energy

This dissertation focuses on observed behavior of current PEV users. Three studies are presented that seek to improve our understanding of PEV driving and charging typified by two levels of disaggregation- vehicle level and household level.

This research assessed the changes in Metropolitan Atlanta Rapid Transit Authority (MARTA) service configurations by reviewing the pre-pandemic vs. during-pandemic General Transit Feed Specification (GTFS) files.

This paper examines mechanisms for autonomous vehicle-induced increases in vehicle miles traveled (VMT) – some of which are expected to have a disproportionately larger impact on rural VMT – and outlines five methods that have been used to study VMT changes: travel demand equalization; travel demand elasticity; travel demand models; and stated and revealed preference surveys.

This dissertation focuses primarily on the system analysis of critical infrastructure systems (CIS), with a particular interest to address the modeling and computational challenges brought by uncertainties, interdependencies and distributed decision making of various components and stakeholders involved in CIS.

The results dataset used to populate the analyses presented in the report, "Combined Effect of Changes in Transit Service and Changes in Occupancy on Per-Passenger Energy Consumption". 

The researchers study the relationship between support for the proposition, political ideology and the economic burdens imposed by the 2017 Road Repair and Accountability Act.

This dataset stems from the project "Deep Learning-based Eco-driving System for Battery Electric Vehicles".

This dataset is the MOVES-Matrix emission rates for the NCST project of Energy and Emissions Impacts of Atlanta’s Reversible Express Toll Lanes and High-Occupancy Toll Lanes, developed by the research team at Georgia Institute of Technology.

This repository stores the data for the NCST project titled "EVALUATE: Electric Vehicle Assessment and Leveraging of Unified models toward AbatemenT of Emissions, Phase I." The project explores electric vehicle (EV) and grid interactions with a focus on CO2 emissions for future scenarios where EVs comprise growing market shares.

This repository stores the data of the NCST project titled "EVALUATE: Electric Vehicle Assessment and Leveraging of Unified models toward AbatemenT of Emissions, Phase II." Phase II focuses on forecasting emissions outputs through targeted case studies that extend prior work from light duty vehicles operated by individuals to service-oriented vehicles operated by small and medium businesses.