The Transportation Research and Visualization Lab (TRAVL) is a state-of-the-art facility dedicated to the research, training, and education of human interaction with transportation infrastructure using immersive virtual simulation and naturalistic methodologies.
Principal Investigator
Assistant Professor
SUNY University at Buffalo
The Transportation Research and Visualization Lab (TRAVL) has been engineered to address modern and future transportation needs by utilizing immersive virtual simulation and human sensing methodologies and technologies.
Transportation needs can be highly complex, spanning multiple disciplines and priorities. To address these needs, TRAVL was developed to merge methodological research practices, foster institutional collaboration, and promote interdisciplinary approaches to transportation research and development.
Methodological
TRAVL utilizes and merges multiple methodological approaches including real-world experimentation, immersive virtual simulation, stated preference feedback, and physiological sensing to comprehensively explore nascent transportation designs, technology, and infrastructure.
Institutional
Cross-institutional collaboration is paramount for addressing transportation needs and inform policy and decision making. TRAVL aims to foster collaboration between academic research, policy makers, industry workers, and state, local, and federal government.
Interdisciplinary
TRAVL promotes interdisciplinary projects, research, and development including, but not limited to, transportation safety, roadway design, human factors, computer science, software engineering, rehabilitation, clinical research, training, and education.
Some of the capabilities of TRAVL include:
Designing and testing alternative roadway safety treatments prior to construction
Developing and testing connected and autonomous vehicle communication technologies prior to deployment
Using human-in-the-loop methodologies to improve autonomous vehicle behavior models in safety critical scenarios
Evaluating and designing Advanced Driver Assistance Systems performance and functionality with human-in-the-loop feedback
Utilizing virtual, mixed, and augmented reality to interact with immersive virtual environments
Replicating real-world locations and operations as digital twins
Investigating multimodal datasets to better understand human behavior, safety, and perception and much more!
Want to contract us for your research?
Email me at avangulo@buffalo.edu!
101 & 102 Ketter Hall
University at Buffalo, North Campus, Buffalo, New York
UB Hosted Official Lab Webpage: https://www.buffalo.edu/istl/research/research-facilities/travl.html
Email: travlsunyub@gmail.com