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Traffic classifier

A world-unique Internet of Things (IoT) sensor that can calculate and classify traffic flow within one autonomous and low-cost sensor. The sensor counts traffic 24/7 and sends data to the cloud every 5 minutes, from where it can be provided as open through an open API.

The sensor is multifunctional and can be used according to customer requirements.




  • Transport census - classifies up to 10 classes according to vehicle length

  • Traffic safety - classifies up to 5 adjustable speed classes

  • Spatial planning - classifies into 3 length and 3 speed categories

  • Parking policy - staffing at the entrance and exit of the parking areas will provide information on the current occupancy of the parking lots, e.g. P+R

  • Shuttle transport/work zone - the sensor is able to distinguish the direction of travel and thus provides information about the passage of a vehicle on single-lane sections equipped with traffic control switches

  • Road management - the sensor can be supplemented with a road temperature sensor

  • Census of railway traffic - the sensor can be used to detect a moving train and provide statistics, e.g. for the facility management of switches


the battery-powered sensor has a lifespan of up to 3 years. The service life depends on the frequency of transmission and the intensity of traffic, especially according to the occurrence of traffic queues.


cylinder 100×130 mm


the sensor is installed by means of a 150 mm deep core bore, made in the center axis of the lane outside the path of the wheels of the vehicles, so it does not damage the road.


the sensor is able to communicate via various IoT networks, i.e. LoRa, SIGFOX or IQRF. According to the limits of the given network, it provides information to the cloud environment.


the sensor is a magnetometer, i.e. a sensor of the change in the geomagnetic field caused by the passage of a vehicle. Special algorithms can evaluate the vehicle passage from the shape of the field and classify it into the required classes.


The sensor is battery-powered and does not require connection to the mains.

traffic classifier

How the installation works

drilling traffic classifier

Step 1.

The sensors are installed below the road surface through a core bore with a diameter of 100 mm, to a depth of 150 mm.

traffic classifier bore

Step 2.

The core hole in the roadway is dried so that there is no standing water in it.

traffic classifier underfilling

Step 3.

The bottom of the borehole is filled with siliceous sand and the sensor is inserted into the borehole with the arrow pointing in the direction of travel.

backfill traffic classifier

Step 4.

The settled sensor is further sprinkled and completely covered with sand so that only the tip of the sensor protrudes above the sand and the sand is compacted with the fingers.

asphalt traffic classifier application

Step 5.

The edge of the borehole is cleaned of sand so that the subsequently applied cold asphalt mixture adheres to the edge of the borehole with a thickness of at least 15 mm.

Documents to download

Document 1

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Document 2

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Document 3

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Document 4

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Document 5

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traffic classifier qr code

Just scan the QR code

Each detector is registered with a unique QR code, which the installation crew reads using the registration mobile application at the installation site. This will automatically register the sensor element with its ID, GPS location and time of installation. In addition, the application itself offers to carry out the installation according to the prepared plan, as it provides the installation team with navigation to the scene of the crime and continuous monitoring of the completion of the daily task.

Mobile application or just scan the QR code

smathphone traffic classifier application citiq
smathphone traffic classifier application citiq
smathphone traffic classifier application citiq

There is a mobile application in which you can get information about individual sensors by simply scanning a QR code.

macbook traffic classifier grafana citiq

You can find everything in one place

All data is available online in a clear environment. Thanks to this, the data can be effectively worked with and used in practice.

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