Obiettivo
SafeClouds is a research project supported by EASA and powered by a full spectrum of aviation stakeholders (Airlines, Airports, ANSPs, Eurocontrol, Research Entities, Safety Agencies) that develops cutting-edge technologies for aviation safety assurance in a cost-effective manner. SafeClouds proposes a data-driven approach to achieve a deeper understanding of the dynamics of the system, where risks are pro-actively identified and mitigated in a continuous effort to enhance the already excellent European aviation safety records.
SafeClouds develops an innovative aviation safety data analysis approach. Currently each stakeholder owns different isolated datasets and data-sharing paradigms are rare. However, the combination of those datasets is critical in discovering unknown safety hazards and in understanding and defining a performance-based system safety concept. The new data-driven paradigm, capable of extracting safety intelligence in a fast, connected and inexpensive way requires the collaboration of aviation and IT entities sharing their raw datasets, tools, techniques and information.
SafeClouds high level objectives are:
- To define a user-requirement driven approach for data mining in aviation safety, covering several current safety challenges within airlines and runway operations.
- To develop novel data structures and safety intelligence representation. Given the complexity of the datasets, SafeClouds aims to solve their current challenges in data handling and knowledge discovery.
- To develop the proof of concept and validate in a laboratory the safety data analysis paradigms, at different levels: historical analysis, predictive analytics, automatic safety data monitoring and unknown hazards identification.
- To assemble a group of entities that encompasses the entire data-cycle for a unified, achievable vision for the future of safety analytics in Europe, including: users, data providers, data infrastructure researchers, operators and data scientists.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliinformatica e scienze dell'informazionesicurezza informaticaprotezione dei dati
- scienze naturaliinformatica e scienze dell'informazionescienza dei datiestrazione di dati
- scienze naturaliinformatica e scienze dell'informazioneintelligenza artificialeapprendimento automaticoapprendimento profondo
- scienze socialigeografia socialetrasportipianificazione dei trasportigestione del traffico aereo
- scienze naturaliinformatica e scienze dell'informazioneintelligenza artificialeintelligenza computazionale
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Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-MG-2016-SingleStage-INEA
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
28007 Madrid
Spagna