Learn about the methodology behind sourcing, analyzing, and converting our data into useful metrics. Our validations and those from independent third parties confirm the reliability of our location-based services (LBS)-data derived Metrics for transportation applications.
Browse a sample of our third-party validations
See What Powers StreetLight’s Bus and Rail Metrics
Get the data sources, methodology, and validation behind StreetLight Data’s Bus and Rail Metrics, now included in our Multimode subscription.
Larger and More Representative Sample Size
See how the Location-Based Services (LBS) data that drives the StreetLight InSight® platform has an equitable and representative sample size across the country.
StreetLight SB 743 Metric Methodology and Validation
See the data sources, methodology, and validation processes StreetLight used to develop a set of VMT measurements to address California Senate Bill 743.
StreetLight VMT Monitor Methodology and Validation White Paper
This white paper outlines our motivation, methodology, and some validation results for StreetLight Data’s daily Vehicle Miles Travelled (VMT) Monitor.
StreetLight AADT 2019 Canada Methodology and Validation White Paper
When you’re looking for up-to-date AADT counts in your Canadian provinces, turn to StreetLight to get quick, easy, cost-effective AADT measures. Our 2019 metric is an update to our previously released 2018 metric, and it continues to outperform industry-standard accuracy targets.
AADT 2019 Methodology and Validation
StreetLight Data developed an accurate AADT for over four million miles of urban and rural roadway in the U.S. that outperforms industry-standard accuracy targets and can be used by industry practitioners for traffic impacts studies and more.
Traffic Volume Methodology and Validation White Paper
Our white paper shares technical details about the methodology, algorithm development, validation, and data sources used in our traffic Volume output.
Enriching Household Travel Surveys with Big Data Metrics
Travel surveys are best at capturing subjective, not objective, information. Learn how Big Data gathers fast and accurate measurements for transportation studies.