Peak conditions are under-represented
The interesting hours are a small fraction of the footage.
Flow, incidents and adaptive signalling
AI Data for Traffic Management
Traffic models are judged on the worst hour of the day, not the average one. We build datasets that contain that hour.
Data for the Junctions That Matter
Free-flowing traffic is easy for a model and easy to collect. Congestion, incidents and unusual manoeuvres are where the value is and where the data is thin. We sample and label deliberately against the conditions your control system actually has to handle.
Where Traffic Management AI Programmes Struggle
Camera estates are inconsistent
Angles, resolutions and mountings vary junction to junction.
Occlusion at density
The moment traffic is worth modelling, vehicles start hiding each other.
Weather and night
Detection degrades exactly when incidents rise.
AI Use Cases We Support
Vehicle detection and classification
Counts by class for volume and composition models.
Incident detection
Stopped vehicles, wrong-way movement and debris labelled as events.
Queue and congestion
Queue-length and density annotation for adaptive signal control.
Pedestrian and cyclist safety
Vulnerable road-user detection at crossings and junctions.
ANPR support sets
Plate localisation and legibility grading across conditions.
Turning-movement counts
Trajectory annotation for junction modelling.
Data Types We Handle
- Junction video Fixed-camera footage across time of day and weather.
- Loop and radar sensors Count and speed series aligned to video.
- Trajectory data Tracked paths annotated for manoeuvre type.
- Incident logs Operator records aligned to footage as ground truth.
How We Run the Programme
- Sample by condition Coverage is planned across hour, weather and junction type before any labelling starts.
- Per-camera calibration Guidelines account for each mounting rather than assuming one view.
- Density-tier review Crowded frames get a second pass, because that is where labellers disagree.
- Operator ground truth Control-room incident logs are used to verify event labels.
Build Traffic Management AI on Data You Can Trust
Tell us what you are building and we will come back with a plan, a sample and a price.