1 UNCONVENTIONAL ARTERIAL DESIGN Jughandle Intersection Concept for McKnight Boulevard in Calgary
Bibliographic record
Abstract
ABSTRACT: A functional planning study was initiated along McKnight Boulevard by the City of Calgary in response to the growing traffic and peak hour congestion routinely experienced along the corridor. The objective of the study was to identify and define, the most suitable improvements for medium term (2015 horizon) and long-term (2038 horizon) traffic demands, while conforming to a large number of independent constraints. Numerous alternatives were identified, and in due course rejected, due to their inability to adequately address the project requirements or satisfactorily meet stakeholder needs. Ultimately, a conventional intersection design involving widening along the south side of the corridor and the jughandle intersection concept were short listed for further evaluation and comparison. These design alternatives were subjected to a relatively rigorous appraisal that included performance, signing, laning and signalization requirements, property impacts, access and transit requirements, safety considerations, human factors and environmental impacts to name a few. It was found that operationally, the jughandle intersection design has compelling application potential in high volume corridors where local access is required and full grade separation is impractical or too costly. However, the jughandle property acquisition requirements and resulting costs along highly urbanized corridors, combined with their limited implementation experience in North America, can preclude their use in less than optimum circumstances.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".