A Meta-Analysis of Eco-Driving Feedback Research

  • Principal Investigator Angela Sanguinetti, Ph.D.
  • University of California, Davis
This white paper presents a statistical meta-analysis of eco-driving feedback studies, with special focus on feedback interventions and how they impact fuel economy.
Project Status

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