Webinar: Applications of Integrated Energy and Emissions Modeling Tools

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Dr. Randall Guensler – Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology
Hanyan (Ann) Li – Ph.D. Student, School of Civil and Environmental Engineering Georgia Institute of Technology

Event Overview

From 2016-2018, Georgia Tech researchers worked with the US Department of Energy’s ARPA-E TRANSNET program team to develop a systems model designed to help minimize surface transportation energy consumption. The modeling approach integrated real-time and historic traffic data, big data analytics, and a control architecture to interact with users. The team coupled a historic space-time memory of traffic conditions with Python-based models to predict ‘shortest-path’ multi-modal trajectories through evolving congestion conditions. The TRANSNET system compares travel time, cost, energy, and emissions tradeoffs across alternative modes, departure times, and routes, given observed and predicted traffic conditions. The energy consumption and emissions for each alternative trajectory through the system are modeled using tools developed in NCST-supported research efforts.

In this webinar, Dr. Guensler presented an overview of the various NCST-supported modeling tools that allowed the research team to model on-road and lifecycle energy use and emissions for the TRANSNET project. Hanyan (Ann) Li, a Georgia Tech Ph.D. candidate, then provided an overview on the integration of NCST modeling tools into her dissertation work to optimize route assignment and recharging station placement for battery-electric transit buses.

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Related Publications

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