A Framework to Evaluate Aircraft Trajectory Generation Methods

A Framework to Evaluate Aircraft Trajectory Generation Methods

Olive, Xavier (Office National d'Etudes et de Recherches Aerospatiales)
Sun, Junzi (TU Delft Control & Simulation)
Murça, Mayara Condé Rocha (Aeronautics Institute of Technology)
Krauth, Timothe (Zurich University of Applied Science (ZHAW))

2021

Aircraft trajectory generation is a widely addressed problem with applications including emergency trajectory generation, collision risk models, air traffic flow and capacity management or airspace design. State of the art methods to generate individual trajectories and optimise some performance or emergency criterion may lack of realism with respect to common situations implemented by air traffic controllers. On the other hand, statistical data-driven methods to generate aircraft trajectories excel at imitating operational practice but may be difficult to implement even in simulations due to aircraft performance limitations. This contribution proposes a common baseline to compare literature and bleeding-edge methods to generate air traffic trajectories. Keeping in mind that the most appropriate criterion should always depend on the targeted application, we present here an extensive set of metrics to evaluate the quality of generated trajectories, before assessing two generation methods in light of these indicators.

air traffic management
trajectory generation
simulation
evaluation
statistical methods

http://resolver.tudelft.nl/uuid:4f15d68f-1d24-4e31-927e-be9c810d2b40

14th USA/Europe Air Traffic Management Seminar, 2021-09-20 → 2021-09-23, virtual event

Institutional Repository

conference paper

© 2021 Xavier Olive, Junzi Sun, Mayara Condé Rocha Murça, Timothe Krauth