Collecting Driving Data to Support Mobile Source Emissions Estimation

Abstract

This paper describes a new sampling approach to collect driving data. Traditional data collection assesses the percentage of vehicle miles traveled by road facility and time of day, and collects data in proportion to how real-world driving occurs. While the traditional approach is reasonable, it would be better to establish statistical targets. Statistical targets minimize uncertainties about how well data represent real-world driving and allow confidence levels to be computed. We illustrate statistical sampling with a California study that collected over