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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Effect of Residential Street Speed Limit Reduction from 25 to 20 mi/hr on Driving Speeds in Portland, Oregon
Christopher Monsere Sirisha Kothuri , Jason Anderson
In 2015, the City of Portland adopted Vision Zero's objective of eliminating transportation-related fatalities and serious injuries. Speed, through analysis of crash data, was determined to be a contributing factor in 47% of the fatal crashes observed in Portland. Thus, one of the pillars in the Vision Zero Action Plan is reductions in motor vehicle speeds. The Portland City Council approved an ordinance reducing the speed limit on all residential streets to 20 miles per hour (mph) in January…
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