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
A report on the combination of the deep learning methods used to predict the flow based on sparse measurements, for non-intrusive sensing in cities.
Description of high-fidelity simulations and results (opens in new window)A report describing the high-fidelity simulations of the first Task of the second Work Package as well as their results.
Description of multi-fidelity approach to combine both types of simulations (opens in new window)A report describing the multi-fidelity approach, and the frameworks used, to combine both types of simulations (high-fidelity and RANS-based).
Final deep learning inference optimisation framework (opens in new window)Final report on the acceleration and performance optimisation of the deep-learning inference for flow prediction and super-resolution models, as well as the extension of the inference auto-tuning compiler frameworks that will enable a series of customised optimizations of GANs, GNs and TNs layers, currently not offered in state-of-art deep-learning frameworks.
Multi-fidelity simulations auto-tuning framework (opens in new window)A report describing the multi-fidelity simulations auto-tuning framework devised in the fourth task of the second work package.
Description of RANS-based simulations and results (opens in new window)A report describing the RANS-based simulations performed in the second Task of the second Work Package as well as their results.
Trajectory optimisation for minimum environmental impact (opens in new window)A report on the development of optimisation algorithms for environmentally-oriented management of flying trajectories, based on both robust optimal control and reinforcement learning, for both drones and commercial aircrafts.
Systematic review and framework for testing drone noise impact on human and wildlife (opens in new window)Systematic review and framework for testing drone noise impact on human and wildlife. Investigation of the noticeability and annoyance of drone noise as a function of acoustic characteristics of drone operations and acoustic and non-acoustic context.
Report on Dissemination and Communication activities of Period 1 (opens in new window)Report on Dissemination and Communication activities of Period 1, with updated KPIs in case some have already been reached
Description of approach for super-resolution and optimisation of sensor location (opens in new window)Description of approach for super-resolution and optimisation of sensor location, for dealing with sparse measurements for which deep generative models will be used, and for deep-learning explainability methods defining optimal locations for the measurements.
Minimum Viable Product requirements report based on a review of aviation stakeholder needs and market insights (opens in new window)Presentation of new European business models and products prototypes enabled by RefMap services (opens in new window)
Report on Dissemination and Communication activities of Period 2 (opens in new window)
Report on Dissemination and Communication activities of Period 2 (final).
Dissemination and Communication Plan (opens in new window)The Dissemination Plan will identify the dissemination objectives activities tools deadlines and target audiences while defining mechanisms ensuring the longlasting visibility of the project after its end Communication activities include preparation of articles for mass media promotion of the project at relevant international and national events and practitioner meetings and social media management
Aviation climate change models (opens in new window)A report about the stochastic algorithmic climate change functions developed during the sixth task of the second work package.
The RefMap cloud service (opens in new window)A report on the integration of the RefMap technology, i.e. tools, models and analytics, into a cloud-based digital aviation service.
Report on assessment of impact of optimised trajectories on the performance of UAS operation in urban environment (opens in new window)Resilient and environmentally optimal aerial network (opens in new window)
A report on the development of a network-scale (i.e., considering multiple vehicles) optimisation algorithm to reduce the environmental impact both in urban areas and considering the ATM system.
Report on impact of drone noise on wildlife (opens in new window)A report on the development of a noise impact assessment framework for wildlife, focusing on birds and drone noise and the findings of task 4.4
Report on targets for public acceptance of drone noise in cities (opens in new window)Report on targets for public acceptance of drone noise in cities based on the findings of the investigation done in Task 4.3
Aircraft noise model and integration in the trajectory optimisation code (opens in new window)A report on the integration of the aircraft noise model, developed in WP4, in the trajectory optimisation code (WP3), aiming for environmental impact minimisation, and definition of environmental indicators.
First report on deep learning inference optimisation (opens in new window)The first report about the acceleration and performance optimisation of the deep-learning inference for flow prediction and super-resolution models.
Model for emission and propagation of drone noise (opens in new window)A report describing the model for emission and propagation of drone noise, based on a comprehensive campaign of noise measurements for a carefully selected set of drones, developed in task 4.2.
Local air quality models (opens in new window)A report on the assessment of the local impact of air traffic on air quality in the vicinity of airports, performed during the duration of the fifth task of the second work package.
This deliverable will be a model for Drone Noise Perception based on the work done in WP4.
Flight dynamics models with environmental impact assessment support (opens in new window)A report on the environmental impact,using the flight dynamics models for existing aircrafts extended by new ones for UAS for the simulation of emission and noise characteristics.
Data Management Plan
Data Management Plan (opens in new window)Data Management Plan Final (opens in new window)
Data Management Plan
Multi-scale aviation simulation with the inclusion of tools and frameworks previously developed in REFMAP's tasks.
Publications
Author(s):
Abolfazl Simorgh, Manuel Soler, Simone Dietmüller, Sigrun Matthes, Hiroshi Yamashita, Federica Castino, Feijia Yin
Published in:
Transportation Research Part D: Transport and Environment, Issue 131, 2024, ISSN 1361-9209
Publisher:
Elsevier BV
DOI:
10.1016/j.trd.2024.104196
Author(s):
Michael J. Lotinga, Marc C. Green, Antonio J. Torija Martinez
Published in:
The Journal of the Acoustical Society of America, Issue 155, 2024, ISSN 0001-4966
Publisher:
Acoustical Society of America (ASA)
DOI:
10.1121/10.0027135
Author(s):
Akshay Patil, Clara García-Sánchez
Published in:
Sustainable Cities and Society, Issue 132, 2025, ISSN 2210-6707
Publisher:
Elsevier BV
DOI:
10.1016/J.SCS.2025.106750
Author(s):
Fateme Baneshi, María Cerezo-Magaña, Manuel Soler
Published in:
Transport Policy, Issue 155, 2024, ISSN 0967-070X
Publisher:
Elsevier BV
DOI:
10.1016/j.tranpol.2024.06.023
Author(s):
Akshay Patil, Udhaya Chandiran Krishnan Paranjothi, Clara García-Sánchez
Published in:
SoftwareX, Issue 30, 2025, ISSN 2352-7110
Publisher:
Elsevier BV
DOI:
10.1016/J.SOFTX.2025.102117
Author(s):
Margret S. Engel, Robert J. Young, William J. Davies, David Waddington, Michael D. Wood
Published in:
Current Pollution Reports, Issue 10, 2024, ISSN 2198-6592
Publisher:
Springer Science and Business Media LLC
DOI:
10.1007/s40726-024-00303-z
Author(s):
Michael J. B. Lotinga, Carlos Ramos-Romero, Nathan Green, Antonio J. Torija
Published in:
Current Pollution Reports, Issue 10, 2024, ISSN 2198-6592
Publisher:
Springer Science and Business Media LLC
DOI:
10.1007/s40726-024-00311-z
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