Local Redesigning of Airspace Sectors
Irina Kostitsyna, Joseph Mitchell

TL;DR
This paper addresses the Airspace Sectorization Problem by formulating it as a partitioning challenge, demonstrating NP-hardness, and proposing a heuristic local redesigning method that improves sectorization balance based on real and synthetic data.
Contribution
It introduces a novel heuristic algorithm for rebalancing airspace sectors, considering various workload and geometric constraints, and evaluates its effectiveness on real and synthetic data.
Findings
The heuristic improves workload distribution compared to current US airspace sectorizations.
Most problem formulations are NP-hard, indicating computational complexity.
The method outperforms existing sectorizations in experimental evaluations.
Abstract
In this paper we study the Airspace Sectorization Problem (ASP) where the goal is to find an optimal partition (sectorization) of the airspace into a certain number of sectors, each managed by an air traffic controller. The objective of the ASP is to find a "well-balanced" sectorization that distributes the workload evenly among the controllers. We formulate the ASP as a partitioning problem of a set of moving points in a polygonal domain. In addition to the requirement of balancing the workload, we introduce restrictions on the geometry of the sectorization which come from the Air Traffic Management aspects. We investigate several versions of the problem that arise from different definitions of the notion of the workload and various choices of geometric restrictions on the sectorization. We conclude that most of the formulations of the problem, except maybe in some trivial cases, are…
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Taxonomy
TopicsAir Traffic Management and Optimization · Aviation Industry Analysis and Trends · Traffic control and management
