Always ahead thanks to smart data

We make sense of data. Our unique algorithms turn gigabytes of traffic data into comprehensive traffic information on roads and highways every minute, so you can arrive without delay and without accidents.

50 000

vehicles share their location data (FCD) daily

95%

of road sections in the Czech Republic receive data about current traffic thanks to us

2 500

missing parking spots for trucks in the Czech Republic

Calculation and prediction of traffic intensity

Each second we process anonymized position data from thousands of vehicles throughout the Czech Republic, which is simply called FCD - Floating Car Data. What is so much data used for? Using complex algorithms from current and historical data, we calculate the current traffic load in real time and predict the load on these road sections in the future. The data is also coming from other transport technologies such as traffic counters, C-ITS messages, Bluetooth, Wifi detection, etc.

Deployments

Online portal with mobility and traffic data - IQ Modules

Our service IQ Modules is an intiutive and insightful online tool appreciated by anyone who wants to make decisions based on real data and trends. It offer a wide range of metrics and their visualisations, including population of particular area, mobility of population, traffic intensities and travel times.

Deployments

Availability of parking lots

Parking is a critical issue not only for car drivers in city centers, but also for trucks on motorways. Our algorithms provide up-to-date information on parking lot occupancy based on input data (magnetometric or laser detectors, video detection, data from mobile applications, data from the toll system and more) and predict their status on a given day or hour from historical data. To give the data meaning, we have developed a mobile application that guides drivers to a free parking spot.

The project FW08010022 Dynacount was funded by the Czech Technology Agency and the Ministry of Industry and Trade of the Czech Republic under the TREND Programme. This project was funded under the National Recovery Plan from the European Recovery and Resilience Facility.