Institute of Information and Communication Technologies (ITACA)


Defining the building basic blocks for a U-Space separation management service

BUBBLES is a project targeting the formulation and validation of a concept of separation management for UAS in the U-space.

BUBBLES will develop Artificial Intelligence (AI) based algorithms to compute the collision risk of UAS leading to separation minima and methods so that a Target Level of Safety (TLS) stated in terms of overall probability of collision can be defined and maintained.

These algorithms will be applied to a set of generic ConOps for UAS operations defined by BUBBLES, detailed enough to cover most of the envisaged applications, but generic enough not to be linked to any particular one. They will be classified in terms of risk using the SORA methodology.

These separation minima and methods will be assigned to the ConOps using AI techniques, leading to the definition of a set of generic OSEDs from which safety and performance requirements for the CNS systems will be derived applying a performance based approach.

Funded by the EU, through H2020 and the SESAR JU, with more than €1.6 million for 30 months, starting in May 2020, the project is being launched by a consortium led by Universitat Politècnica de València and comprising the University of Coimbra, Università degli Studi di Roma La Sapienza, the European Organisation for the Safety of Air Navigation (EUROCONTROL) and the global Air Traffic Management leader company Indra.

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This project has received funding from the SESAR Joint Undertaking (JU) under grant agreement No 893206. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the SESAR JU members other than the Union.


Juan-Vicente Balbastre

ITACA Institute – Universitat Politècnica de Valencia

Camino de Vera, s/n. Edificio 8G, Acceso B, piso 1. 46022 Valencia (Spain)


Phone +34 96 387 77 66


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Projects Details



SESAR Joint Undertaking – Horizon 2020


Project duration:

1 May 2020 – 31 October 2022


Official project website: