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Next-Generation Open-Source Tools for ATM Performance Modelling and Optimisation

Project description

Reinventing air traffic management performance modelling

In recent years, the question of how to assess the performance impact of new solutions at a system-wide level in terms of air traffic management (ATM) has arisen. The EU-funded NOSTROMO project aims to develop new approaches to ATM performance modelling, combining model transparency, computational tractability and ease of use. First, the project will develop a methodology to build ATM performance metamodels. Second, this metamodelling methodology will be developed thanks to open source metamodels based on microsimulation tools able to reproduce ATM performance at the European Civil Aviation Conference (ECAC) level. Third, it will develop a set of visualisation and visual analytics tools. The project's results will be evaluated with the aim of promoting its further implementation.

Objective

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 will 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.

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-SESAR-2019-2

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Coordinator

CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 368 625,00
Address
CALLE CAMPEZO, 1, 4º, EDIFICIO 7, PARQUE EMPRESARIAL LAS MERCEDES
28022 Madrid
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 368 625,00

Participants (5)

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