Updating the Saskatchewan Passing Lane Design Guide for Planning and Prioritization Purposes
Bibliographic record
Abstract
Over the past five to ten years, Saskatchewan has seen above average vehicular and truck traffic growth in a number of areas throughout the province. This increase in traffic, coupled with public safety concerns, has led the Ministry of Highways and Infrastructure (MHI) to investigate the implementation of passing lanes on its two-lane highways as a way to improve overall traffic operations. Typically, a passing lane is a third lane added to a two-lane highway in level or rolling terrain for the exclusive purpose of providing additional passing opportunities where passing is otherwise limited by sight distance and opposing traffic. This can improve overall traffic operations by breaking up traffic platoons and reducing delays and collisions caused by inadequate passing opportunities. Passing lanes normally have high driver compliance, positive driver response, and may be an economically feasible solution to improve level of service and defer twinning of a highway. MMM Group Limited (MMM) was retained by MHI to complete a passing lane location study on Highway 10 between Regina and the Fort Qu’Appelle Valley. The study purpose was to assess the need, configuration and existing roadway geometry of the corridor to identify timely and cost effective passing lane locations. During the study it was determined that the Saskatchewan passing lane design guide required updating and MMM therefore reviewed passing lane design guidelines from British Columbia, Alberta, Manitoba and the Transportation Association of Canada in order to gauge practices in other jurisdictions and their potential applications in Saskatchewan. Subsequently, the MHI design guide was updated to incorporate implementation warrants based on collisions and level of service. The updated guide was used to assess passing lane systems, locations and benefits/costs on Highway 10, and eventually expanded to include the Highway 7 corridor between Saskatoon and Rosetown. Potentially, the updated design guide could be used to evaluate the effectiveness of passing lanes for a number of highway segments throughout the provincial network. This could, in turn, lead to the development of a high level passing lane and twinning prioritization strategy for the Ministry. This paper relates the MHI passing lane design guide update to transportation planning objectives for the provincial highway network.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.041 | 0.017 |
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".