In short




2020-06-01 > 2022-11-30


EUR 1 771 361,25


EUR 1 771 361,25




The ATM system is composed of a myriad of elements that interact with each other generating a number of properties characteristic of complex adaptive systems, which make the ATM system intrinsically difficult to model. One of the most challenging modelling problems is the assessment of the performance impact of new solutions at a system-wide level, which has been a long-time objective of the ATM research community.

NOSTROMO project aims to develop new approaches to ATM performance modelling able to reconcile model transparency, computational tractability and ease of use with the necessary sophistication required for a realistic representation of the ATM system.

The main objectives of NOSTROMO are:

  1. Develop a methodology for the construction of ATM performance metamodels that approximate the behaviour of computationally expensive simulation models to allow a systematic and efficient exploration of the model input-output space and a robust handling of the associated uncertainty, by exploiting the recent advances in the field of active learning;
  2. Implement the proposed metamodelling methodology by developing Open-Source metamodels of different state-of-the-art microsimulation tools able to reproduce ATM performance at ECAC level;
  3. Develop a set of visualisation and visual analytics tools that facilitate the analysis, interpretation and communication of the results of the new metamodels;
  4. Demonstrate and evaluate the maturity of the NOSTROMO approach and the capabilities of the newly developed toolset through a set of case studies addressing the performance assessment of SESAR Solutions at ECAC level. They cover a variety of ATM phases, solutions and KPAs/KPIs sufficiently heterogeneous to allow a comprehensive benchmarking against the performance modelling methodologies currently in use, to analyse the added value and the limitations of the NOSTROMO approach and evaluate the appropriateness of its transition to SESAR IR and improvement of the E-OCVM.


Centro de Referencia de Investigación, Desarrollo e Innovación ATM

Nommon Solutions and Technologies

University of Westminster

Universitat Politècnica de Catalunya

Danmarks Tekniske Universitet

ISA Software Limited

This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 892517

European Union