Variable Speed Limits Framework on a Pilot Study on Alberta Highways
Bibliographic record
Abstract
International research has shown that the Variable Speed Limits (VSL) system is a successful traffic engineering application used to manage traffic conditions during congestion, incidents, road construction, and inclement weather. VSL has been implemented in a number of jurisdictions throughout the world to improve safety and traffic efficiency on the road network. However, there has been limited application of VSL in Canada and the US, primarily owing to the legislative enforcement restrictions. Alberta Transportation (AT) has recognized the need to gain experience in the use of VSL and determine its effectiveness in the Alberta highway environment. This paper is aimed at developing a comprehensive framework for a variable speed limit pilot project and consists of a literature review, development of a project framework, a strategy for evaluating project benefits, and future maintenance and operation requirements. The comprehensive literature review identifies the best practices, guidelines and technical research work on the application and evaluation of VSL in Canada and internationally. Based on the literature review, a site selection criterion is developed which considers collision history, minimum volume threshold, minimum speed, congestion, and weather conditions. A criterion is also developed for reducing the posted speed limited and an evaluation strategy is developed to predict the benefits associated with the speed reduction. A set of recommendations for the maintenance and operations of the VSL system under the pilot project initiative are developed as well as motorist education strategy to increase speed compliance with the VSL zone. (A) For the covering abstract of this conference see ITRD record number 201211RT334E.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".