The fact that tire wear is even higher in stop-and-go traffic or at traffic lights is also taken into account. An intelligent networking concept is intended to include influences such as traffic volume, weather forecast, and street cleaning. The evaluation of various data enables a forecast for the optimal time for filter emptying as well as the proactive use of street cleaning vehicles to remove pollutants from the street before they are captured by the runoff rain.

The prototypes are tested and optimized at a special test stand at the Technical University of Berlin with the addition of different defined pollutants and various rain intensities.

In 2022, a prototype of the filter was used on a busy street in Berlin. The research results from laboratory and stress tests show that the URBANFILTER works effectively even under adverse conditions without clogging. It handles all types of pollution – such as street sweepings, cigarette filters, and microparticles – particularly well in light to moderate rainfall.One goal was to find out how the filter system can be improved in heavy rain without needing to be controlled or cleaned.
The researchers took samples of both the inflow and the outflowing water to determine the efficiency in real operation over the seasons. Discussions with cooperation partners on intelligent traffic management and planning are also being conducted.