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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Main Authors: Puechmorel, Stéphane, Dufour, G, Fèvre, Romain
Other Authors: 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
Language:English
Published: HAL CCSD 2016
Subjects:
Online Access:https://hal.science/hal-01349681
https://hal.science/hal-01349681/document
https://hal.science/hal-01349681/file/simulation-random-events%281%29.pdf
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spelling ftenac:oai:HAL:hal-01349681v1 2024-05-19T07:39:58+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 ftenac 2024-04-25T00:06:09Z 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 ENAC: HAL (Ecole Nationale de l’Aviation Civile)
institution Open Polar
collection ENAC: HAL (Ecole Nationale de l’Aviation Civile)
op_collection_id ftenac
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
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