Innovative solutions to predict the behaviour of “unpredictable” small aircraft flights

The key objective of ProGA is to prototype a system that can continually and automatically predict the future flight corridor (a 4D trajectory plus some uncertainty), or the volume of operation, of a light GA aircraft in-flight.

PROJECT: ProGA – Probabilistic 4D trajectories of light General Aviation operations


DURATION: 2013-2015 (CLOSED)




ProGA developed and validated a concept of technologies and systems able to perform two main functions: flight path acquisition and processing, and flight path prediction. The prediction is based on statistics from historical flights in a specific area and shared planned routes of other traffic.


ProGA aims to move beyond instantaneous electronic visibility of traffic towards a traffic picture of future airspace occupation. The following ProGA applications are studied:

  • The presentation of areas of potential high traffic density, both during planning and in-flight
  • The display of predicted conflicts with airborne traffic
  • The display of the predicted future location of airborne traffic



The ProGA prototype consists of an application running on a tablet.


The solution is tested and evaluated during flight simulation sessions with real GA pilots.


Deep Blue leads the design, prototyping, and evaluation of ProGA solution.


We develop the algorithms and the logic behind:


  • the collection of data coming from General Aviation,
  • their statistical analysis, aimed at the identification of recurrent patterns or “predictable” behaviours,
  • the real-time elaboration of the traffic scenario and the presentation of relevant information.


We are responsible of the design, development and evaluation of a usable and suitable HMI, involving GA pilots in the process, as final users of the ProGA solution.



  • Different GA pilot tested the ProGA solution at Deep Blue premises, with a good feedback about its functionalities, usability and domain suitability (see D-2.2 in the project website).
  • ProGA paper “Predicting the future location of a General Aviation Aircraft” has been awarded as best paper in its category at the ICRAT 2014 International Conference on Research in Air Transportation in Istanbul.
  • Deep Blue considers analysis and visualization of big data as the main driver for the development of innovative solutions to enhance safety and efficiency in General Aviation.

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