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
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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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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