The airport regulations are then integrated into the Network Manager Operations Center (NMOC) up to 30 hours before the operations. Regulation Outlook AI uses information from airport events in NM’s “Airport Corner” and from NOTAMs, as well as weather and traffic forecasts to estimate the likelihood of a regulation being required at any of the network’s busiest airports. It already predicts the hours when regulations are more likely - with 84 % accuracy.
The AI models currently used, essentially deep neural networks, are of such complexity that it is practically impossible to understand their inner workings. Regulation outlook addresses concerns about “AI explainability” by providing the rationale behind the prediction, be it atmospheric phenomena, industrial action, works in progress at the airport, over demand, etc.
The results and details of the predictions are embedded in the Airport Function Dashboard, providing the Airport Function with an integrated view in pre-tactical and tactical time frames.