Método de avaliação aplicado à configuração dinâmica dos setores de controle do espaço aéreo

Fabio Nascimento; Paulo Costa; Denise Ferrari; Alexandre Barreto

doi:10.55972/spectrum.v22i1.327

Authors

Fabio Nascimento Instituto Tecnológico de Aeronáutica (ITA)
Paulo Costa George Mason University
Denise Ferrari Instituto Tecnológico de Aeronáutica (ITA)
Alexandre Barreto Instituto de Controle do Espaço Aéreo (ICEA)

DOI:

https://doi.org/10.55972/spectrum.v22i1.327

Keywords:

Simulation, Airspace management, Dynamic airspace configuration, Markov-switching vector autoregression

Abstract

Among the initiatives for the modernization of airspace control, Dynamic Airspace Configuration – DAC is a new paradigm for aviation, in which control sectors geometry are managed to adapt to the changing demand. This paper presents the AirCEM method (Airspace Complexity Evaluation), which proposes a metric of assessing, based on a Markov state model, which provides a dynamic visualization of the new configuration effects at the critical periods of workload within a given period. The methodology provides a metric that helps on the decision of separating/combining control sectors, considering airspace complexity factors and controller workload.

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