Project description
Setting a safer course for air traffic management
Air traffic management (ATM) is a complex network. It includes air traffic services, airspace management and air traffic flow management with the aim of ensuring safety and efficiency. The EU-funded FARO project will determine how ATM addresses safety and resilience issues. It will consider higher levels of automation on ATM resilience and solutions forged by SESAR (the technological pillar of Europe’s ambitious Single European Sky initiative), which coordinates and concentrates all EU R&D activities in ATM. SESAR considers the automation and digitalisation principles, transposed to the European ATM Master Plan. It is also important for data to be organised in order to be quantified. Accumulated safety knowledge will enable more proactive monitoring of the system.
Objective
Air Traffic Management (ATM) goals are to expedite the flow of air traffic while ensuring safety. Demand upon the ATM system is reaching its capacity levels, which introduces pressure on the economics of air transportation and accentuates the challenge of maintaining safety. Increased Automation promises to effectively balance the capacity issue while ensuring scalability and increasing resilience.
Automation cements the modernisation of ATM in Europe, and SESAR solutions are a realisation of the sustained effort during past years towards this goal. SESAR considers the automation and digitalisation principles, transposed to the European ATM Master Plan. They are founded on the application of technology impacting profoundly on organisations and changing how people operate the ATM system. These three pillars together represent the TOP (Technology, Organisation, People) approach, and the impact of a solution can only be evaluated by addressing these three elements simultaneously. Digital solutions bring digital footprints (data). Data can be organised, transformed and exploited to quantify that impact as a function of technical, organizational, human and procedural dimensions. The quantification of this impact will be based on a deep knowledge of how ATM provides safety before and after the solution is deployed. Learning from past incidents and accidents by using natural language processing and data analysis together with gathering operational expertise will pave the way to enrich accumulated safety knowledge with a more pro-active monitoring of the system.
FARO aims at bringing new lights about how safety and resilience are addressed in ATM, with 4 main objectives: the capitalisation on the existent knowledge of safety, the quantification of the impact of increasing the level of automation on ATM safety levels, the analysis of the impact of higher levels of automation on ATM resilience, and the provision of design guidelines and identification of future research needs
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciences economics and business economics
- natural sciences computer and information sciences data science natural language processing
- social sciences sociology industrial relations automation
- social sciences social geography transport transport planning air traffic management
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.3.4.7. - SESAR JU
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SESAR-2019-2
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28022 Madrid
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.