Decision Support for Capacitated Arc Routing for Providing Municipal Waste and Recycling Services
Bibliographic record
Abstract
This paper describes the design, development and initial evaluation of a decision support system (DSS) for capacitated arc routing. The research was motivated from a collaboration project with The City of Calgary business unit for Waste &Recycling Services (WRS). Their services cover residential waste collection for 306,000 residential homes. Intelligent decision support was needed to address the increasing business complexity and the need for higher efficiency and transparency of decision-making processes. The proposed routing is incorporating seasonal trends of waste creation. The seasonal changes are between 10.000 (low) to 25000 (peak) tons per month for the whole city. Different arc routings apply for different amounts of waste. A prototype DSS was developed with several components including one for prediction of waste amounts and one for arc routing of trucks. The paper describes the methodology, the existing DSS-WRS prototype implementation and preliminary results from its case study implementation.
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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".