Opening Remarks and Workshop Goals
Organizers introduce the DT-IV scope, the agent-to-system framing, and the central question of how digital twins can support trustworthy intelligent-vehicle development and transportation operations.
Full-day workshop program
Event Schedule / Details
Times follow the current program sequence. The morning session centers on system-level transportation twins and decision intelligence; the afternoon session centers on agent-level vehicle-road-cloud twins, LLM agents, and vehicle-in-the-loop validation.
Morning Session
System-Level Transportation Twins and Decision Intelligence
Transportation-scale platforms, emergency mobility rehearsal, CAV evaluation, and generative AI for traffic safety.
Morning Opening Keynote
Speaker information to be updated.
Parallel Digital Twins for Emergency Mobility: Rehearsing Safe and Time-Critical Traffic Decisions
Zilin Bian, Rochester Institute of Technology.
Ozone: A Unified Platform for Transportation Research
Lishengsa Yue, Tongji University.
A Closed-Loop System-Level Digital Twin to Evaluate Connected and Autonomous Mobility
Yuankai (William) He, University of Delaware.
Refreshment Break
Informal networking and transition to the final morning technical talk.
From Observation to Imagination: Digital Twins and Generative AI for Traffic Safety
Yang Zhou, Texas A&M University.
Morning Session Q&A
Moderated discussion on emergency mobility twins, transportation research platforms, connected and autonomous mobility evaluation, and generative AI for traffic safety.
Lunch Break
Open networking period.
Afternoon Session
Agent-Level Vehicle-Road-Cloud Twins and Vehicle-in-the-Loop Validation
Mcity validation perspectives, vehicle-road-cloud simulation, LLM agents, and ORNL's large-scale 3D urban twin pipeline for intelligent vehicles.
Afternoon Opening Keynote
Henry X. Liu, University of Michigan, Mcity.
Uncovering Unknown Unsafe Events through Generative Simulation for End-to-End Autonomous Vehicles
Jiawei Wang, University of Michigan.
Behaviorally Aligned LLM Agents for Intelligent Transportation Digital Twin
Tianming Liu, University of Michigan.
Refreshment Break
Transition to the final technical talk.
From Data to Digital Twin to Vehicle-in-the-Loop: ORNL's Large-Scale 3D Urban Digital Twin Pipeline for Intelligent Vehicles
Hanlin Chen, Oak Ridge National Laboratory.
Afternoon Q&A and Closing Discussion
Moderated closing discussion on mixed digital twins, LLM agents, large-scale 3D urban twins, interoperability, and next steps for coupling agent-level and system-level twins.
Current program sequence follows the workshop plan. Opening keynote slots are 10 minutes, technical talks are 30 minutes, and the final technical talk is 40 minutes.