A Framework for Autonomous Trajectory-Based Operations, Phase I

Metadata Updated: July 17, 2020

The innovation proposed is a framework for autonomous Traffic Flow Management (TFM) under Trajectory Based Operations (TBO) for Unmanned Aerial Systems (UAS). The concept, called DRIFT-UAS (Distributed Resilient Framework for Trajectory Management of Unmanned Aerial Systems), is a cloud-based system that consists of algorithms and an information-sharing framework that would enable autonomous trajectory planning and strategic deconflicting of trajectories of manned and unmanned aircraft, while optimizing system-wide objectives such as safety, efficiency, and equity.

DRIFT-UAS envisions four information signals that are exchanged in a cloud-based environment. The signals are (a) trajectory intent from an aircraft to DRIFT-UAS, (b) trajectory feedback (e.g., level of congestion on the proposed route as well as nearby routes in time and space) from DRIFT-UAS to the aircraft (c) loading projections from DRIFT-UAS to NAS ATC resources, and (d) capacity signals derived from weather forecasts, dynamic airspace restrictions, or acceptable loading levels at various NAS resources. The signals are processed by a centralized MDM (Master De-conflicting Module) to generate a trajectory feedback signal, and ATGMs (Autonomous Trajectory Generation Modules) autonomously generate trajectories for aircraft based on the feedback signal.

DRIFT-UAS is based on a new class of algorithms for solving large-scale TFM problems by separating TFM optimization into two problems---a master problem, equivalent to the MDM that checks for capacity violations and allocates resources to competing aircraft, and a sub-problem, equivalent to the ATGM solved by each individual aircraft that generates 4-d trajectories for each flight. The master problem exchanges dual prices that signal congestion across ATC resources to guide the sub-problems to an optimal solution.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020

Metadata Source

Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_33914
Maintainer
TECHPORT SUPPORT
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
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Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2015-12-01
Homepage URL https://techport.nasa.gov/view/33914
Data Last Modified 2020-01-29
Program Code 026:027
Source Datajson Identifier True
Source Hash 8c6b4f06c55bc634bb1f5c2ac8863692e6e2b491
Source Schema Version 1.1

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