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.
NOTE: If you're looking for projects from our partner campuses, use the NITC research search.
Research Highlights
Improving Accuracy and Precision of Pedestrian Volume Estimates Using Advanced Machine Learning Approaches
Sirisha Kothuri
Banafsheh Rekabdar
Counts provide the foundation for measuring nonmotorized travel along a link or a network and are also useful for monitoring trends, planning new infrastructure, and for conducting safety, health, and economic analyses. Most agencies still use manual counting methods, however over the last decade, several automated technologies have been developed to count bicyclists and pedestrians. Due to cost and other resource considerations, permanent counts are still limited to small subsets of networks...
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Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes
Sirisha Kothuri
Joe Broach , Nathan McNeil , Kate Hyun , Stephen Mattingly
In order to make sure bicyclists' needs are considered when improving a transportation system, planners and engineers need to know how many people are biking, and where.
Traditional bicycle counters can provide data for limited sections of the bike network, often these counters are installed at important locations like trails or bridges. While limited in location, they count everyone who bikes by. Meanwhile, GPS & mobile data cover the entire transportation network, but that data only rep...
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