digital twin

Sensor-informed Generative Digital Twin: High-fidelity Simulation for Sustainable Transportation and Policy Validation

  • Principal Investigator Hang Qiu, Ph.D.
  • University of California, Riverside
This project will develop a sensor-informed generative digital twin that integrates real-world data from the Riverside Innovation Corridor’s sensor network. By continuously integrating real-time sensory inputs, the platform can be used to create high-fidelity scenarios and simulate rare and challenging transportation dynamics.
Project Status
In Progress