CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Presentation of new European business models and products prototypes enabled by RefMap services (s’ouvre dans une nouvelle fenêtre)
Report on Dissemination and Communication activities of Period 2 (s’ouvre dans une nouvelle fenêtre)
Report on Dissemination and Communication activities of Period 2 (final).
Dissemination and Communication Plan (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)A report about the stochastic algorithmic climate change functions developed during the sixth task of the second work package.
The RefMap cloud service (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Resilient and environmentally optimal aerial network (s’ouvre dans une nouvelle fenêtre)
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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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.
Multi-scale aviation simulation with the inclusion of tools and frameworks previously developed in REFMAP's tasks.
Publications
Auteurs:
Abolfazl Simorgh, Manuel Soler, Simone Dietmüller, Sigrun Matthes, Hiroshi Yamashita, Federica Castino, Feijia Yin
Publié dans:
Transportation Research Part D: Transport and Environment, Numéro 131, 2024, ISSN 1361-9209
Éditeur:
Elsevier BV
DOI:
10.1016/j.trd.2024.104196
Auteurs:
Michael J. Lotinga, Marc C. Green, Antonio J. Torija Martinez
Publié dans:
The Journal of the Acoustical Society of America, Numéro 155, 2024, ISSN 0001-4966
Éditeur:
Acoustical Society of America (ASA)
DOI:
10.1121/10.0027135
Auteurs:
Akshay Patil, Clara García-Sánchez
Publié dans:
Sustainable Cities and Society, Numéro 132, 2025, ISSN 2210-6707
Éditeur:
Elsevier BV
DOI:
10.1016/J.SCS.2025.106750
Auteurs:
Fateme Baneshi, María Cerezo-Magaña, Manuel Soler
Publié dans:
Transport Policy, Numéro 155, 2024, ISSN 0967-070X
Éditeur:
Elsevier BV
DOI:
10.1016/j.tranpol.2024.06.023
Auteurs:
Akshay Patil, Udhaya Chandiran Krishnan Paranjothi, Clara García-Sánchez
Publié dans:
SoftwareX, Numéro 30, 2025, ISSN 2352-7110
Éditeur:
Elsevier BV
DOI:
10.1016/J.SOFTX.2025.102117
Auteurs:
Margret S. Engel, Robert J. Young, William J. Davies, David Waddington, Michael D. Wood
Publié dans:
Current Pollution Reports, Numéro 10, 2024, ISSN 2198-6592
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/s40726-024-00303-z
Auteurs:
Michael J. B. Lotinga, Carlos Ramos-Romero, Nathan Green, Antonio J. Torija
Publié dans:
Current Pollution Reports, Numéro 10, 2024, ISSN 2198-6592
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/s40726-024-00311-z
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