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

06/15/2020
by   Ahmet-Serdar Karakaya, et al.
0

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.

READ FULL TEXT

page 16

page 17

page 18

research
04/21/2022

CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors

In cities worldwide, cars cause health and traffic problems which could ...
research
05/02/2023

A Crowdsensing Approach for Deriving Surface Quality of Cycling Infrastructure

Cities worldwide are trying to increase the modal share of bicycle traff...
research
01/30/2019

Increasing city safety awareness regarding disruptive traffic stream

Transportation systems serve the people in essence, in this study we foc...
research
10/26/2020

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management

We give an overview of an intelligent urban traffic management system. C...
research
11/30/2018

Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia

This project presents the results of a partnership between the Data Scie...
research
05/02/2023

Achieving Realistic Cyclist Behavior in SUMO using the SimRa Dataset

Increasing the modal share of bicycle traffic to reduce carbon emissions...
research
06/30/2022

Optimizing Character Animations using Online Crowdsourcing

This paper presents a novel approach for exploring diverse and expressiv...

Please sign up or login with your details

Forgot password? Click here to reset