A new algorithm improves flight safety and reduces delays
Developed as part of the European TBO-Met project
Even with the help of the latest advances in weather forecasting technology, the weather can be difficult to predict. This poses a problem for the management of flights, which requires efficient forecasting in order to be able to guarantee a smooth flow of traffic. The research carried out by the scientists on the TBO-Met project (Meteorological Uncertainty Management for Trajectory Based Operations) has given rise to an algorithm that is applied to the trajectory of the aircraft – known as the flight plan – and allows air traffic to be predicted and improved by taking into account the uncertainties of the weather forecast. This advance increases the system’s ability, that is to say, the number of planes that are able to fly in one space at one time.
“The impact of the weather forecast and the uncertainty associated with aviation is very high. It is estimated that between approximately 20 and 30 per cent of delays in Europe are related to the weather, with estimated losses of around 180-200 million euros a year”, explains lecturer from the UC3M department of Bioengineering and Aerospace Engineering, Manuel Soler Arnedo, head of the TBO-Met project at the UC3M. In fact, in just 2017 losses of 215 million euros were estimated for the 2.1 million minutes of delay time caused by extreme weather conditions.
TBO-Met’s aim is to optimise the trajectories of aircrafts, in order to avoid problems with flight safety and delays. For this, meteorological uncertainty has been studied, that is to say, weather conditions that are difficult to predict, such as hail, severe ice build-up and lightning, which can cause considerable damage to aircrafts. The project is focused on understanding, characterising and reducing uncertainty. For this, two main problems have been focused on: the analysis of sector demand in terms of the number of planes that should be operating, and trajectory planning, taking into account the uncertainties of the weather forecast and storm activity.
The TBO-Met project is made up of two research teams from the UC3M, the Universidad de Sevilla, the Loddron Universität Salzsburg (in Austria), the Agencia Estatal de Meteorología, (Spanish State Meteorological Agency, initials in Spanish: AEMET) and MeteoSolutions GmbH (in Germany). It belongs to the European research and innovation programme Horizon 2020, and is part of the SESAR project (Single European Sky ATM Research) for the improvement of air traffic (reference number 699294).
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Javier Alonso Flores