Urban Planning£1,800/mo
Active-Travel Analytics
Challenge
Councils need robust pedestrian and cycle movement evidence for active-travel funding bids, but manual counts are expensive, episodic, and limited in coverage. Inconsistent methodologies weaken baseline quality and make it harder to prove measurable post-intervention impact.
Solution
Active-Travel Analytics uses AI video analysis on traffic-camera feeds to produce continuous, standardised counts and trend insights for cyclists and pedestrians. Planning teams gain defensible, automated evidence for funding applications, scheme prioritisation, and outcomes reporting.
Key Features
Multi-object tracking models classify cyclists and pedestrians per frame, then aggregate direction-aware counts by corridor and time band
Data quality controls detect occlusion, low-light degradation, and camera drift, with confidence scoring exposed in analyst dashboards
Automated reporting pipelines generate bid-ready baseline and before-after impact packs aligned to Active Travel programme metrics