Descripción del proyecto
Preparando el terreno para que las aeronaves tripuladas y los drones compartan el cielo de forma segura
Los drones constituyen un negocio en crecimiento en Europa y poseen un enorme potencial para el desarrollo de aplicaciones civiles innovadoras en una amplia variedad de sectores. El proyecto financiado con fondos europeos USEPE prevé elaborar un concepto de operaciones que garantice que los vehículos aéreos no tripulados mantengan una separación segura (tanto de los otros drones como de las aeronaves tripuladas) en el abarrotado espacio aéreo urbano. Para entornos extremadamente exigentes como las ciudades, los conceptos incluirán factores adicionales, por ejemplo la estrecha proximidad del dron a los edificios y los gradientes del viento turbulento extremo en los cañones urbanos. Además, el proyecto evaluará nuevos métodos de aprendizaje automático para automatizar la gestión de la separación.
Objetivo
The U-space concept was the response of the Warsaw Declaration in 2017 to use drones as a leverage for jobs and new business opportunities. The U-space Blueprint published by the SESAR Joint Undertaking in 2017, states that “U-space is a set of new services and specific procedures designed to support safe, efficient and secure access to airspace for large numbers of drones”.
The number of drones' applications is increasing and, with them, the number of drones that will be flying simultaneously in a same geographical area that will need to be safely separated between them and from manned aircraft to allow the maximum number of flights in a given airspace. The separation problem becomes even worst when flights take place in an urban environment where buildings and extreme turbulent wind shear appears close to them.
USEPE is aware of these problems and will research on drones’ separation methods in high demanding environments such as cities. This research will be accompanied by a concept of operations that will be implemented and simulated for its validation. USEPE will also research on the use of machine learning algorithms to automate the safe separation and deconfliction of drones while maintaining airspace capacity in different environments and provide the U-space separation management system with artificial intelligence to comply with the statement made in the European ATM Masterplan Roadmap for the safe integration of drones into all classes of airspace. “[…]to take advantage of the latest developments related to technological areas, such as artificial intelligence […]”.
In order to obtain valuable results, a casuistic of real urban scenarios will be defined and their feasibility will be assessed to select and implement the more suitable ones and perform a full validation by using the European Operational Concept Validation Methodology (E-OCVM).
The research approach will take into account both the strategic and tactical flight phases.
Ámbito científico
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- social sciencessocial geographytransporttransport planningair traffic management
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
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Programa(s)
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Régimen de financiación
RIA - Research and Innovation actionCoordinador
28040 Madrid
España