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

Automated Detection, Tracking, and Safety Analysis of Pedestrians and Cyclists Using YOLOv9

Banafsheh Rekabdar Sirisha Kothuri , Nathan McNeil
This applied research project aims to adapt and further train YOLOv9 to enhance its ability to accurately detect, track, and count cyclists and pedestrians in video data from the Portland Metro Area. The method will also extract surrogate safety metrics, such as Post Encroachment Time, which are crucial for assessing conflicts and designing safer, more efficient transportation facilities. By analyzing these interactions during daylight, the project seeks to deepen our understanding of active… Read More

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… Read More