Evaluation of a Skid Resistant Material at High Incident Intersection Locations
Bibliographic record
Abstract
High incident intersections have become an area of great focus for motorist's and pedestrian safety improvements within many municipalities. One of the problematic areas in high incident intersections is the subject of stopping effectively. In order to try and enhance stopping characteristics several test locations have been constructed using a methyl methacrylate/bauxite skid resistant material developed and applied by Lafrentz Road Marking at high incident intersections in Calgary and St. Albert, Alberta. These test sections were constructed in order to evaluate the product's effectiveness at improving pavement friction and reducing friction related incidents at the selected intersections. The paper provides an overview of the four locations the skid resistant material was placed and their respective performance and wear characteristics over one winter in Calgary and after two years in the case of The City of St. Albert. The paper discusses the correlation between the various types of friction testing that was undertaken. The paper further explores how the material has changed the frictional values of the treated areas and what this means to the motorist. Finally, the paper provides a review of the placement operation as well as the performance and incident statistics for each of the locations where the skid resistant material was placed. (A) For the covering abstract of this conference see ITRD record number 201211RT334E.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".