Bicycle transportation planning requires reliable counts for bicycle movements. But cities, towns, and states struggle with bicycle data gaps for all road types.
We have recently enhanced our multimode algorithm methodology, resulting in upgraded Bicycle Volume Metrics that represent an estimate of real-world traffic for all types of roads, from urban commuting bike lanes to trails. Our results measuring bicycle activity are proven against permanent counters. Learn more about our methodology and validation, including:
- Our process for mode classification to identify active transportation movements
- The proprietary machine-learning methodology for estimating Bicycle Volume
- Validation studies comparing StreetLight’s Metrics against permanent sensors