Data-Based Modeling and Optimization of En Route Traffic

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Abstract
Air traffic management aims at ensuring safe and efficient movement of aircraft in the airspace. With the predicted growth of air transportation, providing traffic flow managers with the tools to support decision-making is essential. These tools should aid in accommodating the air traffic throughput increase while limiting controller workload and ensuring high safety levels. The objective of this paper is to present a methodology to model and simulate traffic in a given portion of the airspace from data under nominal and perturbed conditions. A new framework for en route traffic flow management and airspace health monitoring is developed. It is based on a data-driven approach for air traffic flow modeling using historical data. This large-scale three-dimensional flow network provides valuable insight on airspace complexity. A linear programming formulation for optimizing en route air traffic is proposed. It takes into account a controller task load model based on flow geometry, in order to estimate airspa...

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