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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Using Maps and Online Tools to Operationalize Equity in Shared Mobility Services
Amanda Howell Anne Brown
This project translates research into practice through developing two practitioner-ready tools using findings from NITC project #1401 “Mobility for the People: Evaluating Equity Requirements in Shared Mobility Programs”. In “Mobility for the People,” we confirmed our hypotheses that while many US cities implement shared mobility program equity requirements, specific requirements range dramatically. In addition, many requirements are not supported by data collection efforts and evaluation…
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