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 ...
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Narratives of Marginalized Cyclists: Understanding Obstacles to Utilitarian Cycling Among Women and Minorities in Portland, Oregon
Amy Lubitow
Everyday cycling for transportation can have positive, population-level health impacts. Significant deterrents to cycling remain, however, particularly for women and minorities. Narratives of Marginalized Cyclists, a NITC project conducted by Amy Lubitow of Portland State University, explores the experiences of women and minorities biking in Portland, Oregon. Lubitow interviewed 28 Portlanders who self-identified as a woman or as a racial/ethnic minority (or both), and based on the insights g...
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