Task 3.3

This task will cover model training using machine learning methods and algorithms chosen in Task 3.1. Training will be performed on datasets
generated in the previous task, resulting in trajectory prediction model which can help preparing better traffic demand forecast.


Task 3.4

In this task further AI techniques would be introduced to take into account both internal (traffic related)
and external (related to meteo situations, emergency events, etc.) variables. The expected goal is reducing uncertainty of
 flight counts within sectors using the resulting model based on integrating trajectory prediction with meteorological and other external data.