The analysis of traffic safety on the intersections of roadways and tram tracks
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
Ensuring high standard of service of public transport is among the most important goals of sustainable mobility. One of the most promising subsystems of public transport in this respect is the tram transport. Trams are eco-friendly and able to transport large numbers of passengers. However, in order to shape an efficient tram system, it is important to minimize the possibility of occurrence of incidents involving trams and road vehicles at intersections of roadways and tram tracks. The paper presents a proposition of a method of analysis of incidents in such locations. For ensuring a comprehensive approach to safety problem, the analysis encompasses two aspects: temporal and spatial. The proposed method has been presented on the example of tram network of the Metropolis GZM (Metropolitan Association of Upper Silesia and Dąbrowa Basin) area. The analysis has enabled identification of causes of incidents for the two most hazardous intersections of roadways and tram tracks. For each of these locations, proposed solutions to improve the level of safety have been determined.
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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 | 0.001 | 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) | 0.000 | 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 it