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

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. Read More

Using Time-Series Analysis to Precisely Identify and Rank Road Hotspots

Alexander Lee Wei Lin
Over the past decades, many ranking methods have been proposed. However, results vary from method to method, and one of the issues behind ranking is the element of subjectivity. One approach to resolve these issues is the use of combined models. One of the combined models is the Enhanced Empirical Bayesian (EB) method that incorporates the use of the similarity measure based on the Proportion Discordance Ratio (PDR). This model is developed to assess and objectively quantify similarity among… Read More