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This news article was originally written in Spanish. It has been automatically translated for your convenience. Reasonable efforts have been made to provide an accurate translation, however, no automated translation is perfect nor is it intended to replace a human translator. The original article in Spanish can be viewed at José Adrián Rodríguez Fonollosa, investigador del TALP, premiado por General Electric

José Adrián Rodríguez Fonollosa, researcher of the TALP, rewarded by General Electric

12/05/2014

12 May 2014

The researcher and professor José Adrián Rodríguez Fonollosa, of the Centre of Technologies and Applications of the Language and the Speech (TALP) of the Universitat Politècnica of Catalonia • BarcelonaTech (UPC), has been the first selected of the second phase of the international contest Flight Quest, summoned by the General company Electric to boost the development of algorithms that help to do more efficient the routes of the flights of the aerial companies.

José Adrián Rodríguez Fonollosa, professor and researcher of the UPC, showing the screen where sees the diagram of the winning model...

José Adrián Rodríguez Fonollosa, professor and researcher of the UPC, showing the screen where sees the diagram of the winning model.

Develop an innovative solution that allow to the airlines determine the route of flight more efficient in real time can do save to the industry 3.000 million dollars to the year. In this sense, the model presented by the researcher José Adrián Rodríguez Fonollosa, of the Centre of Technologies and Applications of the Language and the Speech (TALP) -centre member of CIT UPC- and professor of the Department of Theory of the Signal and Communications of the UPC, has resulted to be until a 12 % more efficient in comparison with the group of data of real flights. This solution has won the second phase of the international contest Flight Quest, that summons the General company Electric. The prize is endowed with 100.000 dollars and the company will integrate the winning model in his system of flights.

With the collaboration of Alaska Airlines and by means of the platform of crowdsourcing Kaggel, has challenged to the scientific community of data, start up and companies to find a form to increase the efficiency of the flight in real time, reducing the delays and maximizando the profitability. The algorithms of the selected of the contest determine the most efficient routes, the speeds and the altitudes anytime of a flight taking into account variable like the limitations of the time, of the wind and of the aerial space.

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