Exploration of the impact of junction characteristics on pedestrian red-light violation
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
The design of the geometry and traffic controls at signalised junctions is often focused on the level of service offered to motor vehicles and rarely considers the level of service offered to pedestrians. This results in pedestrians adopting illegal and unsafe behaviours – for example, red-light violation. This study aimed to identify the elements of signalised junction design that are critical in pedestrian safety by analysing how they affect pedestrian behaviour. Both traffic engineering design and associated traffic conditions were investigated. Over 6500 observations were made at ten signalised junctions in Montreal, Canada. The ten junctions were selected to cover a variety of environments, road users and junction designs. The results show that the presence of a countdown display has the most significant and positive impact on pedestrian behaviour. The results also suggest that pedestrians cross on the red light when they feel confident about their ability to judge whether they can use the available traffic gaps to cross the street safely. This study concludes that an adequate junction design is likely to limit risky pedestrian behaviours. Therefore, designers need to consider the factors affecting the behaviour of pedestrians to design junctions that are convenient and safe for them.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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