Research about the Influence of Opening Residential Quarter on the Surrounding Road Traffic Condition
Bibliographic record
Abstract
为研究开放小区后对周边道路通行的影响，本文以路段、交叉口通行能力为指标度量道路疏导车辆的能力，以道路饱和度为指标直观地反映道路的拥堵程度，并创新性地以路段和交叉口的面积为权重，建立了城市道路交通饱和度函数，以此来评价区域道路整体通行情况。通过三类小区的实证分析，小区开放后对区域整体道路通行情况起到改善所用，但会造成与小区相接路段的通行能力下降，并且对不同类型小区改善程度不同。最后，针对小区开放提出了合理化的建议。 In order to research the influence of opening residential quarter on the surrounding traffic; firstly, we choose the traffic capacities of the road sections and intersections as indexes to evaluate the dispersion capabilities of road, and choose the saturation of road sections and intersections as indexes to reflect the congestion degree of road. Secondly, assigning the area percentage of road section and intersection to the saturation’s weights, we innovatively establish the urban road traffic saturation function to evaluate the whole surrounding road traffic condition. Thirdly, taking three residential quarters as example, we find opening improves the whole performance of traffic, and for different residential quarter, the degrees of improvement are different. However, opening also results in the degradation of traffic capacity for the connected road sections of the residential quarter. Finally, some suggestions about opening residential quarter are proposed.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".