Helsinki pilot uses AI to boost e-scooter safety
The six-month pilot will equip forty Tier-Dott shared e-scooters with See.Sense’s AI-powered sensors to collect real-time data on braking, swerving, collisions, and road surface conditions. This granular data will enable AI-based risk analysis to identify dangerous locations and risky rider behaviour patterns across the city.
“By using advanced technology, we can help the city gain new information about accidents and near misses, as well as places where risky situations are concentrated,” says Noora Reittu, Senior Project Manager at Forum Virium Helsinki.
The collected sensor data will be integrated into Vianova’s Mobility Data Platform for further analysis alongside other safety indicators. This combined dataset provides an accurate and location-specific picture of where interventions such as infrastructure improvements or targeted enforcement could have the greatest impact on safety.
“Partnering altogether with the City of Helsinki allows us to go beyond reactive safety initiatives and to proactively identify risks thanks to real-time data. We are confident that these insights can help cities design more inclusive infrastructure and make micromobility a reliable choice for everyone,” explains Elina Bürkland, Head of Public Policy Nordics at Dott.
See.Sense emphasises that AI-based micromobility data analytics supports cities in making data-driven safety decisions. “By detecting risks in real time and capturing detailed insights on how infrastructure is experienced by riders, See.Sense technology supports cities in both achieving Vision Zero goals and strengthening the monitoring and evaluation of cycling and micromobility networks,” says Irene McAleese, Co-founder & CSO at See.Sense.
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