Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management

Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management

In this paper, we consider a specific Air Traffic Management problem, where multiple aircraft in a specific region are required to reach a different target zone in the minimum expected time, while maintaining safe separation. The problem is complicated by the presence of random wind disturbances. We...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of adaptive control and signal processing 2010-10, Vol.24 (10), p.882-899
Hauptverfasser: Kantas, N., Lecchini-Visintini, A., Maciejowski, J. M.
Format: Artikel
Sprache:eng
Schlagworte:
air traffic management
Bayesian optimal design
conflict resolution
sequential Monte Carlo
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 899
container_issue 10
container_start_page 882
container_title International journal of adaptive control and signal processing
container_volume 24
creator Kantas, N.
Lecchini-Visintini, A.
Maciejowski, J. M.
description In this paper, we consider a specific Air Traffic Management problem, where multiple aircraft in a specific region are required to reach a different target zone in the minimum expected time, while maintaining safe separation. The problem is complicated by the presence of random wind disturbances. We propose a realistic policy to automatically generate optimal and safe maneuvres for each aircraft. The parameters of the optimal policy are computed using a sequential Monte Carlo approach. Copyright © 2010 John Wiley & Sons, Ltd.
doi_str_mv 10.1002/acs.1204
format Article
fullrecord <record><control><sourceid>istex_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1002_acs_1204</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ark_67375_WNG_2JSPQBTZ_T</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3694-765456bc1636e29f6c2b7f0a8945fbe8f20e1fa296593306c2b81edf34fca3f03</originalsourceid><addsrcrecordid>eNp1kNtKw0AQhhdRsFbBR8ilN6l7SDbZy7ZoVYoHWhFEWCbbnbI1h7Ib0b69CRXBC6-Gf76PYfgJOWd0xCjll2DCiHGaHJABo0rFjLH0kAxormgsBc-OyUkIG0o7xsSAvC1c9VFC65o6LiDYVTSBnQ0O6qjZtq6CMlp1cd1FjMB54wHbqPWwsaZtvLMhwsb3pF8iOhNVUMPaVrZuT8kRQhns2c8ckufrq-X0Jp4_zG6n43lshFRJnMk0SWVhmBTScoXS8CJDCrlKUixsjpxahsCVTJUQtMc5sysUCRoQSMWQXOzvGt-E4C3qre9e9zvNqO5b0V0rum-lU-O9-ulKu_vX0-Pp4q_vQmu_fn3w71pmIkv1y_1M87vF49Nk-aqX4huTyHPd</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management</title><source>Wiley Online Library</source><creator>Kantas, N. ; Lecchini-Visintini, A. ; Maciejowski, J. M.</creator><creatorcontrib>Kantas, N. ; Lecchini-Visintini, A. ; Maciejowski, J. M.</creatorcontrib><description>In this paper, we consider a specific Air Traffic Management problem, where multiple aircraft in a specific region are required to reach a different target zone in the minimum expected time, while maintaining safe separation. The problem is complicated by the presence of random wind disturbances. We propose a realistic policy to automatically generate optimal and safe maneuvres for each aircraft. The parameters of the optimal policy are computed using a sequential Monte Carlo approach. Copyright © 2010 John Wiley &amp; Sons, Ltd.</description><identifier>ISSN: 0890-6327</identifier><identifier>EISSN: 1099-1115</identifier><identifier>DOI: 10.1002/acs.1204</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>air traffic management ; Bayesian optimal design ; conflict resolution ; sequential Monte Carlo</subject><ispartof>International journal of adaptive control and signal processing, 2010-10, Vol.24 (10), p.882-899</ispartof><rights>Copyright © 2010 John Wiley &amp; Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3694-765456bc1636e29f6c2b7f0a8945fbe8f20e1fa296593306c2b81edf34fca3f03</citedby><cites>FETCH-LOGICAL-c3694-765456bc1636e29f6c2b7f0a8945fbe8f20e1fa296593306c2b81edf34fca3f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Facs.1204$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Facs.1204$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27915,27916,45565,45566</link.rule.ids></links><search><creatorcontrib>Kantas, N.</creatorcontrib><creatorcontrib>Lecchini-Visintini, A.</creatorcontrib><creatorcontrib>Maciejowski, J. M.