A good fit if you need
- Counting without roadworks on existing infrastructure
- Counting by lane and direction
- Classification and speed per pass
- Historical data for mobility studies
- Integration with your own platform or uRAD Cloud
Traffic counting without roadworks
Traffic counting radar to count, classify and analyze mobility
Count vehicles, bikes and pedestrians by lane, direction, category and speed. Build a continuous historical record and deliver the data over CSV, REST API, MODBUS or uRAD Cloud, with no cameras and no work on the carriageway.
Deployed by the City of Pamplona: eight counting points recorded 2.7 million cyclist passes in a year, integrated into its municipal platform.
Tell us the number of lanes, directions, users you want to count, study duration, power, connectivity and data destination. Direct reply from the technical-sales team.
No roadworks
Up to 4 lanes
No image capture
CSV · REST API · MODBUS · cloud
What do you need to measure?
Choose by the outcome you need
Do you need data to analyze, or a detection to act on?
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Another uRAD Solution
uRAD Smart Traffic solution
Count, store and analyze movements
Choose Smart Traffic when you need traffic counting, classification, historical data, statistics, reports or data integration for mobility studies and infrastructure management.
- Counting and classification
- Historical data
- Statistics and visualization
- Data export and integration
You are viewing uRAD Smart Traffic
uRAD Smart Radar Sensor
Detect an event and trigger a system
Choose Smart Radar Sensor when you need to detect presence, approach, speed or direction and communicate a real-time event to a panel, beacon or controller.
- Presence and approach
- Instant event
- RS-485 or UART
- Trigger another system
See uRAD Smart Radar Sensor →
Is it the right fit?
Is uRAD Smart Traffic the right solution for your counting project?
Smart Traffic is designed to record, store and exploit mobility data. It is not an enforcement system, a video camera or a sensor meant to trigger signals.
Not the best fit if you want
- License-plate reading or video analytics
- Automatic enforcement
- Instant activation of signals or beacons
- An OEM sensor for detection and actuation — see Smart Radar Sensor
Mobility data
What the counter records and how it delivers the data
Each pass becomes a structured record that can be stored, analyzed or integrated.
Data per pass
Raw data · event by event
- Date and time of each passtimestamp
- Lane of the passup to 4
- Direction of travelbi-dir
- Class of the user5 types
- Speed recorded per passdata
Historical data & statistics
Aggregated data
- Counts per intervalvolume
- Distribution by category, lane and directionsplit
- Average speed and distributionanalysis
- Time evolutiontrend
The available metrics depend on the model, the configuration and the platform version.
Delivery & integration
CSV
REST API
MODBUS
Local storage (RPi)
uRAD Cloud
uRAD Cloud Platform
Review historical data and statistics without building your own dashboard
Connect your counting points to uRAD Cloud to review traffic evolution, compare locations and download the information from your browser.
- Counts per interval and average speed
- Data export for technical reports
- Multi-sensor view from a single console
Use cases
Which counting projects uRAD is deployed for
Pamplona
Urban counting
Counting and classification on urban roads
Record traffic volume, category distribution, directions and speeds on streets, avenues or urban accesses.
Enables: analyzing where flows concentrate and how mobility evolves.
Temporary studies
Counting campaigns before and after a change
Deploy temporary points to compare the situation before and after lane changes, traffic calming, works or new routes.
Enables: measuring the real impact of an intervention.
Highways & infrastructure
Traffic monitoring on interurban roads
Record volume, category, direction and speed to analyze the use of secondary, regional roads or strategic accesses.
Enables: prioritizing maintenance, planning and capacity management.
Pamplona
Active mobility
Counting bikes, PMVs and pedestrians
Perform bike counting, PMV counting and pedestrian counting by direction and time of day, with time evolution and without using cameras.
Enables: sizing and evaluating investment in active mobility.
Smart City integration
Traffic data for municipal platforms
Integrate the counter's information with an urban platform, a control center or an existing mobility system.
Enables: centralizing and comparing information from different points.
Success story · Smart City
City of Pamplona
Go Green strategy · municipal cycling network
Period
2022–23
Pamplona analyzes 2.7 million cyclist passes with a uRAD counting network
Eight counting points record the cycling network's mobility and deliver the data for municipal analysis and integration, with no roadworks and no cameras.
2,7MPasses in 12 months2,734,426 · 7,492/day
8Counting pointsAcross the city
18,8km/h Average Speed25.9 max. at Labrit
20,5%Against the flowOne-way lane at Pío XII
Accuracy and conditions
Counting accuracy conditioned by a correctly validated installation
>95%
Vehicle counting accuracy
En configuraciones e instalaciones validadas
In validated configurations and installations, Smart Traffic can exceed 95% counting accuracy. Real performance depends on road geometry, height, angle, lanes, density, user type and possible occlusions.
