Proven metrics, used in all contiguous United States*, Canada and Mexico
Used in all top 25 MSAs in the U.S. and top 15 MSAs in Canada, StreetLight’s data has been validated against public, external sources incl. permanent sensors, household surveys, license plates, bluetooth scanning, and the Census. Additional validations with clients and partners using private data also support our accuracy.
* Projects in all lower 48 states;
Data not available in Hawaii and Alaska
Monthly transportation analyses
Coverage of Traffic Analysis Zones
Accuracy of vehicular data
Our AADT metrics have been validated by 9,160+ permanent counts across the U.S. and 1,800+ across Canada, with an R2 of .96. Both absolute and root mean square error rates for our AADT exceed industry targets.
Accuracy of bike and pedestrian data
We’ve compared our metrics to permanent bike and pedestrian counters in San Francisco’s monitoring program, one of the most comprehensive in the U.S. The density of trip activity matches our expectations of bike and walk activity across the city.
Our metrics continue to be validated repeatedly against independent public and private data sets, incl. counters from a multi-county agency managing a network of trails and paths. For both bike and pedestrian data we see high R² values.
Peruse our methodology and validation library
Accurate Big Data metrics rely on complex machine learning that trains StreetLight’s proprietary algorithms, with validation a critical component of wide adoption.
We invite you to explore our whitepapers, share them with your stakeholders, and take part in our journey to bring on-demand empirical data to North America’s transportation decisions.