SimRa: Using Crowdsourcing to Identify Near Miss Hotspots in Bicycle Traffic

• URL: http://arxiv.org/abs/2006.08481v2
• Date: Wed, 1 Jul 2020 07:46:40 GMT
• Title: SimRa: Using Crowdsourcing to Identify Near Miss Hotspots in Bicycle Traffic
• Authors: Ahmet-Serdar Karakaya, Jonathan Hasenburg and David Bermbach
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: 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.

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