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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Road User Understanding of Bicycle Signal Faces on Traffic Signals
Christopher Monsere Sirisha Kothuri
The latest report from the National Cooperative Highway Research Program (NCHRP), “Road User Understanding of Bicycle Signal Faces on Traffic Signals” (20-07/Task 420), zeroes in on some key gaps in research and practice around road users' comprehension of bicycle-specific traffic signal faces.
Led by Chris Monsere and Sirisha Kothuri of Portland State University, the research team included members from Oregon State University and Toole Design Group. The research team reviewed the current…
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