On-road heavy-duty diesel particulate matter emissions modeled using chassis dynamometer data.
This study presents a model, derived from chassis dynamometer test data, for factors (operational correction factors, or OCFs) that correct (g/mi) heavy-duty diesel particle emission rates measured on standard test cycles for real-world conditions. Using a random effects mixed regression model with data from 531 tests of 34 heavy-duty vehicles from the Coordinating Research Council's E55/E59 research project, we specify a model with covariates that characterize high power transient driving, time spent idling, and average speed. Gram per mile particle emissions rates were negatively correlated with high power transient driving, average speed, and time idling. The new model is capable of predicting relative changes in g/mi on-road heavy-duty diesel particle emission rates for real-world driving conditions that are not reflected in the driving cycles used to test heavy-duty vehicles.
Kear
Tom
T
Department of Civil and Environmental Engineering, One Shields Avenue, University of California, Davis 95616, USA.
Niemeier
D A
DA
D008962:Models, Theoretical; D001335:Vehicle Emissions
D001335:Vehicle Emissions