What data can we capture:

Block by block risk and stress analysis
Risk behavior based on vehicle type (For example: sedan, SUV, truck, bus, etc.)
Risk and overtake behavior based on bicycle infrastructure (For example: shared lane, paint only, curb-protected, etc.)
Example videos of typical vehicle passes as well as outliers to further understand risk
Comparison with additional cities’ data.
What other type of data are you interested in? We’re a nimble team and willing to work on collecting the data that best suits your needs.

Interested in working together to make your streets safer? Email alison@velo.ai to learn more.

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