  An increased modal share of bicycle traffic is a key mechanism to reduce
emissions and solve traffic-related problems. However, a lack of (perceived)
safety keeps people from using their bikes more frequently. To improve safety
in bicycle traffic, city planners need an overview of accidents, near miss
incidents, and bike routes. Such information, however, is currently not
available. In this paper, we describe SimRa, a platform for collecting data on
bicycle routes and near miss incidents using smartphone-based crowdsourcing. We
also describe how we identify dangerous near miss hotspots based on the
collected data and propose a scoring model.
