Projektergebnisse
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Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.
Leistungen
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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)Presentation of new European business models and products prototypes enabled by RefMap services (öffnet in neuem Fenster)
Report on Dissemination and Communication activities of Period 2 (öffnet in neuem Fenster)
Report on Dissemination and Communication activities of Period 2 (final).
Dissemination and Communication Plan (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)A report about the stochastic algorithmic climate change functions developed during the sixth task of the second work package.
The RefMap cloud service (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)Resilient and environmentally optimal aerial network (öffnet in neuem Fenster)
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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)Data Management Plan Final (öffnet in neuem Fenster)
Data Management Plan
Multi-scale aviation simulation with the inclusion of tools and frameworks previously developed in REFMAP's tasks.
Veröffentlichungen
Autoren:
Abolfazl Simorgh, Manuel Soler, Simone Dietmüller, Sigrun Matthes, Hiroshi Yamashita, Federica Castino, Feijia Yin
Veröffentlicht in:
Transportation Research Part D: Transport and Environment, Ausgabe 131, 2024, ISSN 1361-9209
Herausgeber:
Elsevier BV
DOI:
10.1016/j.trd.2024.104196
Autoren:
Michael J. Lotinga, Marc C. Green, Antonio J. Torija Martinez
Veröffentlicht in:
The Journal of the Acoustical Society of America, Ausgabe 155, 2024, ISSN 0001-4966
Herausgeber:
Acoustical Society of America (ASA)
DOI:
10.1121/10.0027135
Autoren:
Akshay Patil, Clara García-Sánchez
Veröffentlicht in:
Sustainable Cities and Society, Ausgabe 132, 2025, ISSN 2210-6707
Herausgeber:
Elsevier BV
DOI:
10.1016/J.SCS.2025.106750
Autoren:
Fateme Baneshi, María Cerezo-Magaña, Manuel Soler
Veröffentlicht in:
Transport Policy, Ausgabe 155, 2024, ISSN 0967-070X
Herausgeber:
Elsevier BV
DOI:
10.1016/j.tranpol.2024.06.023
Autoren:
Akshay Patil, Udhaya Chandiran Krishnan Paranjothi, Clara García-Sánchez
Veröffentlicht in:
SoftwareX, Ausgabe 30, 2025, ISSN 2352-7110
Herausgeber:
Elsevier BV
DOI:
10.1016/J.SOFTX.2025.102117
Autoren:
Margret S. Engel, Robert J. Young, William J. Davies, David Waddington, Michael D. Wood
Veröffentlicht in:
Current Pollution Reports, Ausgabe 10, 2024, ISSN 2198-6592
Herausgeber:
Springer Science and Business Media LLC
DOI:
10.1007/s40726-024-00303-z
Autoren:
Michael J. B. Lotinga, Carlos Ramos-Romero, Nathan Green, Antonio J. Torija
Veröffentlicht in:
Current Pollution Reports, Ausgabe 10, 2024, ISSN 2198-6592
Herausgeber:
Springer Science and Business Media LLC
DOI:
10.1007/s40726-024-00311-z
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