New flight deck solutions for low visibility operations

ALICIA aims at developing new and scalable cockpit applications which can extend operations of aircraft in degraded conditions.

PROJECT: ALICIA – All Condition Operations And Innovative Cockpit Infrastructure

FUNDING SCHEME: European Commission, 7th Framework

DURATION: 2009-2014



ALICIA develops and tests on simulators more than 100 innovative solutions, able to enhance current operational capacities of both fixed-wing aircraft and helicopters.


The new solutions permit to fly in bad visibility conditions, enhancing safety and reducing delays and costs.



Deep Blue contributes to the design, prototyping, and re-design of ALICIA solutions.


We also contribute to the evaluation of the usability of the new solutions and their impact on pilots’ Workload, Situation Awareness and workflow, as well of the impact on overall system performance and safety.


We organize and manage the validation sessions in fixed and rotary wings simulators, where operational pilots test the new solutions performing realistic scenarios.


We play a key role in the project communication strategy, being responsible of project Dissemination and Exploitation activities. Deep Blue takes care of project identity design, website, brochure and videos production and scientific communication coordination.

The new solutions Deep Blue contributes to design and evaluate will reduce the bad weather related delays of commercial flights and allow helicopters’ search&rescue operations and emergency medical services also in foggy and low visibility days.


Deep Blue contributes to the development of a common Human Machine Interface philosophy: the aim is to the design new cockpit in a way to minimize the pilots’ training needs when moving from an aircraft type to another, or even from fixed-wing to rotary wing aircraft.


In ALICIA, Deep Blue develops ad-hoc evaluation methods, such as electronic questionnaires, providing in real time pilots feedback during simulations, and quantitative high resolution workload assessment based on neurophysiologic indexes analysis.


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