emissions

In this project, the researchers survey a variety of traffic operation strategies that have both an indirect energy-emissions benefit as well as strategies that are developed specifically for reducing energy consumption and emissions.

In this study, both stationary and comprehensive mobile monitoring platforms were developed to measure PM concentration and traffic conditions on some major highways in Southern California. The main objective was to develop a set of alternative metrics that measure particle concentrations as well as particle size.

In this study, the researcher team proposes to conduct research on the impacts of SAEVs specifically on lower income and disadvantaged communities in California.

This project aims to utilize detailed travel behavior data to calculate time-specific regional demand for electric vehicle charging, specifically for the New York/New England region.

In this work, a modeling framework of population exposure to PM2.5 with high spatiotemporal resolution is proposed and applied to the region of Atlanta, GA for environmental equity analysis.

This study addresses two issues: 1) how road grade impacts vehicle speed and acceleration distributions, and how such distributions vary across vehicle types, roadway types, traffic conditions, etc.; and 2) how significant the impact of integrating grade interactions is with respect to energy, emissions, and air quality modeling.