Note on the project!
This project is finished.
Open Traffic Count
Counting cars, bicycles and pedestrians in real time, at low cost and in compliance with strict data protection regulations – newer machine learning methods make this possible. So far, however, there is still a lack of empirically valid and comprehensive evaluations of corresponding systems in everyday urban life.
Municipal traffic censuses are important sources of data for a wide variety of urban actors, especially in the field of urban and traffic planning. Due to existing uncertainties, for example with regard to data protection, municipalities often fall back on established procedures and traffic counts are therefore usually carried out manually with a high use of resources.
The Technologiestiftung Berlin and the Berlin University of Economics and Technology (HTW) have tested the OpenDataCam, which is based on open source, at various locations in the city of Berlin for use in traffic counts.
The Open Data Cam works with machine learning algorithms and makes it possible to carry out accurate traffic counts in real time without saving images.
In corporation with:
Funded by:
