SESAR2020 Project PJ.10-W2 PROSA - Similar companies

We find the nearest competitors to any company through our proprietary AI and database of millions of companies

SESAR2020 Project PJ.10-W2 PROSA

Research · Langen, Hessen
Website: cordis.europa.eu

The sharp rise in European air traffic has increased the demands on air traffic controllers to ensure the safe, orderly and e ... fficient flow of air traffic. Building on previous research on this issue, the EU-funded PJ10-W2 PROSA project aims to further mature the concept of flight-centric air traffic control in which aircraft remain the responsibility of the same controller across two or more geographical sectors. Another objective is to enable collaborative control operations, in which controllers can issue instructions to aircraft that involve out-of-sector manoeuvring. This will be accompanied by an activity to identify and validate needs that might allow a Controller to operate in any airspace classified as a particular type. In addition, the project will investigate and develop the Contingency and Delegation of Airspace Operational Use Cases. It will identify the impacts on the services defined in the Virtual Centre concept and validate the concept within a realistic environment based on contingency needs or on organisation needs. New human-machine interface interaction modes and technologies will also be explored as a way to reduce air traffic controllers’ workload and mental strain. The project will in particular address Automatic Speech Recognition, Attention Guidance and enhanced User Profile Management Systems. This work will contribute towards better operational efficiency and improved flight predictability and safety. PJ.10-W2 PROSA is supported via the SESAR Joint Undertaking with funding from the European Union's Horizon 2020 research and development programme. With total grant funding of around €37 million, 28 partners and ten "linked third parties", the project managed by DFS is one of the largest projects in the SESAR 2020 programme. read more

Competitor Description Similarity

Loading..