This project is part of the Industrial Research & Validation phase, developed under the SJU Private Public Partnership and will contribute to the SESAR2020 Programme Lifecycle. It will build upon previous work in SESAR2020 Wave 1....
This project is part of the Industrial Research & Validation phase, developed under the SJU Private Public Partnership and will contribute to the SESAR2020 Programme Lifecycle. It will build upon previous work in SESAR2020 Wave 1. The project will further mature the concept of Flight Centric ATC where an air traffic controller is responsible for a certain number of aircraft throughout their entire flight segment within a given airspace whereas other controllers are responsible for different aircraft within the same airspace. Another objective is to enable collaborative control operations, where ATCOs will be able to issue instructions to aircraft that involve out-of-sector manoeuvring, without the coordination required in conventional operations. 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. That is, the ATCO will be validated on method and tools rather than a geographic specified airspace. 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 (either static, on a fixed-time transfer schedule, or dynamic, when the traffic density is below/above a certain level). In order to reduce the workload and mental strain on the controllers in the ATC centre, especially under high traffic density/complexity situations, the project will investigate new human machine interface interaction modes and technologies. This work will consider modern design and development approaches as well as methodologies such as modularity, service-oriented architecture, adaptive automation. The project will in particular address Automatic Speech Recognition, Attention Guidance and enhanced User Profile Management Systems.ver más
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