SciTransfer
Organization

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.

University research grouptransportRSNo active H2020 projects
H2020 projects
12
As coordinator
2
Total EC funding
€1.7M
Unique partners
82
What they do

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.

Core expertise

What they specialise in

Air traffic management and ATM network optimizationprimary
5 projects

Core contributor across COCTA, APACHE, CADENZA, FARO, and Engage — covering capacity management, performance assessment, and ATM knowledge transfer.

Aviation safety and resilience engineeringprimary
2 projects

FARO developed safety performance functions using resilience engineering principles; APACHE assessed ATM operational performance.

Transport data analytics and machine learningsecondary
3 projects

NOESIS focused on big data investment in transport; FARO applied machine learning to safety data; CADENZA used data-driven demand management.

Multimodal transport and mobility servicessecondary
3 projects

SYN AIR explored co-modality and MaaS concepts; TRACE tracked cycling and walking; INTEND mapped future transport research needs.

Transport policy and open sciencesecondary
2 projects

DIAMOND addressed gender inclusion in transport systems; BE OPEN promoted open science practices in transport research.

Evolution & trajectory

How they've shifted over time

Early focus
Broad transport and ATM assessment
Recent focus
SESAR ATM safety and data analytics

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.

Collaboration profile

How they like to work

Role: active_partnerReach: European22 countries collaborated

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.

Why partner with them

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.

Notable projects

Highlights from their portfolio

  • CADENZA
    Their largest-funded project (EUR 285K) and a coordinator role — focused on advanced capacity and demand management for European ATM network optimization.
  • FARO
    Represents their pivot toward AI in aviation safety, combining resilience engineering with machine learning and data analytics for SESAR safety guidelines.
  • SYN AIR
    Their second-largest funding (EUR 237K), exploring multimodal transport integration with smart contracts and MaaS — showing capability beyond pure ATM.
Cross-sector capabilities
Digital technologies and AI (machine learning for safety analytics)Data science and big data (transport data infrastructure and decision support)Smart mobility and urban systems (MaaS, cycling, multimodal transport)Gender and social inclusion in technology systems
Analysis note: Strong profile with 12 projects and clear thematic coherence around ATM/SESAR. Early-period keyword data was empty in the source, so evolution analysis relies on project titles and dates rather than explicit keyword comparison. Website domain (.bg.ac.yu) uses the obsolete Yugoslav TLD, suggesting the listed URL may be outdated.