Cycle AI: Utilizing artificial intelligence to ensure safer cycling in cities
ecf.com (en anglais) : comment l'Intelligence artificielle peut mesurer la sécurité des routes pour les cyclistes
Cycle AI wins first place at the first ever European Cyclists’ Federation Hackathon, organized in association with the European Institute for Innovation and Technology’s (EIT) Urban Mobility department. Their proposed solution will encourage more cycling in our cities by using artificial intelligence (AI) technology to assess road safety levels for cyclists.
What is it?
Ensuring cyclists’ safety is one of the key obstacles for encouraging more cycling in our cities. At the inaugural ECF Hackathon on November 13th, 2020, Cycle AI presented what could be a major breakthrough for solving this problem. Their implementation of state-of-the-art technology to ensure safer cycling impressed the jury panel, who unanimously awarded their solution first place in recognition of its benefits for both infrastructure developers and infrastructure users.
The Cycle AI team is made up of Luís Rita, Portugal; Joan Calvera, Spain; and Miguel Peliteiro, Portugal. Using crowdsourced data from their website, their proposed AI model will estimate a safety score for roads by analyzing images to detect potential hazards for cyclists. The model will then use this data to automatically process images based on Google Street View, widening the scope of analysis to a national scale. (The call for data is still open and actively looking for contributions. If you would like to contribute any known dangerous hotspots for cycling, you can submit your information here).
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