energy

Deep Learning-Based Optimization of Eco-Driving Strategies with Connected and Autonomous Electric Vehicles on Transportation Networks

  • Principal Investigator Fengxiang Qiao, Ph.D.
  • Texas Southern University
This project will help both transportation and environmental agencies at all levels, and car manufacturers, to understand the design, operation, and impacts of optimal eco-driving strategies. The project will provide urgent science and test-based input to inform policy and practice development.
Project Status
In Progress

Distributive justice impact assessment using activity-based modeling with path retention

Research Product Type
Dissertation / Thesis
The research objectives of this dissertation are to develop a modeling framework within an advanced activity-based travel demand model that can be used to assess the distribution of transportation cost and benefits across communities of interest and implement a data structure and variable tracking system that can be implemented within and across various modeling tools to ensure that data needed for equity assessment transfer between models, and that outputs from combined models can be used to assess equity impacts.

Electric Vehicle Assessment and Leveraging of Unified models toward AbatemenT of Emissions (EVALUATE): Phase II

  • Principal Investigator Richard Simmons, Ph.D.
  • Georgia Institute of Technology
This research will expand on EVALUATE, Phase I by testing the tools developed in that project in an urban area, developing guidance to assist others in using these tools in other regions, and performing technology transfer activities to get the tools in the hands of practitioners and decision makers.
Project Status
In Progress
Subscribe to energy Content