Establishing Right-of-Way Standards for Roundabouts in the City of Calgary, Canada
Bibliographic record
Abstract
Although roundabouts have been used in Calgary, Canada in a number of applications, until recently there was no formal policy or direction to pursue roundabouts for traffic control. In 2006, the city began to develop a roundabout guide. As part of this effort, standard roundabout concepts were developed of existing roadway cross sections and the identification of right-of-way requirements for various intersection types. This article discusses the process and provides background information on the application of roundabouts in a medium-sized urban region. Two critical decisions were reached early in the process: (1) defining what level of traffic necessitated a traffic calming circle versus a roundabout; and (2) allowing design engineers flexibility when creating new intersection designs. The process considered the needs of various stakeholders. The standard requires additional right of way for undivided and divided roadways. Current right of way is sufficient to accommodate single or multilane roundabouts. The city of Calgary currently is working to address other outstanding issues related to roundabout implementation in order to ensure a consistent approach in the future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".