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Airport Movement Area Closure Planner, Phase I

Metadata Updated: November 12, 2020

This SBIR research develops an automation tool improving temporary and permanent runway closure management. The Movement Area Closure Planner (MACP) provides airport stakeholder capability to improve decision processes and decision outcomes during surface closure events by developing a what-if simulation functionality to explore multiple operational decision choices during surface closure events. MACP ensures realistic simulation of airport traffic operations by relying on a high-fidelity airport simulator which has been used in multiple high-fidelity airport operations analyses for FAA and airport operational improvement evaluation projects. The key innovation added to a high-fidelity simulator is a machine learning based predictive engine which realistically projects multiple probable future evolution trajectories for key factors influencing the airport operations under surface closure events (e.g., predicted gate pushback rates, predicted runway arrival and departure demands, predicted departure queue lengths, predicted de-ice pad queue lengths). Reliable what-if analysis is enabled by taking each of these probable evolution trajectories of key variables and kicking off multiple airport traffic simulations, each simulating airport traffic under one of these probable scenarios. Another variable input for the simulations is surface closure operational decision parameters, e.g., start and end times for runway closure. Multiple probable futures are simulated for each choice of surface closure operational decision parameter, thereby enabling us to predict not just one value for key airport performance metrics, but multiple probable values each associated with its probability of occurrence.

Access & Use Information

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 November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Maintainer
Identifier TECHPORT_93361
Data First Published 2017-12-01
Data Last Modified 2020-01-29
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
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id c14c6bc5-adcd-499e-b2b1-57222d6b1d1a
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://techport.nasa.gov/view/93361
Program Code 026:027
Source Datajson Identifier True
Source Hash 03abdf20b976336d92ce83e6c91d4f221f003a23
Source Schema Version 1.1

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