Impacts of night-time work-zone speed restrictions on freeway speed characteristics a case study on Edmonton, Canada
Bibliographic record
Abstract
Freeway work zone is considered as a potentially hazardous zone, which asks for special speed restriction to provide a relatively safe environment for road users and workers. However, the efficacy of speed limit reduction to bring about significant change in collective speed behavior on construction sites is yet to be determined. In this regard, this study aims at evaluating the change in freeway speed characteristics triggered by night-time work-zone (NWZ) speed restrictions from field observations. This study specifically incorporated average speed data from different freeway segments to determine speed characteristics and speed limit compliance in NWZs as well as NWZ adjacent locations at distinct speed limit conditions. An urban freeway in Edmonton, Alberta, Canada equipped with dual loop detectors at different sections of the road was utilized for this study purpose. In order to perform spatial and temporal speed analysis, the studied roadways stretch was divided into discrete segments containing a group of loop detector station in each segment. The findings from the analysis of obtaining speed characteristics around NWZs lead to state that the work zone speed restrictions had notable implications on construction zone as well as downstream speed behavior. Speed limit compliance analysis indicated a significant decrease in compliance on NWZs in compared to construction free period. Study findings were indicative to the requirement of detail speed characteristic study to determine the suitable speed limit for a particular construction zone.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".