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Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density — arXiv:2610.06989

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.06989
License (as archived): CC0-1.0
Archived: 2026-10-07T11:40:44.015Z
SHA-256 of the archived text: 868e4a7c33d857260375694fb34fe50be7c050bbfc61d68ebb30ebeef3d1a975
Stable URL of this page: https://metraipolis.com/documento/dc_75bcedfd222e

How to cite

Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density — arXiv:2610.06989 — arXiv (en), https://arxiv.org/abs/2610.06989 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_75bcedfd222e (Metraipolis archive dc_75bcedfd222e, sha256 868e4a7c33d857260375694fb34fe50be7c050bbfc61d68ebb30ebeef3d1a975)

BibTeX

@misc{dc75bcedfd222e,
  title = {Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density — arXiv:2610.06989},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.06989},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_75bcedfd222e; sha256 868e4a7c33d857260375694fb34fe50be7c050bbfc61d68ebb30ebeef3d1a975},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.06989. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Pavement agencies must translate a spatially distributed distress inventory into a bounded, actionable repair-lot plan: accident-critical defects (potholes) must always be addressed, lower-risk defects (cracks) should be included only when their benefit justifies the repair cost, and historical patch locations signal re-degradation risk without themselves triggering repair. We formalize this as a Repair Lot Skyline problem: a Weighted Constraint Satisfaction Problem (WCSP) defined over chainage (distance along the road) rather than over time, so that it requires only a single-epoch distress survey and makes no claim about future deterioration. The WCSP identifies 143 candidate hazard clusters (61 hard, 82 soft), of which 106 are merged into a final repair plan totaling 1,997.4 m---83.7% of the 2,385.9 m that would be required if every soft candidate were included regardless of cost. This plan covers 100% of observed potholes (138/138) and 91.6% of observed cracks (404/441), capturing 93.6% (542/579) of the total hazard benefit available in the full candidate set. The skyline frontier shows pronounced diminishing returns beyond this point: the remaining 37 excluded soft candidates would add only 6.8% additional benefit for a 19.4% increase in repair length. We further formalize the minimum-lot-length $L_{\min}$ and historical-context radius $\kappa$ as a joint, four-objective hyperparameter search over this WCSP; on the same case study, the recommended configuration ($L_{\min} = 14.7$ m, $\kappa = 10$ m) reduces repair-crew mobilizations by 7.1% relative to an untuned default, at the cost of a 12.9% larger budget and a 1.1-percentage-point lower crack coverage.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.LG, nuovi lavori del giorno).
Categorie arXiv: Machine Learning (cs.LG).
Pagina del lavoro: https://arxiv.org/abs/2610.06989 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T11:19:24.715Z dalla pagina https://arxiv.org/list/cs.LG/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).