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

Authors

  • David Šišlák Czech Technical University in Prague
  • Přemysl Volf Czech Technical University in Prague
  • Michal Pěchouček Czech Technical University in Prague
  • Christopher T. Cannon Drexel University
  • Duc N. Nguyen Drexel University
  • William C. Regli Drexel University

DOI:

https://doi.org/10.1609/aaai.v26i2.18978

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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Published

2012-07-22

How to Cite

Šišlák, D., Volf, P., Pěchouček, M., Cannon, C., Nguyen, D., & Regli, W. (2012). Multi-Agent Simulation of En-Route Human Air-Traffic Controller. Proceedings of the AAAI Conference on Artificial Intelligence, 26(2), 2323-2328. https://doi.org/10.1609/aaai.v26i2.18978