AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Future dAta Services and applicaTions for airports and Network

CORDIS · observation · Publication date unknown

velopment of the following two solutions: - Solution 1: Enhanced AOPs-NOP Tactical planning, with the inclusion of an “airport-to-airport(s)"" AOP to AOP collaborative planning process and the use of artificial intelligence. The solution aims to extend the consolidated Demand and Capacity Balancing (DCB) process amongst airports and NM. In this context, it will include an “airport-to-airport(s)” collaborative planning process, prior to the “airport-to-network” process, for performance benefits of all connected airports and the network, such as improved punctuality, optimized use of ground and airspace capacity, thus leading to higher network efficiency. - Solution 2: AOP-NOP Strategic and pre-tactical planning. This solution aims to extend the timeframe of the AOP-NOP integration, focusing on the strategic (from months in advance until D-7) and pre-tactical (D-7; D-1) planning phases to ensure a smooth transition towards tactical phase with reduced adjustments. Both Solutions 1 and 2 involve the extension of state-of-the-art technologies to integrate new datasets available at local l

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recordType
award
status
SIGNED
region
EU
value
4803147.13
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.