Oregon State University – Evaluating Roundabout Performance Using GPS Data

The study responded to trucking industry concerns that certain roundabouts unduly delay traffic. For a nuanced evaluation, we:

  • Identified GPS Events: Isolated vehicle movements around and through the Sisters and Fyfe roundabouts, filtering for relevant turning events and path segments.
  • Developed a Traversal-Time Model: Estimated how long vehicles took to circulate each roundabout, including circular speed dynamics. We used imputation techniques to fill gaps where GPS data was incomplete.
  • Integrated GPS with On‑Site Surveys: Ground surveys were used to validate GPS-derived metrics, ensuring robustness and credibility in the analysis.
  • Compiled a Research Report for ODOT: The study culminated in a formal paper presented to Oregon Department of Transportation, offering unbiased evidence on roundabout delay characteristics with particular emphasis on heavy vehicles.

Impact:

  • Delivered clear, quantitative insights into how trucks and other vehicles move through critical roundabout locations, helping challenge or confirm stakeholder perceptions.
  • Informed ODOT’s operational assessments and potential design refinements.
  • Demonstrated the value of integrating GPS and field observation methods in evaluating traffic control infrastructure.

Additionally, this work complements broader research like OSU’s thesis on roundabout safety performance (i.e., developing safety performance functions for four-leg single-lane roundabouts) Wikipedia+15ir.library.oregonstate.edu+15SCIRP+15ROSA P and ODOT’s SPF-based models for roundabout safety evaluation Oregon+3Oregon+3Oregon+3.

Why Work With Robinsight

Privacy First

We align with New Zealand’s Data Protection and Use Policy and data.govt.nz stewardship standards to protect privacy at every step.

Bespoke Analysis

We start with your specific transport question, then design data pipelines and models to answer it precisely.

Proven Methods

From spatial–temporal matching to machine learning, we apply the right tools to deliver regulator-aligned, decision-ready outputs.