Advancing Human-Centered AI for Safe and Resilient Transportation Systems
Mission
The Transportation Informatics Lab is dedicated to advancing human-centered AI for safe and resilient transportation systems. By integrating human behavior insights with emerging technologies, we develop data-driven, human-aligned approaches and systems to address transportation risks, ranging from everyday safety to extreme-event resilience.
LATEST NEWS
2026
Feb
Our paper titled "Modeling Interactive Car-Following Behaviors of Automated and Human-Driven Vehicles in Safety-Critical Events: A Multi-Agent State-Space Attention-Enhanced Framework" was accepted by Accident Analysis & Prevention.
2026 Jan
Our paper titled "Modeling Interactive Crash Avoidance Behaviors: A Multi-Agent State-Space Transformer-Enhanced Reinforcement Learning Framework" was accepted by Accident Analysis & Prevention.
2025 Dec
Transportation Informatics Lab received a research grant from Virginia Department of Transportation, aiming to advance the safety of pedestrians and cyclists.