Design and Implementation of Slot Left-Turn Lanes on the Manitoba Highway Network
Bibliographic record
Abstract
Provincial Trunk Highway (PTH) 12 in the City of Steinbach, Manitoba, is a 4-lane divided roadway. As it was originally designed to expressway standards, the medians are wide to provide appropriate separation of traffic. Making direct left turns from PTH 12 is problematic because the large intersection footprint results in poor sightlines when signalized and adds to driver confusion, with many drivers making left turns by passing opposing left-turn traffic on the right. The City of Steinbach has seen rapid growth over the past decade, and development along PTH 12 has necessitated the improvement of operations at several intersections. Manitoba Infrastructure and Transportation (MIT) has begun implementing slot left-turn lanes in an attempt to remediate these issues. Three intersections in Steinbach have received this treatment over the past seven years and public reaction appears to be positive. Proper selection of design speed and vehicle are crucial when designing slot left-turn lanes. Furthermore, signage and lane markings must be appropriate for both seasoned urban drivers and rural drivers who are unfamiliar with this form of channelization. The configuration and location of a raised divisional island must take into account maintenance (snow clearing) and emergency vehicle access. MIT has used the knowledge gained in designing, constructing and operating slot left-turns to refine the design for future applications. (A) For the covering abstract of this conference see ITRD record number 201310RT334E.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".