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

Rapidly Expanding Mobile Apps for Crowd-sourcing Bike Data to New Cities

Sean Barbeau Nevine Georggi , Julie Bond
Cities such as San Francisco, Atlanta, and Portland are using novel methods of data collection to learn more about the use of their bicycle infrastructure. These data can help transportation planners better design or upgrade bicycle facilities. San Francisco created an open-source project, Cycle Tracks, a mobile app used to collect bike path data from bicyclists’ smartphones. These data then were used in the SF-CHAMP travel demand model to forecast how attractive Bike Facility A would be… Read More

Unsupervised Approach to Investigate Urban Traffic Crashes Based on Crash Unit, Crash Severity, and Manner of Collision

Farzin Maniei Stephen Mattingly
Both crash frequency analysis (CFA) and real-time crash prediction models (RTCPMs) typically divide a highway into segments with a constant length for data aggregation. Despite the significant impact of the segment length in several previous traffic safety studies, no standard approach exists for determining a recommended segment length for crash data aggregation. This research investigates the impact of fragment size (segment length) on traffic crash data aggregation and establishes a… Read More