Train Service Planning for Passenger Dedicated Railway Line Based on Analyzing Importance of Nodes
Bibliographic record
Abstract
Starting from the analysis of the economic and social attributes as well as railway resource allocation of the passenger dedicated line(PDL)covered nodes,this thesis introduces the concept of the importance of nodes.On the basis of analytical hierarchy process,the thesis studies the quantitative index of the nodes transport distribution capacity in the PDL network and calculates the evaluation indexes on the importance of those city nodes.Thus,in the light of the assessment results,the thesis sets up the three-level hierarchy in the importance of city nodes covered by the PDL.Based on that,the thesis proposes that the first-level nodes serving as the departure and arrival stations,the second-level nodes adopting the fluid and alternate stop stations,and the tertiary-level nodes takeing the form of all-stop for low-class trains so as to build a multi-objective programming model for the PDL train line planning.With the lingo 8.0 program,the train line planning optimizes the calculation of stop stations.This method has been applied in the train line planning of Wuhan-Guangzhou high-speed railway line and proved to be very effective in reducing the complexity of the train service planning problem.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".