Multi-Agent Simulation of En-Route Human Air-Traffic Controller

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00196958" target="_blank" >RIV/68407700:21230/12:00196958 - isvavai.cz</a>
Result on the web
<a href="http://www.aaai.org/ocs/index.php/IAAI/IAAI-12/paper/view/4873" target="_blank" >http://www.aaai.org/ocs/index.php/IAAI/IAAI-12/paper/view/4873</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Multi-Agent Simulation of En-Route Human Air-Traffic Controller
Original language description
The Next-Generation Transportation program coordinates the evolution and transformation of the current air-traffic management (ATM) system for the National Airspace System (NAS). Currently the NAS has a limited capacity and cannot handle the increasing future air traffic demands. However, before newly proposed ATM concepts are deployed they must be rigorously evaluated under realistic conditions. This paper presents AGENTFLY, an emerging NAS-wide highfidelity multi-agent ATM simulator with precise emulation of the human controller operation workload model and human-system interaction. The simulator is validated using a flight scenario developed by the U.S. Federal Aviation Administration that is based on real data. We present preliminary results focusing on the accuracy of the simulated controllers within AGENTFLY.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 24th Innovative applications of artificial intelligence conference
ISBN
978-1-57735-568-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
2323-2328
Publisher name
AAAI Press
Place of publication
Menlo Park, California
Event location
Toronto
Event date
Jul 22, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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