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Reduce delays and improve flight safety through Big Data is possible

The objective of TBO-Met is to Avoid Security Problems and delays in flights by studying the meteorological uncertainty: weather phenomena difficult to predict, such as hail, Severe Ice Formation and lightning.

Every minute of the day there are around 12,000 airplanes in the air , an impressive figure that demonstrates the heyday of the transport of passengers and goods through the skies at the moment. The democratization of prices in this industry, which has made it possible to fly for many people , has elevated this way of traveling to the maximum expression. A phenomenon that makes it necessary to reinvent many of the circulation methodologies of these aircraft in order to improve safety and efficiency in the air operation.

This is precisely what Carlos III University of Madrid has focused on, through the TBO-Met project , creating an algorithm that maximizes the predictability of flights and reduces the risk of encountering stormy (potentially dangerous) phenomena. Thanks to this, it is possible to improve security, increase the capacity of air traffic and reduce delays.

“The impact of meteorology and the associated uncertainty in aviation is very high. It is estimated that approximately 20 to 30 percent of delays in Europe are related to climate, with estimated losses of 180-200 million euros per year, “explains the professor of the Department of Bioengineering and Aerospace Engineering of the UC3M, Manuel Soler Arnedo. In fact, only in 2017 losses of 215 million euros were estimated for the 2.1 million minutes of delay attributed to the inclement weather.

But even with the help of the latest advances in weather forecasting technology, time can be hard to predict. This is a problem for the management of flights, which requires an effective forecast to ensure smooth traffic.

Precisely, the objective of TBO-Met is to optimize the trajectories of aircraft, in order to avoid security problems and delays in flights . For this purpose, meteorological uncertainty, that is, weather phenomena that are difficult to predict, such as hail, severe ice formation and lightning, which can inflict considerable damage on aircraft, has been studied. The project has focused on understanding, characterizing and reducing this uncertainty. For this, it has focused on two main problems: the analysis of the demand of the sector in terms of the number of aircraft that must be operational and the planning of trajectories taking into account the uncertainties of the weather forecast and the activity of the storms.

The TBO-Met project is made up of research teams from UC3M, the University of Seville, the Loddron Universität Salzsburg (in Austria), the State Meteorological Agency (AEMET) and MeteoSolutions GmbH (in Germany). It belongs to the European program for research and innovation Horizon 2020 and is included in the SESAR project (Single European Sky ATM Research) for the improvement of air traffic.

The post Reduce delays and improve flight safety through Big Data is possible appeared first on 9 to 5 Live.



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