TU Berlin

Mobile Cloud ComputingSimRa

Page Content

to Navigation

SimRa: Safety in Bicycle Traffic

Comparable to other major cities worldwide, Berlin aims to reduce traffic emissions. Foremost mechanism for this is to increase the share of bicycle traffic. However, polls show that a lack of safety and fear of accidents keeps people from using their bikes more frequently. Furthermore, it also quite hard from a city planning perspective to get a good overview of location, time, frequency, and kind of hazards in bicycle traffic since official accident statistics only cover crashes but do not provide information on near crashes.

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip.

The collected data offers detailed insights into bicycle traffic in Berlin and hazardous situations to public administrators and other interested entities so that the number of near crashes (and hence also crashes) can be reduced. The data can also be used to optimize traffic flows to make bicycle traffic more attractive. For the evaluation of data, we plan to cooperate with interdisciplinary partners such as city planning, interested citizens, but also the Berlin Senate Department for the Environment, Transport and Climate Protection.

The project is funded for 3 years within the scope of TU Berlin’s citizen science initiative, starting in September 2018. Additional cooperation partners are welcome. Also other cities beyond Berlin can participate. For this, we need a point of contact (a person or a group) in the respective city who will (i) recruit local cyclists to participate and (ii) make use of the collected and preanalyzed data, e.g., to identify the root causes on site and to work with public administration to resolve the situation.

At the moment, the app is available for Android (6.0+) and IOS.

Further information can be found on our ECDF project site.

Mailing list for project news

If your are interested in news on this research project, you can subscribe to our SimRa news mailing list. We will use the mailing list for important news only. All information provided by you will be stored on TU Berlin servers and will not be used beyond this mailing list. You can subscribe/unsubscribe from the mailing list on this site: lists.tu-berlin.de/mailman/listinfo/mcc-simra.news/ (the mailing list site is in German, news will be sent out in English and in German)


Quick Access

Schnellnavigation zur Seite über Nummerneingabe