SimRa: Using Crowdsourcing to Identify Near Miss Hotspots in Bicycle Traffic
June 15, 2020 Β· Declared Dead Β· π Pervasive and Mobile Computing
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Authors
Ahmet-Serdar Karakaya, Jonathan Hasenburg, David Bermbach
arXiv ID
2006.08481
Category
cs.CY: Computers & Society
Cross-listed
cs.DC,
cs.HC
Citations
35
Venue
Pervasive and Mobile Computing
Last Checked
6 months ago
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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