3 months

Duration

€834 668,48

Budget

About OmniFlow

Mobility is constantly changing, but the data available to transport planners does not always keep pace. Traditional traffic counts and physical sensors provide valuable information, but their coverage is limited to specific locations and periods. This can leave municipalities with an incomplete picture of how their transport networks are being used.

OmniFlow explores a new approach to filling these information gaps. The project brings together digital solutions that transform existing mobility data into practical information for transport planning. Aggregated mobile network data is processed and combined with existing road sensor information to provide a broader understanding of traffic flows and mobility trends. The approach is designed to be privacy-compliant and focuses on overall movement patterns rather than individual journeys.

The resulting mobility insights can be applied through solutions such as a virtual traffic sensor, which can provide estimated vehicle flows at locations where no physical traffic sensor is installed. This could allow municipalities to gain insights into a much wider transport network without the need to install additional monitoring infrastructure at every location.

The approach will be piloted in Šiauliai, Lithuania, and Jelgava, Latvia, including their surrounding rural areas. By testing the solution in real-world conditions, OmniFlow aims to demonstrate how better mobility insights can support evidence-based transport planning, public transport optimisation, traffic management, and infrastructure investment – in cities as well as less densely monitored areas.

This project has received co-funding from the European Union’s Digital Europe programme under grant agreement No. 101123342. Total budget (including co-funding): 834 668,48 EUR.

How it Works

Step 4: Estimate vehicle flows

Step 2: Analyse mobility patterns

Step 3: Add existing road sensor data

A municipal user selects a location on the map and places a virtual traffic sensor there. No physical equipment needs to be installed at the selected location.

The selected location is matched with privacy-compliant, aggregated mobile network data to estimate the overall flow of people in that area. The data is statistically adjusted to provide a representative picture of mobility patterns.

Where available, existing traffic count data from national or local road authorities is used to complement the mobility data. Where suitable data is not available, camera-based traffic counts are being carried out. Read the Privacy Notice here.

Step 1: Create a virtual sensor

The different data sources are combined and calibrated to distinguish vehicle traffic from other forms of movement, such as walking and cycling. This produces an estimated vehicle flow for the selected location.

Step 5: Get actionable insights

The municipality receives an estimated number of vehicles per hour at the selected virtual sensor point. These insights can support transport planning, public transport demand analysis, infrastructure maintenance and prioritisation, and other mobility planning activities.

Step 6: Validate the results

During the OmniFlow pilots, the estimates generated by the virtual sensors will be compared with physical traffic counts to assess their accuracy and reliability in real-world conditions.

Consortium Partners

Event

16 September, 2026

OmniFlow to Be Presented at Smart Traffic event in Riga

OmniFlow will be presented at Smart Traffic: Data, Control, Development in Riga on 24 September, where transport professionals, public authorities and technology experts will come together to discuss the future of data-driven mobility.

Partners Meeting

24 September, 2026

OmniFlow Partners Meet in Riga, Latvia

As the OmniFlow pilot progresses, project partners met in Riga to review progress, address remaining challenges and coordinate the next activities. With technical development advancing, the project is now moving towards testing and validation to assess how reliably the generated mobility insights reflect real-world traffic conditions and support transport planning.

Event

29 September, 2026

OmniFlow Joined Discussions in Smart Traffic event in Riga

OmniFlow was presented at Smart Traffic: Data, Control, Development in Riga, joining experts to discuss the growing role of data in mobility planning. The project introduced how aggregated mobile network data can complement traditional traffic sensors and provide a broader picture of mobility patterns.