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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Deploy Lidar Systems At Intersections To Improve Equitable Mobility
Taylor Li Stephen Mattingly
In this project, the researchers developed a series of technology transfer materials and plan to facilitate to deploy the research findings out of a NITC-funded project titled “Pedestrian Behavior Study to Advance Pedestrian Safety in Smart Transportation Systems Using Innovative LIDAR Sensors”. In that project, the researchers developed and tested a few LiDAR-based disruptive technologies to improve the safety of vulnerable road users (VRU) at intersections. The research findings were later…
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