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

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 bike… Read More

Overcoming Barriers for the Wide-scale Adoption of Standardized Real-time Transit Information

Sean Barbeau
Real-time transit information has many benefits to transit riders and agencies, including shorter perceived and actual wait times, a lower learning curve for new riders, an increased feeling of safety, and increased ridership. In the last few years, a real-time complement to the General Transit Feed Specification (GTFS) format, GTFS-realtime, has emerged. GTFS-realtime has the potential to standardize real-time data feeds and lead to widespread adoption for transit agencies and multimodal apps… Read More