Simulation of random events for air traffic applications
Resilience to uncertainties must be ensured in air traffic management. Unexpected events can either be disruptive, like thunderstorms or the famous volcano ash cloud resulting from the Eyjafjallajökull eruption in Iceland, or simply due to imprecise measurements or incomplete knowledge of the enviro...
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ftanrparis:oai:HAL:hal-01349681v1 2024-09-15T18:05:23+00:00 Simulation of random events for air traffic applications Puechmorel, Stéphane Dufour, G Fèvre, Romain Ecole Nationale de l'Aviation Civile (ENAC) ONERA - The French Aerospace Lab Toulouse ONERA Altys technologies ANR-14-CE27-0006,STARGATE,Approche stochastique pour fonctions de navigation en environnement incertain(2014) 2016-07-28 https://hal.science/hal-01349681 https://hal.science/hal-01349681/document https://hal.science/hal-01349681/file/simulation-random-events%281%29.pdf en eng HAL CCSD hal-01349681 https://hal.science/hal-01349681 https://hal.science/hal-01349681/document https://hal.science/hal-01349681/file/simulation-random-events%281%29.pdf info:eu-repo/semantics/OpenAccess https://hal.science/hal-01349681 2016 Fast time traffic simulator Gaussian field simulation Air traffic management [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation info:eu-repo/semantics/preprint Preprints, Working Papers, . 2016 ftanrparis 2024-07-12T11:34:01Z Resilience to uncertainties must be ensured in air traffic management. Unexpected events can either be disruptive, like thunderstorms or the famous volcano ash cloud resulting from the Eyjafjallajökull eruption in Iceland, or simply due to imprecise measurements or incomplete knowledge of the environment. While human operators are able to cope with such situations, it is generally not the case for automated decision support tools. Important examples originate from the numerous attempts made to design algorithms able to solve conflicts between aircraft occurring during flights. The STARGATE project was initiated in order to study the feasibility of inherently robust automated planning algorithms that will not fail when submitted to random perturbations. A mandatory first step is the ability to simulate the usual stochastic phenomenons impairing the system: delays due to airport platforms or ATC and uncertainties on the wind velocity. The work presented here will detail algorithms suitable for the simulation task. Report Eyjafjallajökull Iceland Portail HAL-ANR (Agence Nationale de la Recherche) |
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Open Polar |
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Portail HAL-ANR (Agence Nationale de la Recherche) |
op_collection_id |
ftanrparis |
language |
English |
topic |
Fast time traffic simulator Gaussian field simulation Air traffic management [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation |
spellingShingle |
Fast time traffic simulator Gaussian field simulation Air traffic management [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Puechmorel, Stéphane Dufour, G Fèvre, Romain Simulation of random events for air traffic applications |
topic_facet |
Fast time traffic simulator Gaussian field simulation Air traffic management [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation |
description |
Resilience to uncertainties must be ensured in air traffic management. Unexpected events can either be disruptive, like thunderstorms or the famous volcano ash cloud resulting from the Eyjafjallajökull eruption in Iceland, or simply due to imprecise measurements or incomplete knowledge of the environment. While human operators are able to cope with such situations, it is generally not the case for automated decision support tools. Important examples originate from the numerous attempts made to design algorithms able to solve conflicts between aircraft occurring during flights. The STARGATE project was initiated in order to study the feasibility of inherently robust automated planning algorithms that will not fail when submitted to random perturbations. A mandatory first step is the ability to simulate the usual stochastic phenomenons impairing the system: delays due to airport platforms or ATC and uncertainties on the wind velocity. The work presented here will detail algorithms suitable for the simulation task. |
author2 |
Ecole Nationale de l'Aviation Civile (ENAC) ONERA - The French Aerospace Lab Toulouse ONERA Altys technologies ANR-14-CE27-0006,STARGATE,Approche stochastique pour fonctions de navigation en environnement incertain(2014) |
format |
Report |
author |
Puechmorel, Stéphane Dufour, G Fèvre, Romain |
author_facet |
Puechmorel, Stéphane Dufour, G Fèvre, Romain |
author_sort |
Puechmorel, Stéphane |
title |
Simulation of random events for air traffic applications |
title_short |
Simulation of random events for air traffic applications |
title_full |
Simulation of random events for air traffic applications |
title_fullStr |
Simulation of random events for air traffic applications |
title_full_unstemmed |
Simulation of random events for air traffic applications |
title_sort |
simulation of random events for air traffic applications |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.science/hal-01349681 https://hal.science/hal-01349681/document https://hal.science/hal-01349681/file/simulation-random-events%281%29.pdf |
genre |
Eyjafjallajökull Iceland |
genre_facet |
Eyjafjallajökull Iceland |
op_source |
https://hal.science/hal-01349681 2016 |
op_relation |
hal-01349681 https://hal.science/hal-01349681 https://hal.science/hal-01349681/document https://hal.science/hal-01349681/file/simulation-random-events%281%29.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1810442941088399360 |