Code accompanying the manuscript "Decision-Making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0"

doi: 10.4121/3744b922-ffa6-4f92-ad57-dc93f94e969b.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/3744b922-ffa6-4f92-ad57-dc93f94e969b
Datacite citation style:
Castino, Federica (2023): Code accompanying the manuscript "Decision-Making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3744b922-ffa6-4f92-ad57-dc93f94e969b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This code identifies a recommended solution among a set of Pareto optimal solutions, according to the preferences of the decision-maker. In particular, this python library has been developed with the aim of identifying eco-efficient aircraft trajectories.

history
  • 2023-06-28 first online, published, posted
publisher
4TU.ResearchData
format
.ipynb; .py; .txt.; .dat;
funding
  • FlyATM4E (grant code 891317) [more info...] H2020 SESAR joint undertaking
organizations
TU Delft, Faculty of Aerospace Engineering, Department of Control and Operations, Section Aircraft Noise and Climate Effects (ANCE)

DATA

files (1)