Radar technology is less dependent on visible lighting than image-based systems; performance is validated for each installation.
Mast height and angle
Lane width and number
Heavy or light traffic
Curves and occlusions
Available models
Choose how you want to store and integrate the data
The same radar core in two configurations. Choose by data flow and project type.
Direct integration
uRAD Smart Traffic solution
Ask if Compact fits my site →
Compact
Low power
MODBUS RS-485
WiFi · 4G · LoRaWAN opt.
Compact counting unit for direct integration of data over MODBUS or REST API, with optional connectivity. No full local historical storage.
Recommended for
- Counting and classification with a simple installation
- Data integration over MODBUS or REST API
- Temporary campaigns with an optional external battery
Configurable projects
uRAD Smart Traffic solution
Ask for an RPi recommendation →
RPi model
Local storage
Linux processing
WiFi + 4G
Counter with local processing on Linux and on-board historical storage, with greater integration flexibility and suitable for intermittent connectivity.
Recommended for
- Projects with complex integration and 4G connectivity
- Deployments with historical data kept on the counter itself
- Sites with intermittent coverage
Technical comparison
Compact and RPi point by point
| Feature | Compact | RPi model |
|---|---|---|
| Sistema operativo | Embedded firmware | Linux (Raspberry Pi OS) |
| Power | 8–42 V DC (5 V DC opt.) | 8–40 V DC · or · 110–240 V AC |
| Power consumption | 2,5 W | 4,5 W |
| Communication | MODBUS RS-485 · WiFi · 4G LTE-M opt. · LoRaWAN opt. | WiFi · 4G |
| Range | 30 m (classification) · ±15 m lateral | 30 m (counting) · 100 m (other) · ±15 m lateral |
| Lanes | Up to 4 (3 per direction) | Up to 4 (3 per direction) |
| Protection | IP66 · NEMA 4X/12/13 · UL-508 | IP66 · NEMA 4X/12/13 · UL-508 |
| Data delivery | uRAD Cloud platform · or · your platform via API / MODBUS | |
Technical docs
Download the uRAD Smart Traffic technical documentation
Datasheets and user manuals for each model to review specifications, installation and integration.
What can uRAD Smart Traffic count and how many lanes does it support?
It counts vehicles, bikes and pedestrians and classifies them into categories (regular, medium, long, bike and pedestrian) by lane and direction. A single counter covers up to 4 lanes depending on the installation; the real number and granularity depend on the height and geometry of the road.
What data does it record for each pass?
For each pass it records date and time, lane, direction, category and speed. Speed is stored as data that is kept and analyzed —averages, distributions and evolution—, not as a condition to trigger a system. The range and resolution are confirmed according to the model and installation.
How are historical records stored if the connection drops?
The RPi model stores the historical record on the device itself, so the data is preserved even if connectivity fails temporarily and syncs on recovery. The Compact has an internal buffer; for sites with intermittent coverage RPi is worth considering. The exact capacity is confirmed in the technical assessment.
How does it integrate with a municipal or ITS platform?
Through documented interfaces: CSV, REST API and MODBUS, or a connection to uRAD Cloud. The purpose is to integrate and exploit the data in your platform, control center or existing mobility system, without depending on a single tool.
What is the difference between Compact and RPi?
Compact is a compact unit for direct data integration over MODBUS or REST API. RPi adds local processing on Linux and on-board historical storage, with greater integration flexibility and suitability for intermittent connectivity. The choice depends on connectivity, storage and project type.
What accuracy can be expected?
In validated configurations and installations, counting accuracy can exceed 95%. It depends on height, angle, lanes, density, user type and occlusions; counting accuracy, classification accuracy and speed resolution are estimated separately for each counting site.
Does it work without cameras and can it count bikes and pedestrians?
Yes. It is radar, not a camera: it does not capture identifiable images of people or license plates. It enables counting bikes, PMVs and pedestrians as flows that are counted and analyzed by direction and time, with the installation technically validated for each user type.
What is the difference between Smart Traffic and Smart Radar Sensor?
uRAD Smart Traffic counts, classifies, stores and analyzes movements to build historical data and statistics. Smart Radar Sensor detects presence, approach, speed or direction and communicates a real-time event so a panel, beacon or controller can act.
Technical assessment of your counting site
Tell us what mobility you need
to measure and how you'll use the data
We'll review the location, the lanes, the user types, the installation, the connectivity and the data destination to recommend the right model and configuration.
- Technical review of the counting site.
- Recommendation between Compact and RPi.
- Installation and data-integration plan.