This research is aimed at developing and evaluating eco-friendly intelligent transportation systems strategies for freight vehicles and traffic, with a focus on strategies that are applicable to the transportation systems in the South Coast Air Basin.
The goal of the current study is to establish a test method and analysis for brake activity measurements of heavy-duty vehicles. In this study, brake fluid pressure and brake pad temperature were measured for a heavy-duty vehicle during chassis and on-road driving tests.
The goal of this study is to investigate the combined impact of fuel type, after treatment strategies, and driving mode on primary and secondary emissions form heavy duty vehicles.
This study demonstrates a model framework that combines a microscopic traffic simulation with emissions and microscale dispersion models to quantify the potential impacts of truck-only lanes on fuel consumption, emissions, and near-road pollutant concentrations.
In this research project, the research team developed an environmentally-friendly driving feedback system for heavy-duty trucks, which was adapted from a similar system previously developed for light-duty cars.
Researchers developed a variety of eco-driving technologies for trucks. They then tested how effective these technologies were in reducing emissions and fuel consumption.
The NCST congratulates our UC Riverside and UC Davis dissertation grant and graduate fellowship recipients for the Fall 2020 cycle! Our recent awardees are contributing to research on electric vehicle charging infrastructure, pavement performance, highway traffic management, ridehailing, and disaster modeling!
This research will update to the spreadsheet version of the Fuel and Emissions Calculator (FEC) to Version 4.0. The update will incorporate the emission and energy use rates from the latest version of the EPA's MOVES 4.0 regulatory model for conventional and electric vehicles, utilizing the latest matrices from MOVES-Matrix 4.0 (also developed by the research team) and associated source type technology parameters.
The Fuel and Emissions Calculator (FEC) is an operating-mode-based, life-cycle energy and emissions modeling tool developed by Georgia Institute of Technology researchers.
This research will improve long-term sustainability by identifying how and why (or why not) transportation electrification (TE) projects align with regional and local transportation goals. The research will result in a deep dive case study that can serve as a template for evaluating future TE expenditures with respect to identifying and quantifying disadvantaged community benefits.
