Radspur – Using data to improve bike paths

Christian Waldhütter • 10.11.2025
  • Visualization
  • Software Development
  • Research
  • Sustainability

Bike infrastructure has long since ceased to be a niche topic in transportation planning. It has found its way into the center of modern, urban, and suburban living spaces. However, in many places, especially in more rural areas, expansion is facing challenges due to missing or incomplete information. This makes it difficult for local authorities to plan targeted measures. Where is a bike path actually needed? Which routes are bumpy, unsafe, or poorly constructed? Answers to these questions are lacking, and this is exactly where our pilot project comes in!

Making bicycle traffic visible

Planning a bicycle traffic network is often difficult. In order to identify weak points, gaps, or potential for expansion, a solid database is needed above all else. Yet reliable data sources have long been available: smartphones provide all the sensors needed to collect and use data.

Our concept is an app-based direct participation system that invites all cyclists to actively collect data—without the need for additional devices or complicated handling. The aim is to generate a collaborative and anonymous data picture that reveals actual usage patterns and thus forms the basis for concrete improvements to cycling infrastructure.

EU PilotInnCities Project x Radspur

As part of the EU-funded PilotInnCities project, we have been developing Radspur since the beginning of June. This is a publicly available app for Android and Apple smartphones that allows cycling enthusiasts to actively participate in anonymous data collection.

The project supports cities in testing smart city solutions through agile pilot projects. Instead of large and expensive plans, the focus is on smaller, quickly implementable projects in cooperation between administration, business, science, and society. The aim is to establish innovations quickly and practically in cities. This should lead to the development of long-term municipal support structures.

More information about PilotInnCities: PilotInnCities | Pilot-based Innovation Ecosystems for Smart Cities.

Radspur: Function and problem solving

Radspur creates a dynamic, anonymized data map of bicycle traffic in Kirchenlamitz in northern Bavaria, Germany. Cyclists can collect data in two ways and participate in the infrastructure planning process:

  • Passive data collection: Movement data (GPS) and vibration data are collected during the ride when the device is mounted statically on the handlebars.

  • Active feedback: At the same time, users can actively enter and report dangerous spots, obstacles, or suggestions directly at their current location.

This data fundamentally supports the planning process and enables targeted decisions to be made:

  • Data is collected: For the first time, a dynamic picture of actual bicycle use is created.

  • Frequently used routes become visible: Where are people actually riding?

  • Problems become visible: Vibration data reveals poor road sections and dangerous spots are reported directly to the local authority.

  • Targeted improvements: The local authority can allocate budgets based on evidence to where the benefits are greatest.

Data protection as a foundation

Movement data is highly sensitive information, which is why data protection is at the heart of the app.

  • Direct and anonymous: The app works entirely without registration or a personal account.

  • GDPR-compliant: Only the most necessary data is collected, and start and end points are not recorded in order to prevent conclusions about places of residence and work from being drawn.

  • No disclosure to third parties: The anonymized raw data is made available exclusively to the municipality.

  • And: No hassle with login details and passwords.

Outlook: Transparency and scalability

The information collected will also be made available to the community. The plan is to create a public dashboard that visualizes all anonymized data on a map.

Radspur has been deliberately designed to be modular, making it easy to transfer, adapt, and scale to other municipalities and districts.

Be part of the transformation!

The pilot project will run until the end of the year, and we are looking for committed cyclists to help create the database for better infrastructure in Kirchenlamitz.

Simply download the app, start cycling, and contribute data. Every ride counts!

Radspur – Apps on Google Play

Radspur‑App – App Store

Christian Waldhütter
With a background in product and transportation design, Christian is fascinated by design processes and how AI can expand the boundaries of creative work, exploring what's possible and what's not (yet).

More topics

AI in design – The interplay between algorithms and human hands
The ability to generate complex visualizations or numerous iterations within seconds conflicts directly with questions of authorship, control, and the definition of one's own creative identity. So how can this powerful tool be meaningfully integrated into the design process without losing control and one's own signature style?
Creative Stage – The Artistic Freedom Plugin for Autodesk VRED
Autodesk VRED has long been an indispensable tool for 3D visualizations, but anyone who works with VRED on a regular basis is also familiar with the complexity of the programm. Variant set management is essential for structured and reproducible work, but the current process slows things down considerably. We changed this technically dominated workflow back into a creative process with Creative Stage.
Radspur – Mit Daten zu besseren Radwegen
Die Rad-Infrastruktur ist schon lange nicht mehr nur ein Nischenthema in der Verkehrsplanung. Sie hat Einzug in das Zentrum moderner, urbaner als auch suburbaner Lebensqualität gehalten. Doch vielerorts stehen dem Ausbau, vor allem in ländlicheren Gegenden, Herausforderungen wegen fehlenden oder unvollständigen Informationen bevor. Genau hier setzt unser Pilotprojekt an!
AI in design - Local-based tools in the spotlight
AI tools are reshaping how we design, create and think but not all of them are built the same. Different AI tools represent different approaches to AI integration into the design process. There are options ranging from user-friendly platforms to complex, highly customizable frameworks. But which tool fits your project the best?
AI in design - Between creative revolution and digital responsibility
Artificial intelligence is no longer just a topic for research or software development; it has found its way into design practice. However, the enormous creative potential is in direct tension with questions of control, originality, and responsibility. The central challenge is: How can AI be meaningfully integrated into creative workflows without losing one's own creative identity?
Autodesk VRED: Integration of Depix AI
Our new plugin for Autodesk VRED Professional introduces generative AI in the high-end 3D visualization workflow. It allows users to generate photorealistic renders of CAD data directly in the viewport, streamlining the prototyping and rendering process. With faster iterations and refined details, it offers a seamless way to enhance visual quality, ideation and decision making. By integrating AI-driven rendering, it brings a new level of efficiency and realism to design and visualization workflows.
Webcast: Realtime HMI-Design with VRED 2024
In this Webcast, organized by Product Innovation Lounge by MFS, Christopher Gebhardt shows how Autodesk VRED allows us to stream online design tools like Figma directly into a real-time car visualization. This allows designers to test their designs as early as possible in virtual reality setups and adjust elements in real-time.
Webcast: Was gibts neues in VRED 2024?
Autodesk VRED's 2024 release introduced a complete overhaul of the user interface and other nice features. With Alias and VRED complementing their workflows for years, they now also visually integrate seamlessly, offering a unified and intuitive design experience for users.
Autodesk VRED: Post-Processing Volumes with Metadata
Autodesk VRED's 2023.3 release introduced Metadata services, allowing users to import and use metadata in VRED scenes. In this blog post we explore how to use metadata to implement a post-processing volume that controls camera parameters in real-time demonstrations.
Autodesk VRED: Real-Time Tutorials
Designers and engineers use Autodesk VRED, a powerful industry tool, to create high-quality 3D visuals and handle complex CAD data. Various techniques and settings can be used to optimize the performance and quality of realtime renderings, particularly in virtual reality. We were commissioned by Autodesk to produce a video tutorial series that explores realtime settings that can be customized to present virtual prototypes in the best possible way.
Autodesk VRED: Python Scripting Tutorials
Autodesk VRED is a powerful tool for designers and engineers to handle CAD data, create interactive presentations and validate designs. Its real-time engine, extensive Python API and new features simplify access to core functions. We were commissioned by Autodesk to produce a video tutorial series covering all the latest possibilities, from working with the new API to building a render pipeline with VRED Core.