Methodical approach in determining the reliability and efficiency of urban cargo transportation taking into account the congestion of street networks
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
Abstract A methodical approach has been developed in order to assess the reliability and efficiency of urban cargo traffic, taking into account the congestion of street networks. Modelling the transportation process is carried out online and allows one to determine the parameters of the transportation process, which take into account the presence of traffic jams on the city streets. A criterion for assessing the reliability of the logistics system of cargo urban transportation has been proposed – the reliability coefficient and the integral criterion of efficiency. The criteria take into account the travel time of the vehicle along the route and the time of delays in accepting the applications for services at the logistics centre (LC), as well as the time of delays at the transport company. It has been shown that in the absence of delays in the logistic chains, the reliability coefficient is equal to one, and the efficiency criterion tends to a minimum. The role of the LC capacity in the unit costs of transport services has been determined. Insufficient capacity of the LC increases the processing time of one application, which leads to an increase in the total unit costs.
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 | 0.001 | 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