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               <dc:title>pyBADA: Easy BADA integration in Python for rapid prototyping</dc:title>
               <dc:creator>Dalmau Codina, Ramon</dc:creator>
               <dc:creator>Melgosa Farrés, Marc</dc:creator>
               <dc:creator>Prats Menéndez, Xavier</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Aeronàutica i espai</dc:subject>
               <dc:subject>Navigation (Aeronautics)</dc:subject>
               <dc:subject>Airplanes</dc:subject>
               <dc:subject>BADA</dc:subject>
               <dc:subject>Python</dc:subject>
               <dc:subject>aircraft performance</dc:subject>
               <dc:subject>optimisation.</dc:subject>
               <dc:subject>Navegació aèria</dc:subject>
               <dc:subject>Avions</dc:subject>
               <dc:description>The base of aircraft data (BADA) model provides accurate modelling of aircraft performances over the complete flight envelope for flight simulation and prediction applications. BADA is based on a generic total energy model, which performance functions (e.g., drag, maximum and minimum thrust, fuel flow) are particularised for each aircraft type with coefficients included in the BADA databases. BADA has a high reputation within the academic and research world, thus it is widely used for air traffic management research applications. This poster presents the architecture and capabilities of pyBada, a Python-based software designed for the easy integration of the BADA model in trajectory simulation, prediction and optimisation applications.</dc:description>
               <dc:description>Peer Reviewed</dc:description>
               <dc:description>Postprint (published version)</dc:description>
               <dc:date>2018</dc:date>
               <dc:type>Conference lecture</dc:type>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
               <dc:rights>Open Access</dc:rights>
               <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
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