INSPIRE Lab Presents Two Posters at CTR Symposium 2026

On April 8, 2026, INSPIRE Lab presented two research posters at the Center for Transportation Research (CTR) Annual Symposium at UT Austin, showcasing recent work on electric vehicle evacuation and autonomous vehicle identification.

Presentation 1 EV Evacuation

Express Charging Lanes for Electric Vehicle Evacuation

Presenter: Mohammad Reza Ghorbanali Zadegan · Advisor: Dr. Zhaomiao Guo

The poster proposed express charging lanes to separate EVs by charging demand at charging stations during evacuations. Two operational frameworks were analyzed — System Optimal (centralized) and User Equilibrium (decentralized) — demonstrating that express lanes can reduce total evacuation delay and improve system performance without adding new infrastructure.

Reza presenting alongside Dr. Guo at the CTR Symposium

Presentation 2 Autonomous Vehicles

SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification

Presenter: Xiangyu Li · Advisor: Dr. Zhaomiao Guo

The poster introduced a zero-shot LLM framework that discovers and verifies interpretable behavioral rules for autonomous vehicle (AV) analysis from roadside traffic videos. Using YOLOv26 + ByteTrack trajectories and kinematic/context features, the framework builds a verified library of 20 rules and achieves strong AV identification performance — offering a transparent alternative to opaque classifiers.

Xiangyu presenting the SVBRD-LLM framework with Reza