A partnership between transportation officials in Ann Arbor and Velo AI has led to a groundbreaking bicycle safety study utilizing on-bike cameras called 'CoPilots'. These cameras collect data on near-miss incidents and analyze drivers' behavior, vehicle types, and other traffic dynamics. The gathered data translates into 'stress scores', helping to visualize risk areas for cyclists. This innovative approach aims to enhance bike infrastructure based on real-time insights rather than solely relying on accident statistics, thereby promoting proactive safety measures and advocacy for improved cycling conditions.
A new technology is empowering advocates to gather critical data on bike infrastructure needs by transforming bicycles into data collection tools during rides.
Velo AI's CoPilots use AI and computer vision to analyze near-misses, vehicle types, and passing distances to improve bike safety in cities.
Data from bike-mounted cameras provides insights into traffic conditions and helps identify where new bike paths should be developed.
With AI, advocacy groups can quickly identify and respond to areas of concern, potentially preventing accidents before they happen.
#bike-safety #artificial-intelligence #data-collection #transportation-infrastructure #urban-planning
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