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datACRON · Project

Real-Time Fleet Tracking and Threat Detection for Aviation and Maritime Operations

transportTestedTRL 6

Imagine you're running air traffic control or a shipping port, and you need to track thousands of planes or ships at once — spotting the one that's going off course before something goes wrong. datACRON built a big-data system that watches massive fleets in real time, predicts where each vessel or aircraft is heading, and flags anything unusual. Think of it like a smart security camera for the sky and the sea, but instead of video, it crunches location data, weather, regulations, and planned routes all at once.

By the numbers
EUR 3,993,835
EU funding for development
9
Consortium partners
6
Countries represented
27
Total deliverables produced
2
Integrated prototype versions delivered (interim and final)
The business problem

What needed solving

Companies managing large fleets of aircraft, ships, or vehicles across wide areas struggle to process massive volumes of real-time location data fast enough to detect threats, route deviations, or abnormal behavior before incidents occur. Traditional surveillance systems cannot correlate live tracking streams with planned routes, weather, regulations, and historical patterns at the speed and scale required for timely decision-making.

The solution

What was built

The project built a final integrated prototype system for real-time trajectory prediction and abnormal activity detection across large moving fleets. It produced 27 deliverables total, including advanced visual analytics methods and big-data processing capabilities validated in both air traffic management and maritime use cases.

Audience

Who needs this

Air navigation service providers (e.g., EUROCONTROL member agencies)Maritime surveillance authorities and coast guardsLarge shipping and freight companies with fleet monitoring needsAirport operators managing ground and air trafficDefense and border security agencies tracking vessel movements
Business applications

Who can put this to work

Aviation & Air Traffic Management
enterprise
Target: Air navigation service providers and airport operators

If you are an air navigation service provider dealing with increasing air traffic volumes and the need to detect route deviations early — this project developed an integrated prototype that processes multiple real-time data streams from aircraft fleets to predict trajectories and flag abnormal activity. The system was validated in air traffic management challenges with 9 consortium partners across 6 countries.

Maritime Shipping & Port Operations
enterprise
Target: Shipping companies and maritime surveillance authorities

If you are a maritime authority or shipping company struggling to monitor large vessel fleets across wide sea areas — this project built a system that correlates live ship tracking data with planned routes, weather, and regulations to detect threats and predict vessel movements in real time. The final integrated prototype was specifically designed for maritime domain operations.

Logistics & Supply Chain
mid-size
Target: Fleet management and logistics companies

If you are a logistics company managing large vehicle or cargo fleets and need to predict delays or spot unusual routing — this project developed big-data analytics that process noisy, high-volume location streams from moving entities and correlate them with geographical information and mobility patterns. The technology was built to handle very large fleets spread across large geographical areas.

Frequently asked

Quick answers

What would it cost to license or adopt this technology?

The project received EUR 3,993,835 in EU funding across 9 partners over 3 years. Licensing terms would need to be negotiated with the University of Piraeus Research Center as coordinator. Based on available project data, no commercial pricing model has been published.

Can this handle industrial-scale operations with thousands of moving entities?

Yes — the system was specifically designed for very large fleets of moving entities spread across large geographical areas. It processes multiple heterogeneous, voluminous, and fluctuating data streams in real time, which is the core design requirement.

Who owns the intellectual property and how can I access it?

The IP is held by the 9-partner consortium led by the University of Piraeus Research Center. With 2 industry partners and 4 research organizations involved, licensing arrangements would likely require coordination with the consortium. Contact the coordinator for specific IP terms.

Was this tested in real operational environments?

The project validated its technology in user-defined challenges in both Air Traffic Management and Maritime domains. A final integrated prototype was delivered, incorporating feedback from use-case and deployment sites across the consortium.

How does this integrate with existing surveillance and tracking systems?

The system is designed to ingest multiple heterogeneous data streams — including entity characteristics, geographical information, mobility patterns, regulations, and intentional data such as planned routes. Based on available project data, it correlates live streams with archived data sources.

What is the project timeline and current status?

The project ran from January 2016 to December 2018 and is now closed. It produced 27 deliverables including a final integrated prototype. Any further development would depend on follow-up initiatives by consortium partners.

Consortium

Who built it

The datACRON consortium comprises 9 partners from 6 countries (Belgium, Germany, Greece, Spain, France, UK), with a balanced mix of 3 universities, 4 research organizations, and 2 industry partners (22% industry ratio). The project includes 1 SME. Led by the University of Piraeus Research Center in Greece, the consortium is research-heavy, which means the technology is academically robust but may need additional commercial partners to bring it to market. The multi-country spread across major European aviation and maritime nations adds credibility for cross-border operations.

How to reach the team

University of Piraeus Research Center (Greece) — use SciTransfer to get a warm introduction to the project coordinator

Next steps

Talk to the team behind this work.

Want to explore how datACRON's fleet analytics could work for your operations? SciTransfer can connect you directly with the research team and help evaluate fit for your use case.

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