Our activities include:
Development of new operational concepts, digital capabilities and technologies to address future air traffic demands and challenges.
Leverage AI-driven concepts and tools to advance ATM in the region.
Regional Collaboration Platform (RCP)
The RCP is a virtual and distributed platform that enables regional partners to jointly explore and assess transboundary ATM concepts.
It supports shared situational awareness of regional weather and flight trajectories to help foster cross-border coordination and collaborative development.
AI-Assisted Air Traffic Flow Management
To develop a prototype AI-assisted ATFM system with enhanced automation to improve the efficiency of air traffic flow in the region.
A system that leverages Multi-Agent Reinforcement Learning (MARL) to optimise resource allocation and demand and capacity balancing in a transparent and equitable manner.
Flexible Extended Arrival Manager
FLEXMAN aims to enhance arrival management by facilitating early sequencing and spacing to optimise air traffic flow in the enroute and terminal manoeuvring area (TMA).
It fosters cross-border cooperation and leverages time-based metering to reduce airspace congestion, increase predictability, and optimise runway utilisation.
Automatic Speech Recognition and Understanding in Air Traffic Control
The project aims to develop artificial intelligence capabilities in speech technology to enhance safety and efficiency in ATC operations.
AI-powered speech engines can translate ATC audio into “meaning” and semantic representations to support applications such as readback error detection, speech-to-text transcription, and ATC workload analyses.
Human-AI Hybrid
Research into HAH methods and processes in the areas of Learning Assurance, Explainable AI, and Human Factors, as a foundational basis for the development and insertion of AI/ML solutions into future ANS systems.
The HAH will enable the development and deployment of digital assistants to enhance controller performance and productivity while reducing controller workload.
Convective Weather and Surface Winds
The Convective Weather Impact Forecast (CWIF) and Storm Induced Runway Reconfiguration Management (STIRR-M) projects enhance decision support in air traffic management and control operations. CWIF visualises impactful weather patterns, anticipates disruptions and recommends mitigation measures.
STIRR-M tracks surface wind trends to support timely planning and execution of runway direction changes, improving operational efficiency.