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

Project Information

NOSTROMO

Grant agreement ID: 892517

DOI

10.3030/892517

Project closed

EC signature date 4 May 2020

Start date 1 June 2020

End date 30 November 2022

Funded under

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Total cost

€ 1 771 361,25

EU contribution

€ 1 771 361,25

Coordinated by

CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.
Spain

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (11)

Final Metamodelling Methodology

Final version of the metamodelling methodology incorporating the improvements derived from the lessons learnt within the project

Final Project Results Report

Report including the final publishable summary report and all the technical activities performed during the whole project It includes an assessment of the project achievements towards the RD initial goals first version available at T022

Preliminary Specification of Case Studies

Technical document that defines the preliminary NOSTROMO case studies and specifies the solutions, scenarios and KPAs/KPIs that will be evaluated in each case study.

Preliminary Metamodelling Methodology

Initial version of the metamodelling methodology, which will serve as basis for the specification of the metamodels requirements.

Evaluation of the NOSTROMO Performance Evaluation Toolset and Implementation Guidelines

Document describing the NOSTROMO metamodels and dashboard and the conclusions of the validation experiments and providing guidelines for integrating the proposed methodology into EOCVM and SESAR IR

Dissemination, Exploitation and Communication Plan

Planning of the dissemination, exploitation and communication actions

NOSTROMO Framework API + Associated documentation

Software framework providing access to the different tools required for the development of the metamodels, including Gaussian Process, Active Learning and Bayesian Optimisation tools.

Dissemination, Exploitation and Communication Report

Report on the implementation of the dissemination communication and exploitation of NOSTROMOs results

Final Specification of Case Studies

Technical document that defines the final NOSTROMO case studies considering the inputs provided by WP7 and the 2nd Stakeholders Workshop

Requirements specification

Requirements for the performance metamodels, including their inputs, KPIs and other outputs, high-level architecture and performance expectations.

Preliminary Assessment of the NOSTROMO Performance Evaluation toolset

Report documenting the results of the first set of simulation experiments and providing input to WP4 for the update of the definition of the case studies

Other (4)

NOSTROMO Interactive Dashboard - Preliminary Release

Initial release of the interactive dashboard which will be evaluated through the case studies defined in WP4

ATM Performance Metamodels - Preliminary Release

Initial release of the ATM performance metamodels which will be evaluated through the case studies defined in WP4

ATM Performance Metamodels - Final Release

Final release of the ATM performance metamodels, updated with the conclusions of the evaluation of preliminary release.

NOSTROMO Interactive Dashboard - Final Release

Final dashboard implementation (updated with the conclusions of the evaluation of the preliminary release) + Associated software documentation (including Requirements Document, Software Design Documents, Test Documentations and User Manual).

Publications

Conference proceedings (4)

Active Learning Metamodels for ATM Simulation Modeling

Author(s): Christoffer Riis, Francisco Antunes, Gérald Gurtner, Francisco Câmara, Luis Delgado and Carlos Azevedo
Published in: 2021
Publisher: SESAR INNOVATION DAYS 2021

Bayesian Active Learning with Fully Bayesian Gaussian Processes

Author(s): Christoffer Riis, Francisco Antunes, Francisco Câmara
Published in: 2022
Publisher: Neural Information Processing Systems 2022

Active Learning Metamodelling for R-NEST

Author(s): Christoffer Riis, Francisco Antunes, Francisco Câmara
Published in: 2022
Publisher: SESAR INNOVATION DAYS 2022

Explainable Metamodels for ATM Performance Assessment

Author(s): Christoffer Riis, Francisco Antunes, Francisco Câmara, Tatjana Bolic, Gérald Gurtner
Published in: 2022
Publisher: SESAR INNOVATION DAYS 2022