Improving Crosswalk Safety: Rectangular Rapid-Flashing Beacon (RRFB) Trial in Calgary
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2011, 323 injury and fatality collisions involving pedestrians occurred within the city of Calgary. Even though pedestrian vehicle interaction will always pose a level of risk, pedestrian safety is improved with the use of active crossing devices which include signs, pavement markings, and push-button activated overhead flashers. The rectangular rapid-flashing beacon (RRFB) is an innovative alternative to the traditional pedestrian-activated overhead flasher assembly. Installed below the sidemounted pedestrian crosswalk signs, RRFBs use dual rectangular LED lights to display intermittent rapid flashes. The RRFBs achieve significant cost savings as they are solar powered and use a wireless connection for communication between the terminals. RRFBs have been evaluated in the United States with positive results; however, no installations or evaluations have taken place in Canada. This paper describes the RRFB Pilot Project undertaken by the City of Calgary to assess motorist yielding behaviour and the performance of the solar power systems. The before-and-after studies using staged crossings revealed that the RRFBs increased yielding compliance at all six crosswalks reaching nearly 100 percent compliance in majority of cases. Motorist yielding increased between 5 and 26 percent, depending on site, with an average of 15 percent. The findings were statistically significant at the 95 percent confidence interval at five of six locations. The performance of the solar power system during winter conditions was found to be satisfactory. (A) For the covering abstract of this conference see ITRD record 201309RT334E.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.002 | 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 it