Contact now
Contact now
A small bicycle stands on a smartphone that displays a map on the screen.

IoT bike

Cycling safely in the city

Better cycle paths thanks to app data

Cycling safely in the city: our IoT Bike smartphone app can be used to collect data about the cycle path infrastructure in cities - while riding and without additional hardware. The app uses the smartphones of participating cyclists as sensors and displays the collected data anonymously on road maps.

Three smartphone screens show calibration instructions, a driving time display and a map overview of a route traveled, each with a different design.

Cell phone sensors provide facts and figures

Data is collected from the acceleration, gyro and GPS sensors installed in the smartphone. These are used to generate information about the condition of the roads and cycle paths. This also includes information about the frequency of use of routes and speeds traveled. The data is transferred anonymously to the cloud and displayed in a dashboard.

Anonymously in the cloud: how we collect the data

The smartphone is attached to the handlebars with a bike mount.

In order to record the vibrations accurately, the bracket must be firmly attached.

The measured forces correspond to the forces acting on the driver.

No personal data is collected at any time.

Good to know...

Programming languages:

  • Dart
  • Go
  • Python
  • Rust

Frameworks / tools / (cloud) platforms

  • Flutter
  • Microsoft Azure
  • Kubernetes
  • MongoDB
  • Docker
  • Gitlab CI/C

Sustainability through crowd sourcing

Can the quality of cycle paths in the city be measured using smartphones? To investigate this question, Florian von Unold, Data Scientist at MaibornWolff, first built an Android prototype that successfully records conspicuous cycling events.

In the next step, a motivated, cross-functional team was formed across various departments to research the collected data, develop a cross-platform app for iOS and Android and implement a state-of-the-art cloud application. Our people are motivated by the scalable approach using smartphones and crowd-sourcing, as well as the opportunity to contribute to sustainable living in the city.

One person is wearing a light green shirt.
With IoT-Bike, we launched a research project that brings together colleagues from a wide range of fields so that they can test new technologies that inspire them alongside their project work, with the aim of advancing this cross-sector research and innovation culture. It would be great if citizens could use IoT bikes when cycling and cities and municipalities could use this data to improve cycling infrastructure in a more targeted way.
Florian von Unold, Data Scientist at MaibornWolff
Find what suits you best
Refine your search
clear all filters