Zilin Bian
Rochester Institute of Technology
Parallel Digital Twins for Emergency Mobility: Rehearsing Safe and Time-Critical Traffic Decisions.
Full-Day Workshop · IEEE IV 2026 Program
Digital twins across scales
Digital Twins for Intelligent Vehicles
DT-IV: From Agent-Level to System-Level Twins is a proposed full-day workshop focused on how digital twins are reshaping intelligent vehicles, connected infrastructure, and city-scale mobility systems. The program is designed to connect high-fidelity vehicle and scene twins with larger operational twins for corridors, cities, and policy-facing transportation platforms.
Agent-level twins
System-level twins
Emergency mobility
Validation and fidelity
Real-time deployment
09:00–16:00
Program with two 10-minute opening keynotes, 30-minute technical talks, and a 40-minute final technical talk.
2 tracks
Morning focus on system-level twins and afternoon focus on agent-level twins.
Universities + National Labs
Designed to bring together university researchers, national lab teams, mobility testbeds, and transportation digital-twin platforms.
Workshop overview
Scope and aims
The workshop bridges digital twins of individual vehicles and local environments with broader twins of transportation systems, urban operations, and infrastructure management.
What the workshop covers
- Agent-level twins for perception, planning, control, and safety assessment.
- System-level twins for network monitoring, operations, resilience, and policy support.
- Validation, fidelity metrics, and reproducibility across physical and virtual environments.
- Deployment pipelines that connect sensors, simulation, compute platforms, and operational decision support.
Expected outcomes
- Clarify how digital twins connect testing, simulation, and real-world deployment.
- Compare design patterns for multi-scale twin architectures.
- Share practical workflows for data ingestion, synchronization, scenario generation, and evaluation.
- Strengthen collaboration across transportation, robotics, AI, and infrastructure communities.
Final speaker lineup
Program framing
The program is organized around two short opening keynote slots and technical talks spanning emergency mobility, transportation research platforms, connected and autonomous mobility, LLM agents, vehicle-road-cloud integration, mixed-traffic safety, and large-scale 3D urban twins.
Morning Session
System-Level Transportation Twins and Decision Intelligence
Morning talks focus on transportation-scale platforms and decision intelligence, from emergency mobility rehearsal and research infrastructure to CAV evaluation and generative AI for traffic safety.
Lishengsa Yue
Tongji University
Ozone: A Unified Platform for Transportation Research.
Yuankai (William) He
University of Delaware
A Closed-Loop System-Level Digital Twin to Evaluate Connected and Autonomous Mobility.
Yang Zhou
Texas A&M University
From Observation to Imagination: Digital Twins and Generative AI for Traffic Safety.
Afternoon Session
Agent-Level Vehicle-Road-Cloud Twins and Vehicle-in-the-Loop Validation
Afternoon talks shift toward vehicle-road-cloud simulation, LLM agents, Mcity validation perspectives, and ORNL's large-scale 3D urban twin pipeline for vehicle-in-the-loop testing.
Henry X. Liu
Afternoon Opening Keynote · University of Michigan, Mcity
Opening keynote for the afternoon session, connecting test-facility twins, intelligent mobility validation, and system-scale transportation deployment.
Jiawei Wang
University of Michigan
Uncovering Unknown Unsafe Events through Generative Simulation for End-to-End Autonomous Vehicles.
Tianming Liu
University of Michigan
Behaviorally Aligned LLM Agents for Intelligent Transportation Digital Twin.
Hanlin Chen
Oak Ridge National Laboratory
From Data to Digital Twin to Vehicle-in-the-Loop: ORNL's Large-Scale 3D Urban Digital Twin Pipeline for Intelligent Vehicles.
Organizing team
Workshop organizers
The organizing team combines expertise in transportation systems, digital twins, simulation, AI, and intelligent mobility deployment.
Fan Zuo
C2SMART Center, New York University · Lead organizer · fan.zuo@nyu.edu
Hanlin Chen
Oak Ridge National Laboratory · Lead organizer · chenh1@ornl.gov
Zilin Bian
Rochester Institute of Technology · zxbite@rit.edu