Traffic counting
Continuous, anonymous counting of vehicles by direction and time of day, for streets, site entrances and access roads, measured with LiDAR or AI cameras and delivered through the same platform as your people flows.
Arrivals start at the kerb
For a city street, a retail site or a forecourt, the movement story starts before anyone walks through a door: vehicles arriving, passing, turning in or driving on. Most organisations measure that story rarely and roughly, with sampled counts that age quickly.
Continuous traffic counting replaces the sample with a series. A LiDAR sensor or an AI camera covering the measured section counts vehicles by direction, hour and day, and delivers anonymous statistics into the same platform as your footfall data. Counting needs no identity: no number plates are read and no footage is kept for the count.
Traffic against footfall: the conversion nobody measures
The most valuable traffic number is often a ratio. How many vehicles pass a petrol station versus how many stop? How does vehicle arrival at a retail site track against store entries an hour later? Because vehicle counts, bicycle counts and people counts share one timeline in one platform, those questions stop being estimates.
Vehicle counting carries the same anonymous-by-design posture as our public-space footfall work for cities and municipalities. Book a demo and we’ll show vehicle counts running against footfall for a site like yours.
Why count traffic with Bumbee Labs
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Continuous, not sampled
Around-the-clock counts by direction and hour replace occasional tube counts and manual samples, so trends and peaks are measured rather than estimated.
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Anonymous by design
LiDAR-based counting measures moving geometry with no imagery at all, and AI camera counting outputs numbers, not footage. No number plates or identities are needed to count.
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Vehicles and people, one picture
Vehicle counts live in the same dashboards and API as pedestrian, bicycle and footfall data, so a site's whole arrival picture reads as one.
Telia's partnership with Bumbee Labs is important for us to expand our business. It allows us to develop our use cases for location and movement insights to be even more granular. By combining our anonymized and aggregated mobile network data with Bumbee Labs solution of GDPR-safe Wi-Fi probe data, we ensure that the collection of data follows the strictest guidelines of GDPR compliance all the way.
Frequently asked questions
How is this different from traditional traffic measurement?
Traditional road counts are often short samples: a tube across the road for a week, or a manual count at a junction. This measurement runs continuously, delivers by direction and hour, and lands in the same platform as your other movement data, so it serves ongoing operations as well as one-off studies.
Do you read number plates?
Not for counting, because counting needs no identity: LiDAR sees moving geometry and AI cameras output counts, not footage. That is a strength, not a limitation, since it keeps the measurement anonymous and easy to approve. For use cases that genuinely require plate recognition, talk to us about the setup that fits.
Where does traffic counting make sense for a commercial site?
Wherever arrivals start at the kerb: forecourts and petrol stations, retail sites with car-borne customers, venues judging parking pressure against visitor numbers. Reading vehicle arrivals against in-store footfall shows how well the site converts traffic into visits.