WP3 Collaborative Trajectory Prediction is devoted to unveil the complexity to be
considered in a trajectory prediction due to the influence of the surrounding traffic. Relying
on the individual predictions provided by WP2, the application of reinforcement learning
algorithms in an agent-based trajectory prediction framework will be studied in order to
obtain improvement predictions thanks to the consideration of ATM network effects. The
following specific research objectives will be addressed in this WP: SRO4; SRO5; and
SRO7.