SOURCE-LINKED INTELLIGENCE
PARADISE – the Airport Platform of the Future
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.