NIRA Dynamics
NIRA Dynamics – Turning connected vehicle data into proactive road safety
At NIRA Dynamics, we believe road safety should be based on what is actually happening on the road – not only on historical accident statistics, periodic surveys or assumptions.
Millions of connected vehicles generate continuous information about how drivers, vehicles and roads interact. NIRA transforms this real-world vehicle data into actionable road safety intelligence, helping road authorities identify emerging risks, understand driver behaviour and prioritise interventions before incidents occur.
Our Road Safety solution provides a continuously updated view of the road network, combining indicators such as speed behaviour, harsh braking, grip and road surface conditions to reveal locations where the safety margin may be decreasing.
This enables road authorities to move from reactive analysis to proactive prevention: identifying potential high-risk locations, understanding what is contributing to the risk, and directing resources towards the roads where action can have the greatest impact.
But identifying risk is only part of the challenge. Connected vehicle data can also help authorities measure the effect of an intervention. Changes to speed limits, signage, road layouts, maintenance or other safety measures can be evaluated using real traffic behaviour before and after implementation – creating an objective feedback loop for continuous improvement.
At NRSC 2026, NIRA will demonstrate how connected vehicle intelligence can support a new approach to road safety:
• Identify risk. Prioritise action. Measure the impact. Improve continuously.
With more than 2 million connected vehicles contributing data, NIRA turns everyday journeys into a continuously evolving picture of road safety – helping authorities make better-informed decisions and supporting the ambition of Vision Zero. NIRA's current company material describes this connected fleet as turning movement into measurable intelligence and cites 2M+ connected vehicles contributing data.
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