Development of the Highway Hierarchy for Preservation of Provincial Highways in Saskatchewan
Bibliographic record
Abstract
Saskatchewan has a large provincial highway network. It is commonly understood that not all highways have the same level of importance in supporting economic and social activities. It is necessary to establish preservation priorities to provide a safe and efficient highway system using limited resources. A proper highway hierarchy for preservation will ensure that important highways are preserved to an appropriate level under limited funding and the province gets value for the money invested in preservation. Principles and applications of highway hierarchy system have been reviewed. It is found that highways are often classified into different hierarchical systems for different purposes. Although all transportation agencies have a highway functional classification system, it is often not used directly for priority setting of highway preservation program and network performance measurement. This paper describes a study to develop the highway hierarchy for preservation (HHP) in Saskatchewan. Principles of the hierarchy development were established and they include that the hierarchy shall be determined mainly by highway functions and facility utilization rate. A range of specific criteria are used to generate HHP options. Extensive evaluation on network traffic, inventory, current services, and pros and cons for each option were conducted. The chosen HHP has modified existing functional classification system by incorporating traffic thresholds, considering single access and auxiliary lanes, and current preservation practices etc. The HHP is used in the development of level of preservation services for provincial highways. For the covering abstract of this conference see record control number 201111RT334E.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".