"RIV/68407700:21230/12:00196958!RIV13-MSM-21230___" . . . "978-1-57735-568-7" . "Nguyen, D. N." . "Multi-Agent Simulation of En-Route Human Air-Traffic Controller"@en . . "air-traffic management; human modeling; multi-agent simulation"@en . "Volf, P\u0159emysl" . . . "Cannon, C. T." . "Regli, W.C." . "6"^^ . . "[B8DF9590E026]" . . "AAAI Press" . . . . . "Proceedings of the 24th Innovative applications of artificial intelligence conference" . "152300" . . "21230" . "Multi-Agent Simulation of En-Route Human Air-Traffic Controller" . . "Menlo Park, California" . "http://www.aaai.org/ocs/index.php/IAAI/IAAI-12/paper/view/4873" . "Toronto" . "RIV/68407700:21230/12:00196958" . . "6"^^ . "2012-07-22+02:00"^^ . "Multi-Agent Simulation of En-Route Human Air-Traffic Controller"@en . . . "\u0160i\u0161l\u00E1k, David" . "P\u011Bchou\u010Dek, Michal" . "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." . . "V" . "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."@en . "Multi-Agent Simulation of En-Route Human Air-Traffic Controller" . . "3"^^ .