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“Connected bike data”: unlocking cycling insights for more sustainable cities
The rapid rise of e-bikes presents an opportunity to enhance urban mobility. However, unlike the automotive sector, the cycling industry lacks real-time, connected data insights. The Spinovate project, led by See.Sense, aims to address this gap by leveraging AI-powered sensor technology to create a fully connected cycling ecosystem. This initiative will generate valuable data on […]
Connected vehicle data for traffic optimisation and public transport prioritisation
Efficient urban mobility is essential for modern cities, but it remains a significant challenge. WISP, an AI-driven traffic management solution, aims to tackle this issue by optimising traffic lights without requiring additional hardware. This innovative system leverages real-time data from connected vehicles to improve traffic flow, reduce waiting times, and cut emissions. Costly and inefficient […]
EIT Community’s AI Challenge: Transformative Triumphs Unveiled
The EIT AI Community hosted the AI Challenge closing event in December 2023, where several start-ups pitched their solutions to the business challenges handed in by organisations during the year. EIT Urban Mobility’s partners Braga and MOVEN were the winners of the “Urban mobility mode prediction challenge”, presenting a solution that implies a significant impact […]
