They combine Big Data and Artificial Intelligence to optimize air safety in storms


A European research team together with the University Carlos III of Madrid have implemented a formula based on Artificial Intelligence and Big Data in order to improve the situation of airplanes in the event of a storm. The project is funded by the European Commission, which has the participation of European partners from Germany, France, Austria and Turkey, it is planned to last until year 2022.

In this way, this formula is based on a series of algorithms that optimize the air traffic network when there are stormy phenomena in order to improve safety and also the punctuality of flights and thus reduce the economic losses derived from flight delays and cancellations. In this sense, UC3M has pointed out that hail or electrical storms are very difficult to forecast, hence the project promotes the optimization of the air transport network in resilience terms.


This has been indicated by the project coordinator, Manuel Soler, from the UC3M Department of Bioengineering and Aerospace Engineering, who points out that “when developing these algorithms it is important that they be resilient, that is, that they allow to react automatically to storms and recover the system”. In this way, flights can be planned based on the probability of storms, “even if the specific place or time is not known.”

As a result of this project, a flight planning software which will improve the indicators of the air transport system and reduce uncertainty by applying artificial intelligence with an epidemiological model to simulate how delays are propagated in the system at the network level.


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