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AI on the apron: why airport operations is moving from experience to live data

Airports are being asked to move more aircraft through the same stands and runways. Huawei used its Shanghai event in September to show how AI-driven milestone detection, forecasting and a single operational picture are changing the way operations centres work.

AI on the apron: why airport operations is moving from experience to live data
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AI on the apron: why airport operations is moving from experience to live data

Airports are increasingly challenged to move more aircraft through existing stands and runways. At Huawei’s Shanghai event in September, demonstrations highlighted how AI-driven milestone detection, forecasting, and a single operational picture are altering the way operations centres function.

The emphasis is on real-time data capabilities to improve sequencing and planning for aircraft movements. Attendees were shown how milestone detection can track key operational events as they happen, supporting more precise situational awareness.

Forecasting tools were presented as part of an integrated approach, aiming to anticipate demand and constraints in airport operations. This supports decision-making within operations centres by providing forward-looking insights.

A single operational picture was demonstrated as a central concept, consolidating information from multiple sources to improve coordination across teams. The approach focuses on consolidating data to streamline day-to-day management of ramp activities.

Overall, the showcased capabilities suggest a shift from relying on experience to leveraging live data and AI for more efficient and coordinated airport operations. The developments were presented in the context of improving throughput at constrained stands and runways.

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