</creatorcontrib><title>Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management</title><title>International journal of adaptive control and signal processing</title><addtitle>Int. J. Adapt. Control Signal Process</addtitle><description>In this paper, we consider a specific Air Traffic Management problem, where multiple aircraft in a specific region are required to reach a different target zone in the minimum expected time, while maintaining safe separation. The problem is complicated by the presence of random wind disturbances. We propose a realistic policy to automatically generate optimal and safe maneuvres for each aircraft. The parameters of the optimal policy are computed using a sequential Monte Carlo approach. Copyright © 2010 John Wiley &amp; Sons, Ltd.</description><subject>air traffic management</subject><subject>Bayesian optimal design</subject><subject>conflict resolution</subject><subject>sequential Monte Carlo</subject><issn>0890-6327</issn><issn>1099-1115</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp1kNtKw0AQhhdRsFbBR8ilN6l7SDbZy7ZoVYoHWhFEWCbbnbI1h7Ib0b69CRXBC6-Gf76PYfgJOWd0xCjll2DCiHGaHJABo0rFjLH0kAxormgsBc-OyUkIG0o7xsSAvC1c9VFC65o6LiDYVTSBnQ0O6qjZtq6CMlp1cd1FjMB54wHbqPWwsaZtvLMhwsb3pF8iOhNVUMPaVrZuT8kRQhns2c8ckufrq-X0Jp4_zG6n43lshFRJnMk0SWVhmBTScoXS8CJDCrlKUixsjpxahsCVTJUQtMc5sysUCRoQSMWQXOzvGt-E4C3qre9e9zvNqO5b0V0rum-lU-O9-ulKu_vX0-Pp4q_vQmu_fn3w71pmIkv1y_1M87vF49Nk-aqX4huTyHPd</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Kantas, N.</creator><creator>Lecchini-Visintini, A.</creator><creator>Maciejowski, J. M.</creator><general>John Wiley &amp; Sons, Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201010</creationdate><title>Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management</title><author>Kantas, N. ; Lecchini-Visintini, A. ; Maciejowski, J. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3694-765456bc1636e29f6c2b7f0a8945fbe8f20e1fa296593306c2b81edf34fca3f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>air traffic management</topic><topic>Bayesian optimal design</topic><topic>conflict resolution</topic><topic>sequential Monte Carlo</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kantas, N.</creatorcontrib><creatorcontrib>Lecchini-Visintini, A.</creatorcontrib><creatorcontrib>Maciejowski, J. M.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><jtitle>International journal of adaptive control and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kantas, N.</au><au>Lecchini-Visintini, A.</au><au>Maciejowski, J. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management</atitle><jtitle>International journal of adaptive control and signal processing</jtitle><addtitle>Int. J. Adapt. Control Signal Process</addtitle><date>2010-10</date><risdate>2010</risdate><volume>24</volume><issue>10</issue><spage>882</spage><epage>899</epage><pages>882-899</pages><issn>0890-6327</issn><eissn>1099-1115</eissn><abstract>In this paper, we consider a specific Air Traffic Management problem, where multiple aircraft in a specific region are required to reach a different target zone in the minimum expected time, while maintaining safe separation. The problem is complicated by the presence of random wind disturbances. We propose a realistic policy to automatically generate optimal and safe maneuvres for each aircraft. The parameters of the optimal policy are computed using a sequential Monte Carlo approach. Copyright © 2010 John Wiley &amp; Sons, Ltd.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/acs.1204</doi><tpages>18</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0890-6327
ispartof International journal of adaptive control and signal processing, 2010-10, Vol.24 (10), p.882-899
issn 0890-6327
1099-1115
language eng
recordid cdi_crossref_primary_10_1002_acs_1204
source Wiley Online Library
subjects air traffic management
Bayesian optimal design
conflict resolution
sequential Monte Carlo
title Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T17%3A45%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-istex_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Simulation-based%20Bayesian%20optimal%20design%20of%20aircraft%20trajectories%20for%20air%20traffic%20management&rft.jtitle=International%20journal%20of%20adaptive%20control%20and%20signal%20processing&rft.au=Kantas,%20N.&rft.date=2010-10&rft.volume=24&rft.issue=10&rft.spage=882&rft.epage=899&rft.pages=882-899&rft.issn=0890-6327&rft.eissn=1099-1115&rft_id=info:doi/10.1002/acs.1204&rft_dat=%3Cistex_cross%3Eark_67375_WNG_2JSPQBTZ_T%3C/istex_cross%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