Effect of Coloring Pigment on Asphalt Mixture Performance: Case for Use in Ontario
Bibliographic record
Abstract
Located north of Toronto, Ontario, York Region is a thriving community which is proactive in promoting efficient transportation. To meet its rapidly increasing need for public transit, York Region has used a combination of coloured aggregate and red pigment for its dedicated Bus Rapid Transit (BRT) dedicated lanes. The intent is that the use of coloured asphalt is intended to improve level of safety through enhanced visibility. The dedicated lanes are located along the three most heavily travelled roads in the region; Yonge Street, Highway 7, and Davis Drive. The research presented in this paper relates to an on-going partnership between the Centre for Pavement and Transportation Technology (CPATT) at the University of Waterloo, York Region, and Metrolinx. This paper presents some of the background related to how coloured asphalt can be used in various transportation applications to achieve various technical and social benefits. It also highlights some of the material characterization test results for the Superpave 12.5 mm coloured asphalt surface mixtures including the dynamic modulus testing, Thermal Stress Restrained Specimen Test, and flexural fatigue testing. Plant-produced Coloured Hot Mix Asphalt (CHMA) as well as laboratory-fabricated samples are being evaluated. Overall observations suggest that pigmentation had affected the level of resistance to fatigue cracking, but large variation was observed in fatigue results that requires further investigation of testing procedure. No affect was observed in overall stiffness of the mixture at higher and lower temperatures.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".