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Guanhao Xu, PhD (he/him/his)

R&D Associate Staff
Oak Ridge National Lab
Knoxville, TN, United States

Dr. Guanhao Xu is currently an Advanced Mobility R&D Staff in the Applied Research for Mobility Systems group. His research mainly focuses on urban mobility, traffic operations, network simulation, and traffic signal design. He is currently working on 4 projects:

Real-Twin: a project sponsored by the DOE VTO EEMS program that aims to automatically generate relevant scenarios based on user-specified technology and available real-world data and implement these scenarios into different traffic and vehicle simulation tools and/or XIL to assess the performance and impact of the technologies. In this project, he leads the development of tools that automate the generation and calibration of scenarios for microscopic traffic simulation.

Real-Twin/Real-Sim deployment: a project sponsored by the DOE VTO EEMS program that aims to develop a library of digital twin scenarios for energy-focused connected and automated vehicles (CAV) simulation and evaluation, utilizing cross-lab, EEMS developed capabilities including ORNL’s Real-Sim/ Real-Twin and ANL’s APaCK-V, and through anything-in-the-loop (XIL) evaluation to broadly understand the energy and mobility impacts of various CAV and traffic control strategies. In this project, he leads the development of elevation import tool for digital twin and works on the construction of 3D digital twin based on real world data.

Volvo SuperTruck 3: a project sponsored by the DOE VTO EERE program that aims to develop a virtual simulation of the actual vehicle demonstration of Volvo’s electrified medium-duty (MD) and heavy-duty (HD) vehicle technologies into diverse geographies and climates to assess the overall impacts of Volvo’s commercial vehicle electrification approach to freight system efficiency. In this project, he takes the lead on constructing traffic simulation for a 400-mile highway corridor (I-81).

UA FOA: a project sponsored by the DOE VTO EEMS program that aims to improve network-wide fuel economy and enable traffic signal optimization using infrastructure and vehicle-based sensing and connectivity. In this project, he works on design, construct, and perform vehicle-in-the-loop simulation tests for signal optimization of a real-world corridor.

Before coming to ORNL, he worked on the project Microsimulation of the Emergency Evacuation of Rocky Mountain National Park sponsored by the U.S. Department of the Interior. In this project, he utilized agent-based microsimulation in AIMSUN to analyze the impact of different evacuation strategies and real-world conditions on evacuation speed when an emergency occurs at Rocky Mountain National Park.

Disclosure information not submitted.

Presentation(s):

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