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Airspace Design and Environmental Analysis

Airspace Optimization

Overview
Airspace Optimization is a modeling methodology combining airspace simulation and mathematical algorithms for optimally designing airspace boundaries at both center and sector levels. As an initial step, airspace complexity metrics are calculated using large-scale simulation of aircraft movement for uniform hexagonal grids representing airspace elements. The simulation outputs are used to produce airspace complexity maps independent from existing center/sector boundaries. Then hexagonal cells are clustered together to construct optimum center/sector boundaries. The clustering problem is formulated as optimization algorithms that are solved using state-of-the-art mathematical solvers.

Benefits

  • System level design approach to address key issues associated with system level re-design
  • Grid based optimization methodology
  • Reduces operational costs by decreasing the overall
    ATC workload
  • Maximizes the airspace throughput


Example of DFW high altitude re-design.

Benefits
Unlike most of the traditional airspace design approaches, this technology aims for a system level (as opposed to regional) design to address key issues associated with system level re-design, such as optimum center/sector boundaries, number of sectors, and size of sectors. The grid-based optimization methodology enables the inclusion of wide range of objective functions and constraints including minimization of inter-center/sector coordination, uniformly distributing the workload among centers/sectors, and minimizing the operational cost. The optimum design reduces the operational costs by decreasing the overall ATC workload and also maximizes the airspace throughput.

Hex-cells are first clustered to centers. Clustering is further continued within the revised centers to determine the optimum sector boundaries. Here, DFW sectors are shaped along the major tracks.

Deployment
The Airspace Optimization technology has been developed as a part of the collaborative program between Metron Aviation, NeoMetSys, and academia. Initial testing and verification have been conducted and the technology is being industrialized to prepare for further application. Currently the FAA has awarded a project to Metron Aviation for mathematical research into designing Air Route Traffic Control Centers (ARTCCs).

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