SimRa Reviews

SimRa Reviews

Published by on 2025-12-30

🏷️ About: Comparable to other major cities worldwide, Berlin aims to reduce traffic emissions. Foremost mechanism for this is to increase the share of bicycle traffic.


     


Is SimRa Safe to Use?

We Investigate the app owner's website (Digital-future.berlin), verify their legitimacy, and uncover hidden scams and complaints.


Overall Customer Experience 😎


πŸ«₯ Neutral
39.6%

🀬 Negative experience
37.5%

😎 Positive experience
22.9%

~ from Justuseapp.com NLP analysis of 0 combined software reviews.

Is SimRa Safe?
SimRa appears generally safe, but use with caution.
37.9/100

  Safety Analysis »»

Is SimRa Legit?
SimRa appears legitimate, though exercise caution.
103.4/100



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Is SimRa Safe? πŸ™

SimRa appears generally safe, but use with caution. JustUseApp Safety Score for SimRa is 37.9/100.
This assessment is based on our NLP analysis of 0 user reviews. No user reviews found.


Is SimRa Legit? πŸ’―

SimRa appears legitimate, though exercise caution. Our NLP models processed user feedback to estimate legitimacy. JustUseApp Legitimacy Score for SimRa is 103.4/100 .
This conclusion is based on analysis of 0 user reviews.


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Features

The collected data offers detailed insights into bicycle traffic in Berlin (and other cities) and hazardous situations to public administrators and other interested entities so that the number of near crashes (and hence also crashes) can be reduced.

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.

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.

To obtain such data, we have developed the SimRa app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize 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.

  Contact Support
Developer:
Florian Tschorsch