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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

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

Final Metamodelling Methodology (opens in new window)

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

Final Project Results Report (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

Planning of the dissemination, exploitation and communication actions

NOSTROMO Framework API + Associated documentation (opens in new window)

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 (opens in new window)

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

Final Specification of Case Studies (opens in new window)

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

Requirements specification (opens in new window)

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 (opens in new window)

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

NOSTROMO Interactive Dashboard - Preliminary Release (opens in new window)

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

ATM Performance Metamodels - Preliminary Release (opens in new window)

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

ATM Performance Metamodels - Final Release (opens in new window)

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

NOSTROMO Interactive Dashboard - Final Release (opens in new window)

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

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

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