The project

The project

Resilience2050 is a European FP7 collaborative research project . It was launched on the 1st of June, 2012 under FP7-Transport sub-programme area AAT.2012.6.2-4. The duration of the project is 43 months. Technical and budget information can be found on CORDIS, the EU’s Community Research and Development Information Service website.

Objectives · Who we are · Work completed


The main aim of this project is to achieve a deeper knowledge of the resilience concept in ATM, which today only incorporates the aspect of safety management. Resilience, which describes the ability of a system to recover under abnormal conditions to a given state is investigated thoroughly in domains with socio-ecological background. Resilience2050 will transfer this knowledge to ATM applying it as a new property of the system and use innovative Data Science techniques to mine different datasets to extract information on how resilient to disturbances the ATM system is. Design principles will be derived that consider only safety and physical constraints, taking into account the quantitative assessments made through the data mining process. Resilience2050 will be presenting a new concept for an efficient and resilient future ATM system.

Who we are

Resilience2050 is coordinated by Innaxis, and there are six participants from five different countries:

INX: The Innaxis Foundation and Research Institute, Coordinator · Spain.
DLR: Deutsches Zentrum für Luft- und Raumfahrt e.V., the German Aerospace Centre · Germany.
NLR: Nationaal Lucht-en Ruimtevaartlaboratorium, the National Aerospace Laboratory · The Netherlands.
ITU: Istanbul Teknik Universitesi, Istanbul Technical University · Turkey
DHMI: Devlet Hava Meydanlari Isletmesi, the General Directorate of State Airports
Authority of Turkey · Turkey.
UPM: Universidad Politécnica de Madrid · Spain.
KCL: King’s College London · United Kingdom.

Partners come mainly from the aviation field and ensure a 360 degree vision of ATM and resilience concepts.




Work completed

The basis for the definition of the term resilience by analyzing resilience in complex systems that are different to the ATM system.

The contribution of human operators regarding resilience. Qualitative analysis based on interviews (ATCOs, pilots etc.).

Resilience and resilience-related definitions (robustness, disturbances, perturbations, stress)

Data sets required In order to examine trends and anomalies based on them. Data sets specifications, properties, quality, integrity.

The propagation of delay (the chosen KPI) is investigated from a network as well as from an airport perspective. Preliminary macro and micro results.

Specifications and approach to design a potential data-mining service that would report the European ATM resilience .

A multilayer representation of the ATM system, based on relations between the relevant elements . 

Disturbances and their implications on delay can be assessed by means of a new developed method. A linear regression of delay times at origin and destination is carried out, providing a statistic representation of the quality of delay absorption.

This deliverable aims to formulate new methods and procedures to enhance resilience within the system.

How the air transportation system will perfomr at 2030 and 2050.

Balancing resilience and efficiency. Human role impact in resilience .

Simulation environment, visualization, REM2050 model, resilience visualization .

Stress test definitions, usage and properties in the ATM-resilience context.

Implementation of the different case studies, after applying (or not) the resilience design principles.

WP5 results, including key insights and assessment of WP5 outcomes.