly used to perform crucial commercial activities such as various types of inspections (crops, railroads, and bridges), surveillance, and package delivery. Regulators have become interested in developing UAS Traffic Management (UTM) systems. One promising framework for UTM allocates airspace to UAS operators via an auction. To succeed, an airspace auction must be economically efficient, fair, scalable, incentive-aligned, simple, and capable of continuously modeling airspace and sharing bid status and pricing information. This paper introduces the first airspace auction mechanism that meets these criteria. In the process, we introduce new spatial-temporal fairness constraints and a new abstraction for communicating airspace pricing information, the airspace price field. We evaluate our mechanism on UAS delivery scenarios taken from a Japan Aerospace Exploration Agency(JAXA) study and show that it scales to 1000s of bids.
Document ID
20240007799
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Christopher J Leet
(Universities Space Research Association Columbia, United States)
Robert Morris
(Ames Research Center Mountain View, United States)
Priyank Pradeep
(Universities Space Research Association Columbia, United States)
Date Acquired
June 18, 2024
Subject Category
Mathematical and Computer Sciences (General)
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, Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Strategic deconfliction
airspace allocation
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