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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ftmdpi:oai:mdpi.com:/2226-4310/5/2/53/ 2023-08-20T04:06:21+02:00 Simulation of Random Events for Air Traffic Applications Stéphane Puechmorel Guillaume Dufour Romain Fèvre 2018-05-03 application/pdf https://doi.org/10.3390/aerospace5020053 EN eng Multidisciplinary Digital Publishing Institute Air Traffic and Transportation https://dx.doi.org/10.3390/aerospace5020053 https://creativecommons.org/licenses/by/4.0/ Aerospace; Volume 5; Issue 2; Pages: 53 fast time traffic simulator Gaussian field simulation air traffic management Text 2018 ftmdpi https://doi.org/10.3390/aerospace5020053 2023-07-31T21:30:13Z 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 (STochastic AppRoach for naviGATion functions in uncertain Environment) 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 air traffic control (ATC) and uncertainties on the wind velocity. The work presented here will detail algorithms suitable for the simulation task. Text Eyjafjallajökull Iceland MDPI Open Access Publishing Aerospace 5 2 53 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
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English |
topic |
fast time traffic simulator Gaussian field simulation air traffic management |
spellingShingle |
fast time traffic simulator Gaussian field simulation air traffic management Stéphane Puechmorel Guillaume Dufour Romain Fèvre Simulation of Random Events for Air Traffic Applications |
topic_facet |
fast time traffic simulator Gaussian field simulation air traffic management |
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 (STochastic AppRoach for naviGATion functions in uncertain Environment) 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 air traffic control (ATC) and uncertainties on the wind velocity. The work presented here will detail algorithms suitable for the simulation task. |
format |
Text |
author |
Stéphane Puechmorel Guillaume Dufour Romain Fèvre |
author_facet |
Stéphane Puechmorel Guillaume Dufour Romain Fèvre |
author_sort |
Stéphane Puechmorel |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2018 |
url |
https://doi.org/10.3390/aerospace5020053 |
genre |
Eyjafjallajökull Iceland |
genre_facet |
Eyjafjallajökull Iceland |
op_source |
Aerospace; Volume 5; Issue 2; Pages: 53 |
op_relation |
Air Traffic and Transportation https://dx.doi.org/10.3390/aerospace5020053 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/aerospace5020053 |
container_title |
Aerospace |
container_volume |
5 |
container_issue |
2 |
container_start_page |
53 |
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1774717369901383680 |