Nas-wide en-route air-traffic controller modeling

Abstract

Increasing air-traffic demand implies that new air-traffic management (ATM) concepts lowering controller loads, maintaining safety and increasing efficiency need to be designed and implemented. Many of such ideas are prepared within NextGEN. Before they are deployed to real daily usage in National Airspace System (NAS), they must be rigorously evaluated under realistic conditions. The paper presents AGENTFLY, a NAS-wide high-fidelity distributed multi-agent simulator with precise emulation of the human controller operation workload model and human-system interaction. The current version of AGENTFLY provides precise modeling of the human radar controller (R-side) operating in en-route sector.