The BikeSafeAI project uses AI to analyse cyclist behaviour and traffic conditions to identify risky situations. It aims to reduce accidents and improve safety for cyclists in urban and regional settings. The project is a collaboration between multiple universities, government bodies, and mobility organisations in the Netherlands.
Name in original language
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Initiative overview
The BikeSafeAI initiative is a multidisciplinary research project started in February 2024, running through August 2026. Its main aim is to provide insights into cycling behaviour and traffic risk, by using advanced AI technologies to detect situations that could lead to accidents. These insights are intended to inform policymakers, educators, and urban planners.
Key objectives of BikeSafeAI include:
- Analysing traffic situations involving cyclists to identify patterns of risk (e.g. near-misses, conflict points) using sensor data, cameras, or other source data.
- Supplying actionable information for decision-makers (cities, municipalities, mobility authorities) to design safer infrastructure and interventions.
- Enhancing public awareness about cyclist safety through data-driven visualisations or reports.
Implementation involves multiple partners, including:
- Universities (Hanze University of Applied Sciences, NHL Stenden, University of Groningen)
- Regional government authorities (Provinces of Fryslân and Utrecht; City of Leeuwarden)
- Safety and mobility research and NGOs (SWOV, Fietsersbond, etc.)
Name of responsible organisation (in English)
Hanze University of Applied Sciences
Mechanisms to involve stakeholders in strategy design, implementation or monitoring
Don't know
