SCREEN

Smart cycling infrastructure assessment

Project summary

SCREEN is all about making cycling safer and more enjoyable for everyone. By partnering with expert tech partners for infrastructure assessment and data analysis, we can identify problems and find solutions.

The SCREEN product, called VeloVision, helps cities better assess the current state of cycling infrastructure, identify areas for improvement, and provide actionable advice to enhance the cycling experience. We use computer vision technology to scan bike routes and lanes to later analyse what needs to be fixed to make cycling safer, from width and road surface quality to air quality.

Our goal is simple: make biking safer, improve how cities plan bike routes, and give them the information they need to get around on two wheels. We’re testing our ideas in Sarajevo and Area Metropolitana de Barcelona (AMB) to ensure they work in different infrastructures and cycling cultures.

With VeloVision, we’re pedalling towards a future where biking is more accessible, safer, and fun for everyone. Imagine smoother rides, safer streets, and more people choosing bikes over cars. That’s good for our health, our cities, and the planet. Let’s ride towards a better tomorrow together!

Project start:

1 March 2024

Project end:

28 February 2025

Budget:

€575,000

Countries

bosnia_and_herzegovina, spain

Context

Improve the evaluation of cycle paths with AI and computer vision technology to guide cities towards safer and more enjoyable cycling for all.

Challenge

Current methods for assessing cycling infrastructure are often slow and expensive. The SCREEN product, VeloVision, addresses this issue by using advanced imaging, artificial intelligence, and vision technology to provide efficient and accurate evaluations.

Expected outcome

SCREEN aims to develop an AI tool at TRL-8 called VeloVison that Integrates ROAD, City Dive, and Lanepatrol solutions to evaluate 50+ metrics on the state of your cycling infrastructure with concrete recommendations on how to make improvements.

Impact

The SCREEN project marks a significant step forward in how cities assess and enhance cycling infrastructure. By integrating computer vision, AI-powered analysis, and geospatial data processing, SCREEN has delivered a data-driven, scalable, and actionable approach to evaluating cycling conditions in urban environments. The pilot testing of the infrastructure assessment tool VeloVision in Barcelona (AMB) and Sarajevo successfully validated the tool's objectives and use cases in real world settings.

In the pilot of Barcelona (AMB), the analysis identified key areas within the cycling network that require improvements to better accommodate cyclists and encourage the use of this mode of transport. Both cycling safety and pollution levels were critical factors in this assessment. Using VeloVision, we pinpointed specific high-risk areas—such as the analysed Eastern routes, which exhibited lower cycling safety scores. Based on these insights, we proposed targeted improvement strategies, such as traffic calming measures to enhance both safety and air quality.

In Sarajevo, the tool effectively demonstrated how the integration of static and real-time data can generate actionable recommendations. By overlaying information on the existing cycling network, its performance, shared bicycle trips, population distribution and destination densities (POIs), VeloVision pinpointed areas where new cycling infrastructure would have the greatest impact. This approach ensures that cycle path investments are data-driven and strategically placed for maximum benefit.