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Agent-based dynamic risk modelling supports the design of future air traffic operations by risk analysis methods that account for the performance variability of the interacting operators and systems and the resulting emergence of safety occurrences. The paper shows the application of this modelling approach for a future A-SMGCS level 3 supported taxiing into position and hold operation. It provides preliminary risk results, which are obtained by Monte Carlo simulations of a dynamic risk model and by an evaluation of the risk uncertainty using feedback of operational experts.
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