Traffic & mobility
Know what is using the road. And how.
Automated vehicle counts, classification and speed monitoring for roads, junctions and car parks. Build evidence for transport planning, traffic calming and active travel without reading number plates.
| Entry | Exit | |
|---|---|---|
| Arm 1 | 0 | 0 |
| Arm 2 | 0 | 0 |
| Arm 3 | 0 | 0 |
| To 1 | To 2 | To 3 | Total | |
|---|---|---|---|---|
| From 1 | 0 | 0 | 0 | 0 |
| From 2 | 0 | 0 | 0 | 0 |
| From 3 | 0 | 0 | 0 | 0 |
- Car
- 0
- Utility
- 0
- Bus
- 0
- Bicycle
- 0
The lines are placed on the camera view in software. Each crossing records the vehicle's type, direction and time, and a vehicle's entry and exit make one journey: Entry 1 to Exit 2 adds one to that turning movement. Speed needs a calibrated view.
Type. Direction. Time. Context.
See which vehicles use the road, when they pass and which routes they take through a junction, in dashboards, reports and CSV exports.
Vehicle classes
Cars, buses, motorcycles and bicycles. Vans, HGVs, trucks and service vehicles share one utility class, and pedestrians are counted for active travel studies.
Directional flow
Counts in each direction, journeys and turning movements through a junction, and queue lengths, with peak hours and historical patterns over repeatable reporting periods.
Calibrated speed
Speeds in a calibrated zone against your thresholds, to review traffic calming.
Alerts
Sent in near real time. Rules are set per device and location, and custom alert types can be scoped for your workflow.
- No activity
- No vehicles detected at a monitored location for a set period.
- No vehicles
- Expected traffic has stopped, from a road closure, an access problem or a change in the camera view.
- Volume threshold
- The vehicle count passes a set limit within a time window.
- Speed violation
- A vehicle passes the threshold in a calibrated speed zone.
Edinburgh, in daylight and after dark.
Two films of the traffic model at work, shot from a drone at lamppost height above the junction of Old Dalkeith Road and The Wisp.
A model built for the view from above.
The traffic model is custom-trained for UK monitoring conditions, rather than relying only on eye-level photographs.
Elevated and oblique views
Trained on roof profiles and along-road, side-on and oblique junction views, including distant vehicles that fill little of the frame.
A consistent utility class
Vans, trucks and service vehicles are grouped consistently, not split by incompatible commercial-vehicle labels.
Partial visibility and tracking
Training covers vehicles partly hidden at barriers and frame edges; stable tracks reduce duplicate detections and keep counts continuous.
What we check at your site
- Lighting: daylight, dawn, dusk and street-lit night, sodium and LED.
- Weather: rain, fog, mist, wet-road reflections, glare and backlight.
- Camera position: height, angle and distance, typically a lamppost 5 to 10 metres above an urban or A-road.
- Traffic: free-flowing, congested and queuing, with cyclists and pedestrians in the view.
Light, weather, camera angle and hidden vehicles all affect accuracy, so a site pilot checks it in the conditions you expect.
From a survey to a better road decision.
Traffic surveys
Automated counts by vehicle type, direction and time of day, in place of time-limited manual counts.
Traffic calming
Find speeding hotspots, build evidence from speed data and compare interventions.
Junction analysis
Turning movements and queue lengths for signal timing, capacity and safety reviews.
Car park monitoring
Entry and exit counts, occupancy trends and turnover for capacity and pricing.
Active travel
Cyclists and pedestrians counted alongside vehicles to inform investment.
Construction impact
Roadworks, changing traffic patterns and diversions, planned from observed data.