Optimization of Signal Intersection Delay Analysis—Taking Zhongshan East Road and Jianshe Street in Shijiazhuang City as an Example
Why this work is in the frame
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Bibliographic record
Abstract
Intersection is an important part of urban road traffic system, and its existence is of great significance. The design and management of intersections directly affect the traffic capacity and operation efficiency of the entire urban road. Improving the traffic capacity of intersections and reducing vehicle delays are beneficial to the traffic capacity of the entire urban road. This paper takes the intersection of Zhongshan East Road and Jianshe South Street in Shijiazhuang City as the research object, and analyzes its traffic capacity and delay in view of the problems at the intersection. The traffic flow model is used to analyze the traffic capacity of the intersection, and the design capacity of each phase of the intersection is obtained. According to the traffic delay analysis, the congestion of the intersection is calculated, and the congestion problem of the intersection is found. Finally, the Webster method is used for signal timing and other methods to optimize the intersection, so as to improve the traffic capacity of the intersection of Zhongshan East Road and Jianshe South Street.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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