A data collection session was held on June 19th on Nordbahntrasse in Wuppertal as part of the NUErLast project. The goal of the project is to develop algorithms and methods that can distinguish between regular bicycles and cargobikes using bicycle counters. In preparation for the session, a bicycle counter was installed near Mirker Bahnhoff by our project partners at Eco-Counter. These counters utilize loop detector technology to identify passing objects.

For the data collection, we at the University of Wuppertal, Chair of Bicycle Traffic prepared three different types of cargobikes. The team from Eco-Counter arrived at the location with the necessary equipment to capture the magnetic signatures of these cargo bikes as they passed over the bicycle counter sensors at various speeds. These signatures will be used to train the bicycle detection models of the Eco-Counter bicycle counters.

Additional data collection sessions will be organized if more training data is needed for the bicycle distinction algorithms. In autumn, our partners at DTV-Verkehrsconsult will organize an expert workshop to analyze the use cases for differentiated bicycle count data. The differentiated count data will also provide valuable insights into the behavior of mixed bicycle flows. Stay tuned for further updates!