Abstract
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 in a risk assessment cycle of a future A-SMGCS level 3 supported taxiing into position and hold operation. Accident risk results have been obtained by Monte Carlo simulations of a multi-agent dynamic risk model. The uncertainty in the risk has been evaluated using sensitivity analysis and feedback of operational experts.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
