TREC research addresses complex transportation problems by drawing on multiple disciplines, including engineering, planning, economics and design, from across the Portland State University campus. Use the search box at right to search for a specific project.
NOTE: If you're looking for projects from our partner campuses, use the NITC research search.
Research Highlights
Human Centricity through AI - Innovating Public Engagement for Transportation Projects with Large Language Models
Antonie Jetter
Ameeta Agrawal
Researchers created a qualitative dataset of public planning documents, community comments, forum conversations, newspaper articles, etc., about the SW Corridor Lightrail project in Portland, OR. The team will use this dataset to set up a series of experiments enabled by the ChatGPT4 LLM from Open.AI. This will provide preliminary insights into the potential of LLMs as data interpretation aids.
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Improving Accuracy and Precision of Pedestrian Volume Estimates Using Advanced Machine Learning Approaches
Sirisha Kothuri
Banafsheh Rekabdar
Counts provide the foundation for measuring nonmotorized travel along a link or a network and are also useful for monitoring trends, planning new infrastructure, and for conducting safety, health, and economic analyses. Most agencies still use manual counting methods, however over the last decade, several automated technologies have been developed to count bicyclists and pedestrians. Due to cost and other resource considerations, permanent counts are still limited to small subsets of networks...
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