Method for Generating Explainable Deep Learning Models in the Context of Air Traffic Management

Intrinsic Explainable Self-Enforcing Networks Using the ICON-D2-Ensemble Prediction System for Runway Configurations

“…A big challenge remains regarding the explainability of the results in the context of ATM [5,[25][26][27]. According to Degas et al [28], the problem for responsible end users in ATM is that the results are difficult to understand or are not transparent for safety-critical areas such as air traffic.…”