AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

PARADISE – the Airport Platform of the Future

CORDIS · observation · Publication date unknown

tional planning, enabling more accurate demand forecasting, improved resource allocation, and reduced delays, while maintaining safety and resilience. 2. Optimisation of Runway Throughput: Combining machine learning and aircraft-derived data, this solution improves arrival and departure spacing and sequencing. It integrates enhanced tools to increase runway capacity, reduce fuel burn and emissions, and improve punctuality without requiring additional infrastructure. 3. Intelligent Surface Management: This solution leverages automation, digital ATCO assistants, and enhanced connectivity to optimise surface operations. It supports SESAR Automation Level 4, enabling safer taxiing, reduced controller workload, and improved situational awareness through integrated surveillance and communication systems. 4. Prediction and Optimisation in Adverse Weather: This solution uses sensor fusion, AI, and improved data exchange to optimise planning and operations during severe weather. It enhances turnaround monitoring, de-icing coordination, and dynamic routing, reducing delays and fuel consumpt

Read original source ↗ Open in workspace

recordType
award
status
SIGNED
region
EU
value
11999912.7
unit
EUR

Evidence & attribution

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

License: CORDIS reuse policy

First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.