The picture at Zagreb Franjo Tuđman
A shared departure plan requires participation
Collaborative decision-making relies on the airline, handler and airport using consistent milestones for the same aircraft turn. A predictive tool may help with the next timestamp, but only after the basic shared record is dependable.
Zagreb and EMMA described their agreement in 2024, following earlier trade reporting. The supplier says its system uses historical and current traffic patterns to predict operational constraints. The airport's chief operations officer spoke about improving coordination and resource use.
The agreement has a named airport buyer and operational purpose. Its present evidence remains a contract-stage account; it does not provide an accepted installation date or airline-side result.
Selected implementations
Predicting milestones in the airport plan
01 / Reported · unverified
An A-CDM platform intended to predict pressure
The operational problem
A late ground-handling milestone can undermine departure sequencing when the parties work from incompatible estimates.
What the sources report
EMMA Systems and Zagreb Airport announced their A-CDM collaboration in July 2024. The supplier describes AI forecasting of traffic and operational hindrances.
Why it matters
If commissioned, the system could help a shared operations team anticipate conflicts and coordinate responses.
What remains unprovenAirport-confirmed go-live, participating organisations, forecast validation and changes in aircraft delay are not established.
Sources and verification (2)
The wider register
What else is happening at Zagreb Franjo Tuđman?
This is the airport's only relevant AI-labelled canonical deployment. A collaboration agreement should not be counted as a live implementation.
No additional publicly listed deployment records.
The next useful source is an airport operating report
The airport's collaboration decision is meaningful. Evidence that the forecasts are used in departures planning would be the point at which this becomes a stronger operational AI story.