Every cycling facility raises different questions: the real use of a corridor, the safety of an intersection, the attractiveness of a greenway, intermodality with a railway station or a school. The visual presents a few typical (non-exhaustive) situations that illustrate the range of questions cyclist counting can answer.
Cycling routes come in many configurations: wide or narrow tracks, remote greenways, complex intersections, shared zones or narrow bridges. The Verdilo counter is designed to adapt to these contexts and provide a stable reading of flows, regardless of weather, season or attendance levels.
The goal is not to track each cyclist individually, but to deliver reliable trends: direction of travel, volumes, hourly or seasonal variations — an approach suited to network analysis and performance evaluation.
Works without power supply (Autonomy estimated at more than 2 olds).
Set up in 2 minutes, with no expertise required, delivered ready to use.
Designed for outdoor conditions, in natural or urban environments.
No images saved, RGPD compliance.
Clear reading of the directions of passage and differentiation between pedestrians, cyclists and vehicles.
Online consultation or local survey in remote areas.
Cycling networks evolve quickly: new corridors, upgraded cycle tracks, improved continuity, 30 km/h zones, pilots and temporary measures. To know whether these choices truly meet needs, you must be able to measure actual use. Without data, you only see part of the reality.
Measurement first reveals day-to-day dynamics: peak hours, weekday vs. weekend differences, the impact of weather, or the gradual uptake of a corridor that becomes more attractive. It also helps identify sensitive points: pressured intersections, bottlenecks, and breaks in continuity.
Finally, these insights become a solid basis for decisions: prioritising investments, justifying an upgrade, sizing a missing link, or documenting a funding application. Cyclist data turns intuition into an objective foundation for managing and developing active mobility.
The Verdilo counter uses advanced thermal detection technology to automatically count cyclists in both directions by detecting their speed of passage.
Cyclist flow measurement provides direct indicators that help understand how a route is actually used — and how it may evolve. These insights quickly become levers to organise, secure and improve the cycling network.
Counts highlight peak hours, weekday/weekend differences and the impact of weather. They reveal corridor attractiveness, utility vs. leisure usage, and periods of ramp-up.
Pressured intersections, highly used bridges, sections saturated at arrival/departure times: directional flows help pinpoint where safety or continuity must be strengthened.
Data objectifies the effect of a new facility, a pilot or a change in configuration. It helps prioritise needs, size a corridor properly, or justify a protected cycle track.
Measurement shows how cyclists move between neighbourhoods, stations, employment areas or schools. It provides a concrete basis to plan a coherent, connected network.
Data supports reporting, funding applications and before/after evaluation. It helps document cycling growth across a territory and track policy impacts over time.
Testimonials
We installed a counter to meet the counting obligation imposed by the Veloscenics Committee, the Paris—Mont-Saint-Michel itinerary. The data is mainly intended for the committee, exported from the Reports tool. The device fulfilled its role perfectly and convinced the technical team. A desired improvement: to be able to redefine counting time slots, especially during nocturnal events such as the Festival of Light. Additional needs are envisaged from 2025, depending on authorizations and budget.
Traffic monitoring allows us to improve facilities, to assess the impact of new practices (mountain biking and trail) to find the right balance between our ideas, the acceptance or not of our citizens as well as the expectation of overtourism.
This works well, information on attendance led us to change the space counters in winter to use them for a second activity: snowshoeing
The Kiomda counters finally allow us to objectify the attendance of the Green Track, a strategic axis to encourage modal shift. The data is used to demonstrate to funders the real use of the infrastructure and to better understand practices: schedules, volumes, type of users. We plan to exploit the data more finely and to extend the system to our 200 km of trails.
We have created a soft link parallel to a departmental road, and the department subsidizes it so we have to send it regular figures.
We didn't expect a peak in usage on Tuesday after 22:00, until we understood that the local soccer team went back and forth from their weekly training through our gentle liaison. We would not have learned it without the installation of counters.
We use Kiomda meters to measure the attendance of a 5 km section built on an old railway line. The data makes it possible to demonstrate the value of the connection, to meet the requirements of funders and to better understand the uses (pedestrians/bicycles). They are used by elected officials as well as tourist offices to guide decisions and optimize services.
Kiomda counters support us in the development of our greenway, called to join Flow Vélo. The data allows us to monitor attendance, to distinguish between pedestrian/bicycle uses and to inform our decisions in terms of tourism, investments and soft mobility. We note that the itinerary works well, with a high number of visitors in fine weather and not only carried by tourists.
The installation of the Verdilo meter initially met a subsidy requirement for the development of a new highway leading to an artisanal zone. Bidirectional data now makes it possible to precisely monitor bike traffic on this one-kilometer stretch. They are used by the technical service as well as by elected officials when figures are requested. The case works very well and has not been damaged. Satisfaction: 9/10.
Cycling routes do not all behave the same way: attractiveness varies by time of day, intersections can experience pressure peaks, and usage can be strongly concentrated around employment hubs or stations. Below are contexts where cyclist data provides immediate, actionable insight.
Each site is different — we help you choose the easiest and most reliable configuration.
Our team will contact you very quickly to deepen your needs and build an adapted proposal.
On a greenway or a mixed track (up to 6 meters wide), our Verdilo sensor combines two technologies: thermal detection (which identifies human heat) and magnetic detection. It is this detection of the metal mass of the bicycle that allows us to accurately differentiate a cyclist from a pedestrian or a group of walkers.
Yes, it's even our specialty! The Verdilo counter is 100% autonomous. It works on a very long battery life (up to 2 years of autonomy) or via a mini solar panel. The installation requires no trenches, no civil engineering and no electrical connections.
No, no cameras are used. Counting is based on thermal and magnetic fluxes. The data collected is therefore strictly anonymous (no image, no facial recognition). This makes it much easier to deploy on public roads, without any complexity associated with the GDPR.
For isolated or sensitive environments, we have designed specific integration solutions. The sensor can be hidden in a wooden “hollowed post” (which blends perfectly into natural areas), in a wooden birdhouse, or protected by a robust anti-vandalism urban cover.
To preserve the autonomy of the sensor in an isolated environment, the data is not transmitted in real time. They are sent automatically every 12 hours to your online platform (Reports). This allows you to calmly analyze peak traffic, seasonality and daily uses to better size your cycling facilities.
Our sensors, by default, transmit data every 12 hours. This frequency can be set on request. However, if the transmission frequency is increased, this will have consequences on the autonomy of the meter. In fact, we also have a manual data recovery solution for sites that do not have a connection, guaranteeing reliable data tracking, even in isolated locations or without a network.
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