Methodology and validation studies

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.

Our most popular methodology and validation reports

StreetLight Methodology

StreetLight Methodology

READ DOCUMENT
AADT 2021

StreetLight AADT 2021 U.S. Methodology and Validation

READ DOCUMENT
Bicycle Volume Methodology

Bicycle Volume Methodology and Validation

READ DOCUMENT
All Vehicles Volume

All Vehicles Volume U.S. Methodology and Validation

READ DOCUMENT

Browse a sample of our third-party validations

Kittelson

Estimating Turning Movement Counts from Probe Data

READ DOCUMENT
Elsevier

Emerging Data for Pedestrian and Bicycle Monitoring

READ DOCUMENT
Uber

StreetLight’s Origin-Destination Data Validation

READ DOCUMENT
Texas A and M

Accuracy of Probe-based AADT Estimates in Border Regions

READ DOCUMENT
Truck Volume Methodology and Validation v3

Truck Volume Methodology and Validation

StreetLight’s Truck Volume is categorized based on vehicle weight classification, utilizes new machine learning algorithms, and meets industry accuracy benchmarks across vehicle categories and road types. Read the white paper for detailed methodology and validation behind the Metrics.

Read Whitepaper
Pedestrian Volume

Pedestrian Volume Methodology and Validation

See how StreetLight’s upgraded Pedestrian Volume estimates are validated to analyze pedestrian activity across time.

Read Whitepaper
All Vehicles Volume - Canada

All Vehicles Canada Volume Methodology and Validation White Paper

Our white paper shares technical details about the methodology, algorithm development, and validation of our All Vehicles Volume output for Canada.

Read Whitepaper
turning movements cover

Intersection Turning Movement Counts 2021 Methodology and Validation

Dive into the validation study comparing StreetLight’s Turning Movement Counts Analysis Volume Metrics against conventional sensor turning movement counts.

Read Whitepaper

StreetLight AADT 2020 Canada Methodology and Validation White Paper

StreetLight’s white paper documents improvements to AADT Canada Metrics, which enable organizations to quickly and easily access 2020 traffic counts for virtually every road across Canada.

Read Whitepaper
StreetLight Speed Validation

StreetLight Speed Validation

See how StreetLight’s 85th percentile Speed Metric stacks up to published speed data from Washington and California agencies.

Read Whitepaper
Bus Rail PDF Cover

Bus and Rail Metrics Methodology and Validation

Get the data sources, methodology, and validation behind StreetLight Data’s Bus and Rail Metrics, now included in our Multimode subscription.

Read Whitepaper
Larger Samples

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.

Read Whitepaper
PDF_Cover

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.

Read Whitepaper
VMT Monitor Whitepaper Cover Page

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.

Read Whitepaper
Travel Surveys White Paper Cover Image

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.

Read Whitepaper

Join the Conversation

Subscribe to Insights & Research