iFly - Safety, Complexity and Responsibility based design and validation of highly automated Air Traffic Management
EU Research FP6
DEIB Role: Partner
Start date: 2007-05-22
Length: 51 months
Project abstract
iFly is a STREP (specific targeted research project) within the thematic area Aeronautics and Space of the 6th Framework Programme, funded by the European Commission under contract n. TREN/07/FP6AE/S07.71574/037180. It is a 51 months project that started in May 2007. The objective of iFly was to develop both an advanced airborne self-separation design and a highly automated ATM design for en-route traffic, which was aimed to manage a three to six times increase in current en-route traffic levels. This incorporated analysis of safety, complexity, and pilot/controller responsibilities, and assessment of ground and airborne system requirements. A systematic exploitation and further development of the advanced mathematical techniques that have emerged within the FP5 project HYBRIDGE appeared fundamental to achieve such a goal.
Project results
PoliMi unit focused mainly on the study and development of methods for the timely prediction of potentially complex traffic conditions that may be over-demanding to the autonomous aircraft design. The characterization of safety-critical encountered situations in terms, for example, of number of aircraft involved and encounter geometry could help in identifying the potential support needs within the autonomous ATM concept.
Deliverable 3.1 entitled “Report on complexity metrics applicable to autonomous aircraft” is a critical review of the approaches in the literature to air traffic complexity modelling and prediction.
Novel developments are described in Deliverable 3.2 entitled “Final report on timely prediction of complex conditions for en-route aircraft”.
Deliverable 3.1 entitled “Report on complexity metrics applicable to autonomous aircraft” is a critical review of the approaches in the literature to air traffic complexity modelling and prediction.
Novel developments are described in Deliverable 3.2 entitled “Final report on timely prediction of complex conditions for en-route aircraft”.
