Dynamic Airspace Sectorization using Controller Task Load

Within this paper a new approach for a dynamic airspace sectorization based on controller task load is presented. We combine fuzzy clustering, Voronoi diagrams and evolutionary algorithms to create an adaptive and time dependent sectorization regarding to a harmonized controller task load. Our optimization strategy considers a predefined set of evaluation parameters and interim sectorizations are implemented for a smooth transition between the evolutionary adaptations of the sector structure. Furthermore, we developed a method to adapt Voronoi diagrams to a non-convex border. A short overview about the used methods is given and several tests of different evaluation functions are performed. The last part of this paper concentrates on the creation and evaluation of the interim sectorizations.