Auto-Suggest Capability via Machine Learning in SMART NAS, Phase I

Metadata Updated: August 1, 2018

We build machine learning capabilities that enables the Shadow Mode Assessment using Realistic Technologies for the NAS (SMART NAS) system to synthesize, optimize, and "auto-suggest" optimized Traffic Management Initiatives (TMIs). Multi Level Multi View (MLMV) machine learning is used to identify similar historical situations (days, scenarios, or airport conditions) in the NAS. TMIs used in historically similar situations are locally modified to optimize the parameters of the TMI to be used in the current day situation. SMART NAS is used to evaluate TMIs and to present fast time simulations to the end user to review the TMI and associated performance metrics before implementation.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

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Dates

Metadata Created Date August 1, 2018
Metadata Updated Date August 1, 2018

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date August 1, 2018
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_34156
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
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 7f7908c4-96f5-4c02-a7b0-fe822620503a
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2015-12-01T08:00:00.000Z
Homepage URL https://techport.nasa.gov/view/34156
Language en-US
License http://www.usa.gov/publicdomain/label/1.0/
Data Last Modified 2017-09-16T00:00:00.000Z
Program Code 026:027
Publisher Hierarchy National Aeronautics and Space Administration > Space Technology Mission Directorate
Source Datajson Identifier True
Source Hash 0d1423942dd2b17d0382b64ad361539abd768c0b
Source Schema Version 1.1

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