Evidence map›Paper›PMID 42451225›Full record

ArticleSensors (Basel, Switzerland)2026

Spatial Calibration of Weigh-In-Motion Systems-Evaluation of Metrological Properties.

Janusz Gajda, Ryszard Sroka, Piotr Burnos, Mateusz Daniol

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

4 authors.

Janusz GajdaDepartment of Measurement and Electronics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Kraków, Poland.ORCID 0000-0003-4818-7663
Ryszard SrokaDepartment of Measurement and Electronics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Kraków, Poland.ORCID 0000-0003-3677-713X
Piotr BurnosDepartment of Measurement and Electronics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Kraków, Poland.ORCID 0000-0001-6591-9040
Mateusz DaniolDepartment of Measurement and Electronics, AGH University of Krakow, Al. A. Mickiewicza 30, 30-059 Kraków, Poland.ORCID 0000-0003-2363-7912

Funding

Ministry of Science and Higher Education PM-II/SP/0005/2024/02
6 · The paper itself

Abstract

This article presents a method for calibration of dynamic vehicle weighing systems (WIM-Weigh-In-Motion) involving the calibration of all WIM stations operating within a given road network segment as a single process. A key assumption of the method is the presence of at least one scale with significantly higher accuracy than the calibrated systems in this part of road network. This reference scale function may be played by a static scale, slow-pass scale (LS-WIM-Low-Speed WIM) for measurement of vehicle axle load or by a selected WIM system with heightened accuracy. Both the reference scale and all systems undergoing calibration must be equipped with a system for the automatic recognition of vehicle registration number plates. The reference scale makes it possible to determine axle load values considered as benchmark values. Then, for each vehicle weighed on the reference scale and subsequently on any WIM system operating within the analysed area, the relative difference between the reference result and the WIM system measurement is calculated with respect to the reference value. This difference forms the basis for the operation of the algorithm estimating the coefficients of the static characteristic of the calibrated WIM system (so-called calibration coefficients), which are then used to determine corrected weighing results. The estimation of the coefficients is updated after each identified vehicle that has previously been weighed on the reference scale is considered. The article presents both the results of simulations and experimental studies concerning the proposed spatial method of calibration. The results obtained allow for an assessment of the effectiveness of the proposed solution. As can be seen from the analyses conducted, this method leads to a significant reduction in systematic error of vehicle weight measurement. Unfortunately, it does not eliminate random errors. The spatial calibration approach described in this paper has certain limitations. The main ones include the impact of ANPR system errors on calibration effectiveness, cases where a vehicle is unloaded or loaded between WIM stations, and the propagation of systematic errors from the reference systems to the other WIM systems. A significant advantage of the proposed spatial calibration method is that it can operate effectively using weighing data from a single reference WIM system and does not require heavy traffic volumes.

Indexed as

dynamic weighing of road vehiclesspatial calibrationsystem calibrationweigh-in-motion (WIM) systemsWIM system accuracy

Identifiers

PMID42451225
PMCPMC13364011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.