The project was proposed by Austrian and ANS CR during the fifth EUROCONTROL Air Transport Innovation Network (EATIN) cycle, in December 2022.
Estimated time of arrival (ETA) is important for all aviation stakeholders because it is an input into various air traffic management (ATM) processes, during several flight phases, starting from the moment the flight plan is submitted up to the moment the flight departs.
A model will be developed to make improved predictions of ETA, the aim of which will be to reduce the average error of current ETA predictions for the different flight phases for a given flight. This model will take the outputs from machine learning models that already exist, which were build and validated within the EATIN programme to address other operational problems. One such example is the FADE model, which is available operationally, and which is used for predicting ATFCM delay of flights. The other models that will be used as inputs come from the KORI and TITOP projects. A new machine learning model may also be developed to improve the prediction of the flight time; its output would be an input into the model for predicting the ETA.
A scoping study reported its findings in May 2023 to stakeholders, and the project is expected to launch in summer 2023.
Austrian, KLM, Swiss International Air Lines, TAP Air Portugal
ANS CR, NATS
Brussels, Heathrow, Prague airports