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
Methodologies to Quantify Transit Performance Metrics at the System-Level
Travis Glick
Performance metrics have typically focused at two main scales: a microscopic scale that focuses on specific locations, time-periods, and trips; and, a macroscopic scale that averages metrics over longer times, entire routes, and networks. When applied to entire transit systems, microscopic methodologies often have computational limitations while macroscopic methodologies ascribe artificial uniformity to non-uniform analysis areas. These limitations highlight the need for a middle approach.
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Understanding Human-centered AI through Data Integration and Analytics
David Yang
Human Centered Artificial Intelligence (HCAI) is an approach to developing and implementing Artificial Intelligence technology applications that focuses on the needs of individuals and communities who utilize these applications. This project intends to develop course modules and tools for students to understand human-centered AI methods and data requirements, conduct specific mobility analysis using AI-empowered technologies, and build multimodal technology solutions to improve mobility. The ...
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