The way people move around our towns and cities is changing, and data has a key role to play in helping to understand how to manage travel demand and support a modal shift towards greener and cleaner solutions. Until now, the kinds of data available have been limited by static counters, public consultations and online platforms that are not always representative of the people cities are trying to encourage to cycle.
This is where smart cycling projects with See.Sense can support. See.Sense patented AI sensor bike lights can be intentionally deployed to groups of cyclists, including groups that typically under-represented by other forms of data collection. They collect anonymised data on movement patterns, swerving, braking, speed, distance, road surface, and rider incident reporting such as close passes, and infrastructure requests.
Cyclist Survey Report
Journey & Destination Patterns
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