Evidence map›Paper›PMID 41682415›Full record

ArticleSensors (Basel, Switzerland)2026

Real-World Application of Non-Destructive Pavement Health Monitoring Sensors.

Alessandro Di Graziano, Salvatore Cafiso, Filippo Praticò, Enea Sogno, Andrea Fontana

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alessandro Di GrazianoDepartment of Civil Engineering and Architecture, University of Catania, 95125 Catania, Italy.
Salvatore CafisoDepartment of Civil Engineering and Architecture, University of Catania, 95125 Catania, Italy.
Filippo PraticòDIIES Department, University Mediterranea of Reggio Calabria, 89124 Reggio Calabria, Italy.ORCID 0000-0003-3576-7976
Enea SognoSINA S.p.A., 20135 Milano, Italy.
Andrea FontanaITER S.r.l., a Spin-off of the University of Catania, 95125 Catania, Italy.

Funding

SINA SpA xx
6 · The paper itself

Abstract

Monitoring road pavement conditions is a fundamental activity in road network management. A well-structured pavement management system (PMS) is based on the continuous collection of data on pavement conditions throughout the road's life cycle. In recent years, the integration of sensor technologies into road pavement for condition monitoring has attracted increasing attention. The collection of such data allows the construction of models that describe pavement deterioration as a function of traffic loads. This study presents an innovative solution (NDSPHM) for monitoring the structural condition of road pavements, which involves using acoustic sensors (microphones) to acquire the signature generated by passing vehicles, which propagates through the pavement structure. In more detail, this work focuses on the processing methodology applied to data collected on a highway under real traffic conditions.

Indexed as

AcousticsConstruction MaterialsEnvironmental Monitoringacoustic signaturepavement monitoringsensorsstructural health monitoring

Identifiers

PMID41682415
PMCPMC12899890

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.