The purpose of this study is to enhance an analytical framework for assignment of individual vehicular trips into viable carpooling/vanpooling trips under a set of reasonable restrictions consideri
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.
This research examines the differentiation between HEV, PHEV and BEV users in Puget Sound Regional Council regarding the aspects of user household socio-demographic attributes, daily travel pattern and energy usage profile.
Findings and implications from this research will inform planners and policymakers of effective measures for the promotion of pooled ridehailing and other sustainable travel behaviors.
This project describes MOVES-Matrix 2.0, which builds upon the previous MOtor Vehicle Emission Simulator to now integrate engine start, soak, evaporative, and truck hoteling emissions.
This study identifies heavily-trafficked freight truck routes of optimal distances in Georgia and quantifies electrification benefits for fleets operating on these corridors by integrating outputs from MOVES Matrix, the Argonne National Laboratory’s GREET Model, the Georgia Tech Fuel and Emissions Calculator (FEC), and other models into a web-based tool.
In this research, widely used car-following models are re-assessed for use in emission/fuel consumption estimation, with their impact on vehicle specific power and instantaneous engine work as comparative indices.
The research team will develop Python code to integrate TransitSim shortest transit path predictions for every origin-destination pair and departure time into regional activity-based travel demand model (ABM) outputs.
