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Social and Behavioral Sciences Commons

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Engineering

Portland State University

TREC Final Reports

Transportation -- Oregon -- Planning

Publication Year

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Full-Text Articles in Social and Behavioral Sciences

Disseminating The Sustainable City Year Program (Scyp) Education Model, Nico Larco, Marc Schlossberg Apr 2016

Disseminating The Sustainable City Year Program (Scyp) Education Model, Nico Larco, Marc Schlossberg

TREC Final Reports

The University of Oregon has developed a catalytic learning model that simultaneously meets the needs of both the next generation’s transportation workforce and cities looking for innovative and catalytic ways to advance a new era of transportation goals. Named the Sustainable City Year Program (SCYP), the model links local community priorities (as expressed through local plans and city council goals) with courses from a range of disciplines at a nearby university. The UO program engages 500+ multidisciplinary students annually in providing 60,000+ hours of work to city-identified projects using the existing administrative systems of both universities and local communities.

This …


Exploratory Methods For Truck Re-Identification In A Statewide Network Based On Axle Weight And Axle Spacing Data To Enhance Freight Metrics, Christopher M. Monsere, Mecit Cetin, Andrew Nichols Feb 2011

Exploratory Methods For Truck Re-Identification In A Statewide Network Based On Axle Weight And Axle Spacing Data To Enhance Freight Metrics, Christopher M. Monsere, Mecit Cetin, Andrew Nichols

TREC Final Reports

The main objective of this project is to evaluate the feasibility of re-identifying commercial trucks based on vehicle-attribute data automatically collected by sensors installed at traffic data collection stations. To support this work, archived data from weigh-in-motion (WIM) stations in Oregon are used for developing, calibrating, and testing vehicle re-identification algorithms. The vehicle re-identification methods developed in this research consist of two main stages. In the first stage, each vehicle from the downstream station is matched to the most “similar” upstream vehicle by using a Bayesian model. In the second stage, several methods are introduced to screen out those vehicles …