González Arribas, DanielSoler Arnedo, Manuel FernandoLópez Leonés, JavierCasado, EnriqueSanjurjo Rivo, Manuel2021-04-092021-04-092018-01-30González-Arribas, D., Soler, M., López-Leonés, J., Casado, E. & Sanjurjo-Rivo, M. (2018). Automated optimal flight planning based on the aircraft intent description language. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233(3), pp. 928–948.0954-4100https://hdl.handle.net/10016/32318The future air traffic management system is to be built around the notion of trajectory-based operations. It will rely on automated tools related to trajectory prediction in order to define, share, revise, negotiate and update the trajectory of the aircraft before and during the flight, in some case, in near real time. This paper illustrates how existing standards on trajectory description such as the aircraft intent description language can be enhanced including optimisation capabilities based on numerical optimal control. The Aircraft Intent Description Language is a formal language that has been created in order to describe aircraft intent information in a rigorous, unambiguous and flexible manner. It has been implemented in a platform for a modular design of the trajectory generation process. A case study is presented to explore its effectiveness and identify the requirements and needs to generate optimised aircraft intents with higher automation and flexibility. Preliminary results show the suitability of numerical optimal control to design optimised aircraft intents based on the aircraft intent description language.21eng©The Author(s) 2018Atribución-NoComercial-SinDerivadas 3.0 EspañaMultiphase optimal controlAircraft trajectoryAir traffic managementFlight planningTrajectory-based operationDirect transcriptionNumerical-solutionFrameworkAutomated optimal flight planning based on the aircraft intent description languageresearch articleAeronáuticahttps://doi.org/10.1177%2F0954410017751990open access9283948Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering233AR/0000023252