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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