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Multi-Agent Simulation of En-Route Human Air-Traffic Controller
Journal article   Open access

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

David Šišlák, Přemysl Volf, Michal Pěchouček, Christopher Cannon, Duc Nguyen and William Regli
Proceedings of the ... AAAI Conference on Artificial Intelligence, v 26(2), pp 2323-2328
22 Jul 2012
DOI: https://doi.org/10.1609/aaai.v26i2.18978
url
https://doi.org/10.1609/aaai.v26i2.18978View
Published, Version of Record (VoR) Open

Abstract

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.

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