In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip.

The collected data offers detailed insights into bicycle traffic in Berlin and hazardous situations to public administrators and other interested entities so that the number of near crashes (and hence also crashes) can be reduced. The data can also be used to optimize traffic flows to make bicycle traffic more attractive. 

© ECDF

© ECDF

© ECDF