Predictive Road Safety Digital Twin for Cities

DIRIGENT AI

A real-time, AI-powered digital twin that forecasts road risk
before incidents happen and helps cities apply targeted interventions
from traffic control optimisation to VRU protection

Solution

A real-time digital twin that predicts risk and supports action

DIRIGENT AI fuses heterogeneous data streams into a live digital twin of the road network and applies predictive AI to estimate safety risk across the city. The platform highlights where risk is rising, explains why, and recommends feasible interventions that can be deployed in a controlled manner

Risk now / risk next

Junctions, segments, corridors

Explainable insights

Understand why risk is changing

Action recommendations

what to do and where, with expected impact

How it works

Integrate data

Connect traffic control assets and mobility feeds, normalise formats, monitor quality

Build the digital twin

A multi-layer, real-time model of roads, junctions, events and infrastructure states

Forecast risk with AI

Predictive models estimate probabilistic risk and surrogate safety indicators

Recommend interventions & learn

Suggest measures, track outcomes, and continuously improve from measured impact

Innovation

Why this is different

Predictive safety control

instead of reactive incident response

Closed-loop learning

Risk → intervention → measured impact → improvement

City onboarding toolkit

multi-tenant platform designed for replication

Future-ready outputs

V2X-compatible messaging where infrastructure allows

Explainable AI

Supports transparent operational decisions

Consortium Partners

DIRIGENT AI is being prepared for multi-city pilots across Europe, combining city operators, research organisations and technical partners to validate real-world feasibility and replication.