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 tool is for fleet managers who want to better predict the benefits of low-rolling resistance (LRR)tires for both constant and transient speed operations.
This paper examines the relationship between support for the proposition, political ideology and the economic burdens imposed by the 2017 Road Repair and Accountability Act.
This report studies the effects and efficiency of two fuel mandates, a renewable share mandate and a carbon intensity standard, as well as the effects of two cost containment provisions.
This project used intelligent transportation system technologies in order to improve impact on the environment by reducing fuel consumption and pollution levels in areas where the truck volume is relatively high.
This study projected the introduction of battery-electric and fuel cell technologies into the medium-duty and heavy-duty vehicle markets and identified which markets will be most suitable for each of technologies and the factors which will be most critical to their successful introduction.
In this paper, researchers discuss important design elements of low carbon fuel standard policy, and provide a background on prominent policies that are currently enacted or proposed.
This study introduces a deep neural network tool to enable BEV drivers to make charging sessions align with the availability of cleaner energy resources.
This study aims to develop a Recurrent Neural Network (RNN), an artificial neural network that is highly effective at learning sequential data such as trip logs, to forecast EVs’ trip destinations and charging behavior—information that is essential for electricity load aggregators to effectively manage charging loads.
In this webinar, speaker Dr. Yanzhi “Ann” Xu provided an overview and demonstration of the capabilities and potential applications of the Fuels and Emission Calculator (FEC) as well as provide participants an opportunity to ask questions.
