In an effort to improve the effciency of air traffic operations, whilst reducing the envi-\ud
ronmental impact on aviation and increase capacity, 4D trajectory optimisation has shown\ud
good potential. In previous research the authors have described a framework where com-\ud
plex departure routes can be optimised, producing con\ud
ict free fuel optimal trajectories.\ud
The research in this paper extends this concept to account for prediction uncertainty of\ud
future states of intruding traffic. It is proposed to continuously monitor the surounding\ud
traffic and recompute the ownship trajectory whenever a deviation from nominal traffic\ud
behavior arises. The effectiveness of the conformance monitoring function is evalutated in\ud
a scenario with two aircraft \ud
ying standard departing procedures from Barcelona and Reus\ud
airports.Peer ReviewedPostprint (published version
In previous research, an aircraft trajectory planning algorithm was developed aiming at\ud
optimizing continuous descent operations with required times of arrival at given waypoints.\ud
A non-linear optimal control problem was solved by using direct transcription methods.\ud
In this paper, enhanced models for the same optimization framework are presented, im-\ud
proving the accuracy of the optimized trajectories. These new models take into account\ud
wind, realistic atmospheric conditions, curved trajectories and general improvements in the\ud
aircraft dynamics model. Preliminary results are shown in a hypothetical scenario where\ud
trajectories are optimized from cruise altitude to the runway with different required times\ud
of arrival at the threshold. The effects of wind and non-standard atmospheres can be easily\ud
appreciated.Peer ReviewedPostprint (published version
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