Core contributor across COCTA, APACHE, CADENZA, FARO, and Engage — covering capacity management, performance assessment, and ATM knowledge transfer.
Univerzitet u Beogradu - Saobracajni fakultet
Belgrade-based transport faculty specializing in air traffic management, ATM capacity optimization, and data-driven aviation safety within the SESAR framework.
Their core work
The Faculty of Transport and Traffic Engineering at the University of Belgrade is Serbia's leading academic institution for transport systems research, with deep specialization in air traffic management (ATM) and European airspace optimization. They develop capacity and demand management models for ATM networks, apply data analytics and machine learning to aviation safety, and contribute to SESAR — the EU's programme for modernizing European air traffic control. Beyond aviation, they work on multimodal transport integration, mobility-as-a-service concepts, and transport data infrastructure.
What they specialise in
FARO developed safety performance functions using resilience engineering principles; APACHE assessed ATM operational performance.
NOESIS focused on big data investment in transport; FARO applied machine learning to safety data; CADENZA used data-driven demand management.
SYN AIR explored co-modality and MaaS concepts; TRACE tracked cycling and walking; INTEND mapped future transport research needs.
DIAMOND addressed gender inclusion in transport systems; BE OPEN promoted open science practices in transport research.
How they've shifted over time
In the early period (2015–2018), FTTE worked across diverse transport topics — cycling tracking (TRACE), transport automation (AUTOPACE), and broad ATM performance assessment (APACHE, COCTA). From 2019 onward, their focus sharpened decisively toward SESAR-aligned ATM research, aviation safety analytics, and data-driven airspace management (FARO, CADENZA, SYN AIR). The recent keyword cluster — resilience engineering, machine learning, digitalisation — signals a clear pivot from traditional transport modelling toward computational and data-intensive approaches to ATM.
FTTE is moving toward AI-driven aviation safety and digital ATM management, making them an increasingly relevant partner for SESAR 3 and Digital European Sky initiatives.
How they like to work
FTTE operates primarily as a participant (9 of 12 projects) but has demonstrated coordination capability in ATM-specific projects (COCTA, CADENZA), both of which involved airspace capacity optimization. With 82 unique partners across 22 countries, they maintain a wide European network rather than relying on a small circle of repeat collaborators. This breadth, combined with their consistent participation in CSA and RIA projects, suggests they are a flexible, well-connected academic partner comfortable in both research-intensive and coordination-support roles.
FTTE has collaborated with 82 distinct partners across 22 countries, reflecting strong pan-European integration despite being based in a non-EU member state. Their network is particularly dense within the SESAR and aviation research community.
What sets them apart
As one of very few Western Balkan institutions deeply embedded in the SESAR research ecosystem, FTTE offers a rare combination: strong ATM expertise at competitive cost, with proven ability to coordinate EU projects from a non-EU country. Their dual capability in both traditional transport engineering and emerging data analytics makes them a versatile partner who can bridge classical aviation modelling with machine learning approaches. For consortium builders, they also bring geographic diversity that strengthens proposals targeting broader European inclusion.
Highlights from their portfolio
- CADENZATheir largest-funded project (EUR 285K) and a coordinator role — focused on advanced capacity and demand management for European ATM network optimization.
- FARORepresents their pivot toward AI in aviation safety, combining resilience engineering with machine learning and data analytics for SESAR safety guidelines.
- SYN AIRTheir second-largest funding (EUR 237K), exploring multimodal transport integration with smart contracts and MaaS — showing capability beyond pure ATM.