Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

VELO - measurement of cycle flows

Reference number
Coordinator Lindholmen Science Park AB
Funding from Vinnova SEK 1 911 000
Project duration May 2025 - April 2027
Status Ongoing
Venture Strategic Innovation Program Drive Sweden
Call Strategic innovation program Drive Sweden: Innovations for a sustainable, digitized and automated transport system for people and goods

Purpose and goal

The objective of the project is to create and refine an ML model that identifies cycling behaviors through mobile mast data to create a nationally scalable tool for data-driven decisions about cycling infrastructure. Despite cycling being a central part of Sweden´s sustainable transport goals, there is currently a lack of a uniform and comprehensive method for measuring cycling traffic and cycling behaviors. Existing techniques provide valuable but fragmented information.

Expected effects and result

Short-term effects: • Improved understanding of how cycling takes place in participating municipalities • Better decision-making basis for new cycling investments • Increased opportunity to evaluate effects of cycling promotion measures Long-term effects: • Increased share of cycling trips • Reduced carbon dioxide emissions from the transport sector • Improved public health through increased physical activity • More even distribution of cycling resources between different demographic groups

Planned approach and implementation

The VELO project is a pilot to develop and test a service for identifying cycling behaviour. The project uses an agile development method with iterative improvement of the model based on continuous feedback from the municipalities. Tests are carried out against existing cycle counters to validate the reliability of the model. Established machine learning methods are used for data analysis, with a particular focus on pattern recognition of movement profiles.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 12 June 2025

Reference number 2025-00429