Author: Rita Banon

ORCI brings together four partners with different backgrounds and areas of expertise, all working towards a common goal: exploring how artificial intelligence can support air traffic controllers in managing aircraft arrivals. From AI development and simulation to real operational experience, each partner plays an important role in bringing the project together. ISA Software As project… Read more

The ORCI project has received the Exploratory Research Award at the Digital European Sky Awards 2026, recognising its innovative use of artificial intelligence to support air traffic controllers in managing aircraft arrivals. The award was announced on 12 October 2026 during the SESAR Joint Undertaking Annual Conference in Brussels, which brought together representatives from across… Read more

On 29 September 2026, ORCI joined forces with the TADA and AWARE projects for a joint online event focused on artificial intelligence and its potential to support air traffic management. The event brought together the three research projects to share their work, exchange experiences and discuss how AI-based tools can support different aspects of air… Read more

As air traffic demand continues to grow, arrival management operations are becoming increasingly complex. Air traffic controllers must ensure safe separation while maintaining efficient and predictable arrival flows, often under conditions of uncertainty and high workload. In this context, the future of air traffic management is expected to rely more heavily on data-driven and predictive… Read more

During 2025, the ORCI project was presented at two important research events in the aerospace and air traffic management research community. These events provided valuable opportunities to share the project’s progress and exchange ideas with researchers, industry experts, and operational stakeholders. The first presentation took place at the 15th EASN International Conference, held in October… Read more

The ORCI project explores new approaches to improve aircraft spacing prediction in arrival operations. By leveraging data-driven techniques, ORCI aims to provide more accurate predictions of the distance between aircraft, supporting more efficient and reliable air traffic management. Accurate aircraft spacing is essential for safe and efficient operations in busy airspace. Air traffic controllers must… Read more