Bicycle counting
Every cyclist, every direction, around the clock. Continuous anonymous counting for cycle paths, bridges, junctions and streets, on the same privacy-first platform as our footfall analytics.
Cycling policy runs on counts nobody has
Cities invest heavily in cycling infrastructure and then evaluate it with occasional manual counts: a clipboard on a bridge, two mornings in September. Decisions about lane widths, snow clearing priorities, signal timing and new routes deserve better evidence than a sample.
Continuous bicycle counting closes that gap. A LiDAR sensor covering a path, bridge or junction counts every passing cyclist by direction, around the clock, in any light, and delivers the series as anonymous statistics: no camera, no images, no personal data. For public space, that last part is not a detail. It is what makes the measurement politically and legally durable.
From a single bridge to a network view
Bicycle counting is strongest when it is not alone. The same platform that carries our footfall analytics for city centres carries cycle counts too, so pedestrian flows, vehicle traffic and cyclists can be read against each other on the same timeline: what happened to cycling when the street was pedestrianised, how mode balance shifts with weather and season, which routes carry the commute and which carry the weekend.
Book a demo and we’ll show what continuous bicycle counting delivers on a route like yours, or tell us which network you want measured and we’ll come back with a plan.
Why count bicycles with Bumbee Labs
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Direction, hour, season
Counts by direction and time of day reveal commuter flows, weekend patterns and the effect of new infrastructure, continuously rather than through occasional manual counts.
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Anonymous by design
LiDAR measures moving geometry, not images. No camera footage is required, no personal data is produced, and the anti-surveillance bar public space demands is met by physics.
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One platform with your other flows
Bicycle counts land in the same dashboards and API as pedestrian and vehicle measurements, so a street's whole movement picture lives in one place.
We have extensively evaluated Bumbee Labs' solution and the quality insights they produce, in combination with the efficiency of the remote installation process, make this a valuable collaboration. This alliance presents a great opportunity for our distribution ecosystem to provide a variety of service offerings to their customers, opening up new revenue streams.
Frequently asked questions
How does LiDAR-based bicycle counting work?
The sensor sweeps the measured area with eye-safe laser pulses and builds a live 3D picture of moving objects. Cyclists are recognised as moving clusters with characteristic size and speed, counted by direction, and delivered as anonymous statistics. No images exist at any point.
Does it work at night and in bad weather?
Yes. Laser measurement is independent of lighting, so the count at 03:00 in November is as solid as the one at noon in June. We configure and validate every deployment for the environment it will run in, so weather is an input to the setup, not a gap in your data.
Can bicycles, pedestrians and vehicles be measured together?
Yes, and that is where it gets powerful. The same measurement platform separates classes of movement, so a street or bridge reports cyclists, pedestrians and vehicles as distinct series in one dashboard: the full movement picture of the space, not a third of it.