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Research Highlights

Green Waves, Machine Learning, and Predictive Analytics: Making Streets Better for People on Bikes

Stephen Fickas
Marc Schlossberg
Led by Dr. Stephen Fickas of the University of Oregon (UO), transportation researchers are working to give bicyclists smoother rides by allowing them to communicate with traffic signals via a mobile app. The latest report to come out of this multi-project research effort introduces machine-learning algorithms to work with their mobile app FastTrack. Developed and tested in earlier phases of the project, the app allows cyclists to passively communicate with traffic signals along a busy bi... Read More

Accessing Opportunities for Household Provisioning Post-COVID-19

Kelly Clifton
Kristina Currans , Amanda Howell
When the COVID-19 pandemic first swept across North America and led to emergency shutdowns during the spring of 2020, the way people acquired food and household necessities was dramatically impacted. As stay-at-home orders minimized personal travel, transit services were reduced and many stores and restaurants either closed or modified their operations. This NITC grant expanded the scope of the NSF grant (https://trec.pdx.edu/research/project/1445) to allow for data collection in Oregon a... Read More