Alternative 4D Trajectories for the avoidance of weather- and contrail-sensitive volumes

We present a framework to generate, in a multi- aircraft environment, 4D optimized trajectories in a scenario with several weather constraints obtained with advanced weather prediction models. We focus on the trajectory optimization module of this framework, which is based on a point-mass rep- resen...

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Bibliographic Details
Main Authors: Raul Saez, Bryan G. Cabrera, Marc Melgosa, Xavier Prats, Angelo Riccio, Rene ́ Verbeek, Nick van den Dungen
Format: Conference Object
Language:unknown
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/7410078
https://doi.org/10.5281/zenodo.7410078
Description
Summary:We present a framework to generate, in a multi- aircraft environment, 4D optimized trajectories in a scenario with several weather constraints obtained with advanced weather prediction models. We focus on the trajectory optimization module of this framework, which is based on a point-mass rep- resentation of the aircraft. By tuning some of the parameters of this module, we compute several alternative trajectories avoiding these constraints both laterally and vertically. The experiment conducted involves flights crossing the North Atlantic region, while in the en-route phase. This preliminary framework is also used to run the experiments in multiple cycles or consecutive time periods, assuming different update times for the weather constraints, and choosing the best trajectory per flight and per cycle. The ultimate goal of the framework is to develop innovative procedures in the air traffic management system to reduce the climate and environmental impact of aviation, while increasing the resilience of air operations to weather phenomena.