If you are a micro-mobility provider dealing with high accident rates in city centers — this project developed safe routing and on-vehicle sensors that minimize risky behaviors. This helps reduce liability and improves user safety for the 70% of urban fatalities that are vulnerable road users.
AI-Driven Urban Safety Intelligence for Pedestrians, Cyclists and Micro-Mobility Services
Imagine a city where your phone or scooter warns you about a hidden danger before you see it, and cars automatically know where the most vulnerable people are. It's like a digital guardian angel for the streets that uses sensors and smart maps to prevent accidents. The goal is to make city travel safe for everyone, especially the elderly and those on small electric wheels.
What needed solving
Urban road fatalities remain high, specifically for pedestrians and micro-mobility users, because current traffic systems cannot predict the complex behaviors of vulnerable road users in real-time.
What was built
A suite of AI-driven analytics for accident prediction, a safe mobility data space, on-vehicle sensors, and user-facing apps for risk-free routing.
Who needs this
Who can put this to work
If you are a city planner dealing with congested and dangerous intersections — this project developed accident prediction analytics and simulation tools. These allow you to design safer public spaces based on actual behavioral data from 8 different cities.
If you are a vehicle manufacturer dealing with the difficulty of detecting small, fast-moving urban objects — this project developed a safe mobility data space and VRU visibility services. This improves the ability of motorized vehicles to detect and avoid collisions with vulnerable road users.
Quick answers
What is the cost or pricing model for these services?
Based on available project data, specific pricing or commercial costs are not mentioned as this is a research and innovation action.
Can this be scaled to other cities?
Yes, the project is already validated across a network of 8 cities and 4 thematic demonstrations in Germany, Greece, Spain, and the UK.
Who owns the IP and how is licensing handled?
Based on available project data, the specific IP and licensing terms are not disclosed, though it involves a consortium of 17 partners.
How does this integrate with existing city traffic systems?
The project uses C-ITS (Cooperative Intelligent Transport Systems) and a platform of interconnected services to integrate with urban environments.
What is the timeline for the final production release?
The project period ends on 2026-04-30, with a production release of simulation and analytics services planned as a final deliverable.
Who built it
The project is heavily industry-driven, with 11 industrial partners (65% ratio), including 6 SMEs. This high concentration of commercial entities, led by Netcompany S.A., suggests a strong focus on creating a marketable product rather than purely academic research. The geographical spread across 7 European countries ensures the solutions are tested against diverse urban regulatory environments.
Contact NETCOMPANY S.A. in Luxembourg
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Contact us to explore licensing opportunities for the SOTERIA safety analytics suite.