Investigating the impact of access-timing-sizing regulations on urban logistics
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
Freight regulations (e.g., vehicle timing, sizing and access restrictions) play a vital role in controlling congestion and developing effective urban logistics systems. Their importance is becoming even more relevant in modern times due to enormous growth in the number of freight vehicle movements in urban areas. In this paper, we target the problem of assessing the impact of access-timing-sizing regulations on goods movement in urban areas. A three-step approach is proposed. The first step involves conducting urban network traffic simulation to generate scenario data for the freight restriction policies. VISSIM, a microscopic traffic simulation software is used to perform this step. In the second step, we apply design of experiments (DOE) to analyse the simulated traffic data for testing the effectiveness of the access-timing-sizing policies. In the third step, an optimisation approach using desirability function is performed to determine the exact level of regulatory policies for the city. An application of the proposed approach for City of Montreal is provided. The strength of the proposed approach is its strong practical applicability. It is also one of the few quantitative approaches available in current literature for assessing the impact of freight regulatory policies in urban areas.
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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 | 0.000 |
| 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