The WINFC (Weather INformation Fusion and Correlation for weather and traffic situational awareness) project was aimed at the development of an adaptive data processing module that, once on board, will collect and process information coming from weather and traffic data providers. The module was designed in order to collect data, produce an awareness map (integrating weather changes and traffic changes during the aircraft flight) and an updated weather map. The awareness map is a risk map that can be used by the pilot to immediately detect hazard conditions no matters whether they depends on weather or traffic changes.

The main project objective is the development of a SW tool implementing data fusion algorithms for the data directly coming from the present and future expected weather information sources with different reliability, accuracy and timeliness aimed to provide in output an objective measurement of the hazard faced by the aircraft input to the trajectory optimization algorithms. The project developed: the study of the information sources in case of un-forecasted events (weather changes, traffic congestion, runway unavailabilties) a feasibility study of new methods for direct and/or un-direct weather measurement systems based on satellite signals, the data fusion algorithms of the information coming from different sources aimed to get the maximum situational awareness about new un-forecast events, a SW simulation tool for simulating the information delivery from the different sources, the definition of unbiased threat/importance factor(s) to be deployed to the pilot for helping in his decision making process and to be used as weight parameter(s) input in Q-AI trajectory and mission optimisation algorithms.