This project involves expanding prior analysis of the Georgia I-75/I-575 Northwest Corridor Express Lanes by performing an energy use and emission assessment for these Express Lanes against the GP lanes on a per VMT basis. The tools and results from this project will support assessment and public outreach efforts related to expansion of Georgia’s Express Lanes systems.
This research advances the ongoing development of a real-time, data-driven, transportation simulation tool for a connected infrastructure environment, capable of estimating two environmental performance measures: energy consumption and CO2emissions.
The proposed research examines the financial state of the practice for sidewalk asset management in the United States, taking economic, social and legal costs into consideration.
This research project links Georgia Tech’s newest shortest path calculator, BikewaySim, with the finished shortest path calculator for public transportation, TransitSim.
In the research, smart charging will be explored in the larger context of electric vehicle fleets carrying freight and/or people to assess its potential to again decrease charging costs, increase carbon-free energy usage, decrease spatially-concentrated peak demands on the grid, and lower infrastructure investment.
This study will develop a framework that integrates an activity-based travel demand model with path retention, an emissions model (MOVES Matrix) and demographic analysis system (Population Synthesis).
This research will implement a commuter survey targeting at NWC Express Lane users and non-users to identify factors influencing observed travel behavioral changes, which includes shifts in commute travel routes and changes in shared ride activities.
This reserch will quantify sustainable sidewalk infrastructure costs for the City of Atlanta, assuming a 40-year life-cycle for repair and replacement.
This research will develop a framework to combine several data sources (licensed household marketing demographics data, vehicle registration data, and license plate observation data) to generate sub-region synthetic fleets.
