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.

自行车交通的模态份额增加是减少排放和解决交通相关问题的关键机制。但是，缺乏（可感知的）安全性使人们无法更频繁地使用自己的自行车。为了提高自行车交通的安全性，城市规划人员需要对事故，未遂事故和自行车路线进行概述。但是，目前尚无此类信息。在本文中，我们将介绍SimRa，这是一个使用基于智能手机的众包来收集自行车路线和未命中事故数据的平台。我们还描述了如何根据收集的数据识别危险的未命中热点附近地区，并提出评分模型。