With our video analysis system, you can recognise the vehicle classes and find out where the vehicles come from, where they are going, how long they stay in certain areas and which vehicle group they belong to.

The object recognition technology enables all road users and different vehicle classes to be recorded using video-based measurements. The possible measured variables include the volume of traffic at individually definable cross-sections, the length of stay and density in specific measurement areas, the speed of road users at the measurement location and their origin.

Based on the operating concepts and needs of the operators and users, the appropriate technologies for collecting the data are defined. The data is collated on our platform and combined into a standardised system. The result is a holistic, standardised approach to the current and expected parking situation.

As part of the Cyclomania Challenge, we are processing the GPS data and drawing up a cycle load plan for the entire municipal area. The cycle load plan shows how cyclists are distributed in the municipal area and can be used to assess mobility needs and prioritise improvements to any weak points in the infrastructure.