Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations

Weigh-in-motion (WIM) systems aim to estimate a vehicle’s weight by measuring static wheel loads as it passes at highway speed over roadway-embedded sensors. Vehicle oscillations and the resulting dynamic load components are critical factors affecting measurements and limiting accuracy. As of now, a...

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Main Authors: Moritz P. M. Hagmanns, Serge Lamberty, Adrian Fazekas, Markus Oeser
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/24/8151
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author Moritz P. M. Hagmanns
Serge Lamberty
Adrian Fazekas
Markus Oeser
author_facet Moritz P. M. Hagmanns
Serge Lamberty
Adrian Fazekas
Markus Oeser
author_sort Moritz P. M. Hagmanns
collection DOAJ
description Weigh-in-motion (WIM) systems aim to estimate a vehicle’s weight by measuring static wheel loads as it passes at highway speed over roadway-embedded sensors. Vehicle oscillations and the resulting dynamic load components are critical factors affecting measurements and limiting accuracy. As of now, a satisfactory solution has yet to be found. This paper discusses a novel correction approach that fuses WIM sensor data with wheel oscillation captured by cameras. In an experiment, a hard plastic speed bump was placed ahead of a piezoelectric WIM sensor to induce oscillation in trucks crossing the WIM sensor. Three high-speed cameras captured the motion of the wheels. The results show that the proposed method improved the accuracy of the measured gross weight for significant wheel oscillations, while no improvement is observed for smaller oscillation amplitudes.
format Article
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publisher MDPI AG
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series Sensors
spelling doaj-art-8e6ef443228348fc8a212b4924b46eac2025-08-20T02:50:43ZengMDPI AGSensors1424-82202024-12-012424815110.3390/s24248151Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel OscillationsMoritz P. M. Hagmanns0Serge Lamberty1Adrian Fazekas2Markus Oeser3Chair and Institute of Highway Engineering, RWTH Aachen University, 52074 Aachen, GermanyChair and Institute of Highway Engineering, RWTH Aachen University, 52074 Aachen, GermanyFederal Highway Research Institute, 51427 Bergisch Gladbach, GermanyFederal Highway Research Institute, 51427 Bergisch Gladbach, GermanyWeigh-in-motion (WIM) systems aim to estimate a vehicle’s weight by measuring static wheel loads as it passes at highway speed over roadway-embedded sensors. Vehicle oscillations and the resulting dynamic load components are critical factors affecting measurements and limiting accuracy. As of now, a satisfactory solution has yet to be found. This paper discusses a novel correction approach that fuses WIM sensor data with wheel oscillation captured by cameras. In an experiment, a hard plastic speed bump was placed ahead of a piezoelectric WIM sensor to induce oscillation in trucks crossing the WIM sensor. Three high-speed cameras captured the motion of the wheels. The results show that the proposed method improved the accuracy of the measured gross weight for significant wheel oscillations, while no improvement is observed for smaller oscillation amplitudes.https://www.mdpi.com/1424-8220/24/24/8151weigh-in-motiondynamic loadwheel oscillationmeasurement accuracydata fusion
spellingShingle Moritz P. M. Hagmanns
Serge Lamberty
Adrian Fazekas
Markus Oeser
Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations
Sensors
weigh-in-motion
dynamic load
wheel oscillation
measurement accuracy
data fusion
title Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations
title_full Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations
title_fullStr Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations
title_full_unstemmed Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations
title_short Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations
title_sort enhancing weigh in motion systems accuracy by considering camera captured wheel oscillations
topic weigh-in-motion
dynamic load
wheel oscillation
measurement accuracy
data fusion
url https://www.mdpi.com/1424-8220/24/24/8151
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AT adrianfazekas enhancingweighinmotionsystemsaccuracybyconsideringcameracapturedwheeloscillations
AT markusoeser enhancingweighinmotionsystemsaccuracybyconsideringcameracapturedwheeloscillations