- Project ID PJ02 W2 AART
- Project duration 2019-12-01 > 2022-12-31
- Total EUR 41 992 178,74
- EU Contr. EUR 10 628 009,21
- Status Ongoing
To improve the efficiency and resilience of arrival and departure operations at capacity constrained airports and access to secondary airports, the project will addresses human, technical, procedural and performance aspects of the following proposed improvements:
• Advanced geometric GNSS based procedures in the TMA: enhancing TMA efficiency using more GNSS and advanced PBN curved for arrival and departure operations. This covers the development of new support tools for ATC and airspace design concepts will enable greater usage of CDO.
• Evolution of separation minima for increased runway throughput: refining separation minima as a function of the operational conditions. The most constraining minima (wake, runway occupancy,etc) to be applied will be determined and ATCO support tool further developed for better separations delivery including separation delegation to the flight crew.
• Improved access to secondary airports: enhancing availability and accessibility of airports with limited infrastructure in low visibility conditions. Alternative ground surveillance will increase runway safety and will include both ATC and A-FIS requirements as a more cost-efficient and flexible ATS provision. From an airborne perspective, enhanced flight vision system and synthetic vision guidance system, combined vision system and LPV-100 capability will enable approach and landing.
• Digital evolution of integrated surface management: extending the A-SMGCS routing functions will improve tactical conflict management in the taxi phase. Optimised routing and planning will deliver more accurate taxi times, improve predictability, minimise delays and controller workload. Automation, A-CDM and datalink will support conflict management.
• Safety support tools for avoiding runway excursions: detecting, preventing and alerting risks of runway excursions by synchronising air-ground information exchange about runway surface condition.
This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 874477