Optimizing flights of a fleet of aircraft using a reinforcement learning model

A method of optimizing flights of a fleet of aircraft is provided. The method includes accessing flight plans for flights of a fleet of aircraft through an air transportation network, and applying the flight plans to a reinforcement learning model configured to determine maneuvers for each aircraft...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Margineantu, Dragos D, Vining, Kirk A, Sipe, Alvin L
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Margineantu, Dragos D
Vining, Kirk A
Sipe, Alvin L
description A method of optimizing flights of a fleet of aircraft is provided. The method includes accessing flight plans for flights of a fleet of aircraft through an air transportation network, and applying the flight plans to a reinforcement learning model configured to determine maneuvers for each aircraft on a respective flight that achieves a respective maximum cumulative value of an operational efficiency metric across the flights of the fleet of aircraft, one or more of the maneuvers constituting a deviation from a respective flight plan. A comparison of respective maximum cumulative values of the operational efficiency metric is performed for the aircraft of the fleet of aircraft, one of the aircraft is selected based on the comparison, and a notification of the deviation from the respective flight plan is sent to the one of the aircraft.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US12094349B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US12094349B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US12094349B23</originalsourceid><addsrcrecordid>eNrjZPDzLyjJzM2sysxLV0jLyUzPKClWyE9TSARyUlNLwMzMouSixLQShdJikKJEhaLUzLy0_KLk1NzUvBKFnNTEojyQRG5-SmoODwNrWmJOcSovlOZmUHRzDXH20E0tyI9PLS5ITE7NSy2JDw02NDKwNDE2sXQyMiZGDQAMlTak</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Optimizing flights of a fleet of aircraft using a reinforcement learning model</title><source>esp@cenet</source><creator>Margineantu, Dragos D ; Vining, Kirk A ; Sipe, Alvin L</creator><creatorcontrib>Margineantu, Dragos D ; Vining, Kirk A ; Sipe, Alvin L</creatorcontrib><description>A method of optimizing flights of a fleet of aircraft is provided. The method includes accessing flight plans for flights of a fleet of aircraft through an air transportation network, and applying the flight plans to a reinforcement learning model configured to determine maneuvers for each aircraft on a respective flight that achieves a respective maximum cumulative value of an operational efficiency metric across the flights of the fleet of aircraft, one or more of the maneuvers constituting a deviation from a respective flight plan. A comparison of respective maximum cumulative values of the operational efficiency metric is performed for the aircraft of the fleet of aircraft, one of the aircraft is selected based on the comparison, and a notification of the deviation from the respective flight plan is sent to the one of the aircraft.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS ; SIGNALLING ; TRAFFIC CONTROL SYSTEMS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240917&amp;DB=EPODOC&amp;CC=US&amp;NR=12094349B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240917&amp;DB=EPODOC&amp;CC=US&amp;NR=12094349B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Margineantu, Dragos D</creatorcontrib><creatorcontrib>Vining, Kirk A</creatorcontrib><creatorcontrib>Sipe, Alvin L</creatorcontrib><title>Optimizing flights of a fleet of aircraft using a reinforcement learning model</title><description>A method of optimizing flights of a fleet of aircraft is provided. The method includes accessing flight plans for flights of a fleet of aircraft through an air transportation network, and applying the flight plans to a reinforcement learning model configured to determine maneuvers for each aircraft on a respective flight that achieves a respective maximum cumulative value of an operational efficiency metric across the flights of the fleet of aircraft, one or more of the maneuvers constituting a deviation from a respective flight plan. A comparison of respective maximum cumulative values of the operational efficiency metric is performed for the aircraft of the fleet of aircraft, one of the aircraft is selected based on the comparison, and a notification of the deviation from the respective flight plan is sent to the one of the aircraft.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><subject>SIGNALLING</subject><subject>TRAFFIC CONTROL SYSTEMS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDzLyjJzM2sysxLV0jLyUzPKClWyE9TSARyUlNLwMzMouSixLQShdJikKJEhaLUzLy0_KLk1NzUvBKFnNTEojyQRG5-SmoODwNrWmJOcSovlOZmUHRzDXH20E0tyI9PLS5ITE7NSy2JDw02NDKwNDE2sXQyMiZGDQAMlTak</recordid><startdate>20240917</startdate><enddate>20240917</enddate><creator>Margineantu, Dragos D</creator><creator>Vining, Kirk A</creator><creator>Sipe, Alvin L</creator><scope>EVB</scope></search><sort><creationdate>20240917</creationdate><title>Optimizing flights of a fleet of aircraft using a reinforcement learning model</title><author>Margineantu, Dragos D ; Vining, Kirk A ; Sipe, Alvin L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US12094349B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><topic>SIGNALLING</topic><topic>TRAFFIC CONTROL SYSTEMS</topic><toplevel>online_resources</toplevel><creatorcontrib>Margineantu, Dragos D</creatorcontrib><creatorcontrib>Vining, Kirk A</creatorcontrib><creatorcontrib>Sipe, Alvin L</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Margineantu, Dragos D</au><au>Vining, Kirk A</au><au>Sipe, Alvin L</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Optimizing flights of a fleet of aircraft using a reinforcement learning model</title><date>2024-09-17</date><risdate>2024</risdate><abstract>A method of optimizing flights of a fleet of aircraft is provided. The method includes accessing flight plans for flights of a fleet of aircraft through an air transportation network, and applying the flight plans to a reinforcement learning model configured to determine maneuvers for each aircraft on a respective flight that achieves a respective maximum cumulative value of an operational efficiency metric across the flights of the fleet of aircraft, one or more of the maneuvers constituting a deviation from a respective flight plan. A comparison of respective maximum cumulative values of the operational efficiency metric is performed for the aircraft of the fleet of aircraft, one of the aircraft is selected based on the comparison, and a notification of the deviation from the respective flight plan is sent to the one of the aircraft.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US12094349B2
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
title Optimizing flights of a fleet of aircraft using a reinforcement learning model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T12%3A01%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Margineantu,%20Dragos%20D&rft.date=2024-09-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS12094349B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true