[
    {
        "id": "osp-17254",
        "type": "article-journal",
        "title": "Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density",
        "author": [
            {
                "family": "Yasuno",
                "given": "Takato"
            },
            {
                "family": "Kobayashi",
                "given": "Keita"
            },
            {
                "family": "Sakaguchi",
                "given": "Ryuta"
            },
            {
                "family": "Okamoto",
                "given": "Takuya"
            }
        ],
        "URL": "https://omanscience.com/en/articles/repair-lot-skyline-a-weighted-constraint-satisfaction-approach-to-pavement-repair-optimization-from-geospatial-hazard-density",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2026
                ]
            ]
        },
        "abstract": "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 $κ$ as a joint, four-objective hyperparameter search over this WCSP; on the same case study, the recommended configuration ($L_{\\min} = 14.7$ m, $κ= 10$ 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."
    }
]