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 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.
This is one of the most frequent questions — and it is legitimate: no two routes are the same. Some are wide and straight, others are shared with pedestrians, and others are isolated in natural areas. Most of the time, measurement is possible, provided a point can be identified where the flow becomes structured: a bidirectional track, an intersection, a greenway entrance or a narrow passage.
The key is not to track each cyclist individually, but to obtain a reliable reading of flows: direction, intensity and variations over the day or across seasons. The sensor adapts to different contexts — variable width, moderate speeds, bidirectional traffic, remote sites — and can be configured to clearly distinguish directions of travel.
Every territory is different. Our role is to analyse your configuration and propose an appropriate setup, whether on an urban cycle track, a bridge, a sensitive intersection or a greenway. The objective is always the same: consistent, actionable data that reflects real-world conditions.
The Verdilo counter uses advanced thermal detection technology to automatically count cyclists in both directions by detecting their speed of passage.
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.
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.
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 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.
Discover our complete guide to choose the right solution for your public spaces.
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.
Here we have put together the most frequently asked questions about our Verdilo counting solutions. If you can't find your answer, contact us directly
Yes, our sensors can distinguish between pedestrian and cyclist flows, even on shared lanes, in both directions.
Absolutely. Our data can help demonstrate a site’s usage and justify investments or upgrades in funding proposals to public authorities or partners.
Yes, we offer rental solutions starting from one day up to several months — perfectly suited for temporary events such as festivals, trade shows, performances, or one-off studies.
Yes, installation takes just two minutes—no power supply needed. It can be mounted on a post, wall, or even embedded in a wooden pole for seamless integration.moins de 2 minutes et ne nécessite ni câblage ni alimentation électrique. Le compteur peut être fixé sur un poteau, un mur ou intégré dans un habillage discret (bois, mobilier urbain, nichoir, etc.).
With default settings (data transmission every 12 hours), our counters are designed to operate for at least 2 years without external power. If you increase the transmission frequency, battery life will decrease due to higher energy consumption. This flexibility allows you to tailor the sensor’s operation to your needs while maintaining long-term performance.
By default, our sensors transmit data every 12 hours. This frequency can be adjusted on request. However, increasing the frequency reduces battery life. For locations without network access, we also offer a manual data collection solution — ensuring reliable tracking even in remote or offline areas.
Yes, our sensors are built to be robust, waterproof, and to operate in all weather conditions — rain, snow, or extreme temperatures.
Yes, the Verdilo counter is designed to handle high traffic volumes and can accurately distinguish users even during crowded events. For optimal performance, we recommend placing the counter in a passage area where users are naturally filtered one by one (for example, near a barrier, gate, or controlled access point). Without such filtering, a group might be counted partially or as a single person. Proper positioning ensures accurate counting, even in busy conditions.
Yes, all data collected by our counters is 100% anonymized and compliant with data protection regulations, including the General Data Protection Regulation (GDPR). Verdilo uses thermal detection technology — not a camera. It does not capture images or collect personal data. The process is fully anonymous, with no way to identify individuals. Furthermore, no individual tracking is performed: only aggregated, quantitative data is transmitted.
