SIMBAD advanced the state-of-the-art in three main areas:
- Development of new techniques for better estimation of hidden variables, which provide new knowledge on airspace user preferences and constraints, helping understand the actual performance impact of new ATM concepts or solutions on airspace users.
- Development of new techniques for the comprehensive multi-scale classification of traffic patterns in the ECAC area, which enables an enhanced understanding of the performance impact of a certain operational concept under different traffic conditions, thus facilitating more accurate and comprehensive cost-benefit analyses.
- Introduction to active learning metamodelling techniques in ATM, which can be used to translate a complex ATM simulation model into a performance metamodel, improving computational tractability and interpretability of results by allowing a more efficient exploration of the simulator’s behaviour.
The SIMBAD Performance Modelling Framework facilitates a more comprehensive, accurate, and efficient assessment of the performance impact of new ATM solutions/concepts, thus having a positive impact across all the SESAR KPAs and ultimately on the achievement of the ATM Master Plan performance ambitions: Environment, Capacity, Cost Efficiency, Operational Efficiency, Safety and Security.