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 this 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: measuring site conversion
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 can be answered with measured numbers instead of estimates.
Vehicle counting is as anonymous 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
-
Continuous counts
Around-the-clock counts by direction and hour replace occasional tube counts and manual samples, so trends and peaks are measured rather than estimated.
-
Built to be anonymous
LiDAR-based counting measures moving geometry with no imagery at all, and AI camera counting outputs numbers instead of footage. No number plates or identities are needed to count.
-
Vehicles and people in one picture
Vehicle counts sit in the same dashboards and API as pedestrian, bicycle and footfall data, so you can read all arrivals at a site together.
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. Counting needs no identity: LiDAR sees moving geometry and AI cameras output counts rather than footage. That keeps the measurement anonymous and easy to approve. For use cases that do require plate recognition, talk to us about the setup that fits.
Can you measure directional split and traffic rhythm?
Yes, that is the core of the deliverable: counts by direction, hour, day and season, so the commuter tide, the weekend pattern and the before/after of any change are read straight off the series rather than estimated.
Can you separate vehicle types, like heavy traffic?
The measurement separates movement classes (vehicles, cyclists and pedestrians) as standard. Finer vehicle classification is configured per project against your requirement, so tell us what your planning question needs and we will scope the setup to answer it.
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.