---
title: All Vehicles CVD+ Volume Methodology and Validation
description: Technical details about the methodology, algorithm development, validation, and data sources used in StreetLight’s traffic volume output for the U.S.
---

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# WHITE PAPER

## All Vehicles CVD+ Volume Methodology and Validation

 

![All Vehicles CVD+ Volume](https://learn.streetlightdata.com/hs-fs/hubfs/White%20Papers/All%20Vehicles%20U.S.%20Volume%20Methodology%20and%20Validation/All%20Vehicles%20CVD%2B%20Volume.jpg?width=230&height=298&name=All%20Vehicles%20CVD%2B%20Volume.jpg)

This white paper provides technical details about the methodology, algorithm development, and validation of our traffic All Vehicles CVD+ Volume output for the U.S, powered by [Connected Vehicle data](https://www.streetlightdata.com/our-data/).

[StreetLight](https://www.streetlightdata.com/)’s [All Vehicles Volume](https://www.streetlightdata.com/traffic-volume-data/) output for the U.S. enables analyses with Annual Average Daily Traffic (AADT), Annual Average Hourly Traffic (AAHT), and Monthly Annual Daily Traffic (MADT) counts. Planners, engineers, and other transportation experts can now access hourly, daily, weekly, and monthly traffic volume counts using StreetLight InSight®️. 

StreetLight is a mobility analytics company that helps public agencies, engineering firms, and private sector organizations plan, build, and operate smarter transportation infrastructure.  

Download our white paper to learn why experts trust StreetLight’s traffic All Vehicles CVD+ Volume output for quick, easy, and affordable transportation analyses. The paper describes the data sources, modeling, and validation underlying StreetLight's CVD+ Volume counts. As an example of the strength of these counts, the correlation between StreetLight All Vehicles CVD+ MADT and counter MADT by year has an R2 value of 0.98. 

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