PAPER TRB03-3410 Synthesis on the Safety of Right Turn on Red
Bibliographic record
Abstract
The Government of Quebec is currently considering the introduction of right turn on red (RTOR) at signalized intersections in Quebec, with the possible exception of the City of Montreal. The Province of Quebec and New York City are the only jurisdictions in North America where the RTOR is not permitted. Following more than 25 years of intense political debates, the Government agreed in 2000 to commission a policy study, aimed at either adopting or rejecting the RTOR once and for all. In order to fully understand all the issues surrounding the introduction of such a measure, the Ministry of Transportation of Quebec (MTQ) mandated the author of this paper to perform a study on the safety, traffic operational improvements, and other characteristics resulting from RTOR based on information gathered from various agencies in the United States and Canada. The study aimed at collecting crash statistics; gathering and reviewing recent research documents and papers; and surveying the opinions of transportation experts and researchers on this topic. The outcome of this study shows that the RTOR is not a dangerous maneuver at signalized intersections for either vehicles or pedestrians in most
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.095 | 0.008 |
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".