Probabilistic Complexity in support of Airspace Capacity Management Optimisation

The present paper addresses innovative ATM solutions for Demand and Capacity Balance, in particular Dynamic Airspace Configuration. Capacity Management processes in these environments require more critically the use of support complexity metrics tailored to the relevant use cases. An Enhanced Complexity Management including both the improvement of the metrics introducing demand uncertainty and their integration into the overall process is presented. The assessment of this Enhanced Complexity Management is presenting, assessing its technical and operational feasibility and showing its improvements in capacity and cost-efficiency.