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.
Research Highlights
Machine Learning and Big Data-Based Approaches for Quality Freeway Volumes
Adrian Cottam
Traffic volumes are essential for the operation of Intelligent Transportation Systems (ITS) and for use in performance metrics for Transportation Systems Management and Operations (TSMO). Maintaining high quality freeway volumes is paramount to ensure that freeway ITS solutions, such as ramp meters, operate smoothly. Furthermore, freeway performance metrics need quality volume data to provide an accurate portrayal of real-world conditions.
This dissertation focuses on improving the quality of…
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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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