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

arXiv: https://arxiv.org/abs/2006.08481 · HTML: https://mlsanity.com/paper/2006.08481/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jun 2020.

## Built on by (most cited first, 1 of 1)

- [CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors](https://mlsanity.com/paper/2204.10416/) (2022)

## Abstract (arXiv)

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.