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CGX

CGx AERO in SYS
Country: France
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7 Projects, page 1 of 2
  • Funder: European Commission Project Code: 820516
    Overall Budget: 1,218,850 EURFunder Contribution: 853,192 EUR

    This proposal combines the skills of CGX AERO in procedure design, cartography and aeronautical software development with the expertise of SCALIAN EUROGICIEL in big data and data mining techniques to set up an innovative platform for a new philosophy of FMS trajectories validation. The consortium proposes to address first a larger scale of trajectories testing by gathering reference trajectories, directly issued from procedure designers and validated by the customers as well as providing scripts emulating pilot actions (virtual crew module), resulting in the generation of a large number of computed trajectories. CGX AERO's expertise in procedure design will allow finding out the right moments during the flight and the right places along the flight procedures where to insert the perfect and unexpected/imperfect actions from the crew, to obtain the most relevant panel of trajectories. To address the comparison between a FMS computed trajectory and a theoretical trajectory, a set of algorithms based on procedure Ground Validation (data integrity, business rules verification, ARINC 424 coding rules, 4D simulation, obstacle assessment) and on-the-fly computation of PANS-OPS Protection Areas will be defined. This will ensure finding the correct threshold beyond which an outlier comes from a procedure design issue instead of a FMS computation issue. SCALIAN EUROGICIEL's expertise in big data and data mining techniques will allow setting up a data warehouse, with data analytics tools in order to run and store the results of the millions of trajectory comparisons that will be performed.

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  • Funder: European Commission Project Code: 255886
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  • Funder: European Commission Project Code: 325995
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  • Funder: European Commission Project Code: 864771
    Overall Budget: 1,342,910 EURFunder Contribution: 998,917 EUR

    SafeNcy project aims at designing, developing, testing and validating a TRL5 on-board function for the FMS capable to support the pilot in the decision making process following an emergency situation with degraded and adverse conditions. Firstly, an emergency landing site selection algorithm will be developed, using a database of possible landing sites that is constantly updated via data-link connection with the airline Operating Control Centre (OCC) and which takes into account updated meteorological information and potential hazards. This landing site will minimize also the collateral effect of the emergency landing by selecting landing sites with a minimum population density and low risk propagation. Secondly, an on-board trajectory generation prototype will be developed in order to compute the best emergency trajectory from the aircraft to the selected landing site(s). This algorithm will also take into account the most up-to-date meteorological information, consider the degraded dynamics of the aircraft resulting from some failures, and will have a robust design allowing real-time capabilities. Finally, a thorough verification and validation campaign will be performed, developing an ad-hoc simulator for testing purposes and integrating it with a fault detection and identification external block provided by the Topic Leader. The consortium has been structured to gather and organise complementary expertise and capabilities to answer the project objectives. It is formed by two SMEs, CGX AERO (coordinator) and Metsafe; DSNA Services, the expertise and consultancy office of the French civil aviation; two universities, ENAC and UPC; and Eurocontrol, all supported by an internal advisory board composed of active pilots from large and low-cost airline, Aviation, Accident and Investigation, Human Factors and ATM experts, from the French Civil Aviation Authority, and Military pilots, human factors and flight dynamics experts from the French Air Force Academy.

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  • Funder: French National Research Agency (ANR) Project Code: ANR-05-RNTS-0012
    Funder Contribution: 656,754 EUR
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