Evidence map›Paper›PMID 41600438›Full record

ArticleSensors (Basel, Switzerland)2026

Development and Experimental Validation of a Physics-Based Digital Twin for Railway Freight Wagon Monitoring.

Alessio Cascino, Leandro Nencioni, Laurens Lanzillo, Francesco Mazzeo, Salvatore Strano, Mario Terzo, Simone Delle Monache, Enrico Meli

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

8 authors.

Alessio CascinoDepartment of Industrial Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0003-0071-003X
Leandro NencioniDepartment of Industrial Engineering, University of Florence, 50139 Florence, Italy.
Laurens LanzilloDepartment of Mechanical Engineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0009-0001-7719-4208
Francesco MazzeoDepartment of Mechanical Engineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0001-6511-9879
Salvatore StranoDepartment of Industrial Engineering, University of Naples, 80138 Naples, Italy.ORCID 0000-0003-2697-2273
Mario TerzoDepartment of Industrial Engineering, University of Naples, 80138 Naples, Italy.
Simone Delle MonacheMercitalia Intermodal SpA, 20151 Milano, Italy.
Enrico MeliDepartment of Industrial Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-0513-9242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of digital twins for railway freight vehicles represents a key step toward more efficient, data-driven maintenance and safety assessment. This study focuses on the creation of a digital twin of the T3000 articulated freight wagon, one of the most widespread intermodal transport solutions in Europe. Despite its relevance, the dynamic behavior of this vehicle type has been scarcely investigated so far in scientific literature. A dedicated onboard measurement layout was defined to enable comprehensive monitoring of vehicle dynamics and the interactions between adjacent wagons within the train. The experimental setup integrates inertial sensors and a 3D vision system, allowing for detailed analysis of both rigid-body and vibrational responses under real operating conditions. A high-fidelity multibody model of the articulated wagon was developed and tuned using the acquired data, achieving optimal agreement with experimental measurements in both straight and curved track segments. The resulting model constitutes a reliable and scalable digital twin of the T3000 wagon, suitable for predictive simulations and virtual testing. Future developments will focus on a deeper investigation of the buffer interaction through an additional experimental campaign, further extending the digital twin's capability to represent the full dynamic behavior of articulated freight trains.

Indexed as

articulated freight wagondigital twinexperimental validationhigh-fidelity modelingmultibody simulationrailway dynamicsrailway vehicle

Identifiers

PMID41600438
PMCPMC12846277

What OpenQuestion holds

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Registered trials

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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.