SciTransfer
SMARTIN · Project

AI-Driven Digital Platform for Smarter Urban Transport Infrastructure Management

transportPilotedTRL 6

Imagine if a city's roads and bridges could talk to a central brain, warning managers exactly when a part is about to break or where traffic is jamming. It's like giving a city a digital twin that predicts problems before they happen. This helps people get around faster and keeps the city running smoothly without unexpected closures.

By the numbers
4,999,725
EU Contribution in EUR
4
Representative European cities for demonstration
17
Total partners
The business problem

What needed solving

Urban transport infrastructure is often managed reactively, leading to traffic disruptions, high maintenance costs, and inefficient multimodal transitions. Current systems lack the integrated data needed to predict failures or optimize flow in real-time.

The solution

What was built

A connectivity platform for digitalizing infrastructure assets and AI-driven analytics for proactive incident detection and maintenance management.

Audience

Who needs this

City Transport DepartmentsInfrastructure Asset ManagersUrban Mobility Service ProvidersSmart City Technology Integrators
Business applications

Who can put this to work

Urban Planning
enterprise
Target: Municipal Transport Authority

If you are a municipal transport authority dealing with frequent traffic disruptions — this project developed a connectivity platform that optimizes mobility and reduces emissions.

Infrastructure Maintenance
mid-size
Target: Civil Engineering Firm

If you are a civil engineering firm dealing with reactive, costly repairs — this project developed AI-driven analytics for predictive maintenance to detect incidents proactively.

Software as a Service (SaaS)
SME
Target: Mobility App Developer

If you are a mobility app developer dealing with fragmented transit data — this project developed a digital infrastructure architecture that improves multimodality for users.

Frequently asked

Quick answers

What is the cost or pricing for this solution?

Based on available project data, there is no specific commercial pricing listed, though the EU is contributing EUR 4,999,725 to the development.

Can this be scaled to an industrial level?

Yes, the project is demonstrating its innovations across 4 representative European cities to prove scalability in urban environments.

How is the IP and licensing handled?

Based on available project data, specific licensing terms are not provided, but the project involves a consortium of 17 partners including 6 SMEs.

What is the implementation timeline?

The project runs from 2025-07-01 to 2028-06-30.

How does this integrate with existing city systems?

It uses a connectivity platform and AI-driven analytics to fuse monitoring data from different geospatial resolutions into an operational architecture.

Consortium

Who built it

The project is backed by a diverse group of 17 partners across 7 countries. With a 35% industry ratio (6 companies, including 6 SMEs), there is a strong commercial drive to ensure the digital tools are practical. The mix of 3 universities and 4 research organizations ensures the AI analytics are grounded in scientific rigor while the 'Other' category (4 partners) likely includes the city authorities needed for the 4 urban demonstrations.

How to reach the team

Contact the European Road Transport Telematics Implementation Coordination Organisation (ITS & Services Europe) in Belgium.

Next steps

Talk to the team behind this work.

Contact us to connect with the SMARTIN consortium for early adoption opportunities.

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