Conferences & Talks MINDxAI Lab Presents Two Posters at TRB Annual Meeting 2026
Transportation Research Board Annual Meeting 2026
The MINDxAI Lab shared two poster presentations at the Transportation Research Board Annual Meeting 2026, featuring recent research on human factors and autonomous driving as well as prior collaborative work in transportation safety.
Poster 1 | MINDxAI Lab
The Impact of Autonomous Vehicle Aggressiveness on Human Driver State and Behavior Measures in Mixed Traffic
This poster presents recent MINDxAI Lab research examining how varying levels of autonomous vehicle aggressiveness influence human drivers' cognitive state and behavioral responses in mixed traffic.
- Poster Session: 3068 - Human Factors Research Medley 1
- Date and Time: Tuesday, January 13, 2026, 10:30 AM - 12:15 PM
- Location: Convention Center, Hall A
- Poster Board: B524
- Submission ID: TRBAM-26-02873
Poster 2 | Prior Collaboration with NCSU ITRE
Driver Behavior Analysis at Alternative Intersection Corridors Through Driving Simulators
This work was developed during Dr. Liu's Ph.D. in collaboration with the Institute for Transportation Research and Education at North Carolina State University. It investigates how alternative intersection corridor designs affect driver behavior and safety-relevant responses using high-fidelity driving simulator experiments.
- Poster Session: 3166 - Human Factors Research Medley 2
- Date and Time: Tuesday, January 13, 2026, 6:15 PM - 7:45 PM
- Location: Convention Center, Hall A
- Poster Board: B420
- Submission ID: TRBAM-26-03842
From Dr. Liu:
Excited to share that we have two poster presentations at the Transportation Research Board Annual Meeting 2026, featuring our latest MINDxAI Lab research on human factors and autonomous driving, as well as prior collaborative work in transportation safety.
For the MINDxAI Lab poster, I thank all collaborators, especially Brian Yueshuai He and Tony McDonald, for their interdisciplinary collaboration, and our students for their hard work. Special thanks to my Ph.D. student Yan Chen, who led the submission.
For the prior collaboration with ITRE, many thanks to all collaborators, especially Guangchuan Yang, Thomas Chase, and Chris Cunningham, for leading the submission.