Major cities worldwide aim to reduce traffic emissions. Foremost mechanism for this is to increase the share of bicycle traffic. However polls show that a lack of safety and fear of accidents keeps people from using their bikes more frequently. Furthermore it also quite hard from a city planning perspective to get a good overview of location time frequency and kind of hazards in bicycle traffic since official accident statistics only cover crashes but do not provide information on near crashes.

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 the SimRa 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 in a fully anonymous way.

The collected data offers detailed insights into bicycle traffic in Berlin (and other cities) 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. For the evaluation of data we plan to cooperate with interdisciplinary partners such as city planning interested citizens but also the Berlin Senate Department for the Environment Transport and Climate Protection.