Optimised Autocalibration Algorithm of Weigh-In-Motion Systems for Direct Mass Enforcement

Burnos, Piotr; Gajda, Janusz

doi:10.3390/s20113049

Cited by 15 publications

(7 citation statements)

References 14 publications

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“…The autocalibration method was first proposed by Stanczyk [ 18 ], when introducing the so-called autocalibration algorithm of WIM systems. It was developed and improved by Burnos, and the results of his work were published for the first time in 2009 [ 19 ] and then in 2012 [ 17 ] and 2020 [ 20 ].…”

Section: Methodsmentioning

confidence: 99%

High Accuracy Weigh-In-Motion Systems for Direct Enforcement

Burnos

Gajda

Sroka

et al. 2021

Sensors

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In many countries, work is being conducted to introduce Weigh-In-Motion (WIM) systems intended for continuous and automatic control of gross vehicle weight. Such systems are also called WIM systems for direct enforcement (e-WIM). The achievement of introducing e-WIM systems is conditional on ensuring constant, known, and high-accuracy dynamic weighing of vehicles. WIM systems weigh moving vehicles, and on this basis, they estimate static parameters, i.e., static axle load and gross vehicle weight. The design and principle of operation of WIM systems result in their high sensitivity to many disturbing factors, including climatic factors. As a result, weighing accuracy fluctuates during system operation, even in the short term. The article presents practical aspects related to the identification of factors disturbing measurement in WIM systems as well as methods of controlling, improving and stabilizing the accuracy of weighing results. Achieving constant high accuracy in weighing vehicles in WIM systems is a prerequisite for their use in the direct enforcement mode. The research results presented in this paper are a step towards this goal.

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Section: Methodsmentioning

confidence: 99%

High Accuracy Weigh-In-Motion Systems for Direct Enforcement

Burnos

Gajda

Sroka

et al. 2021

Sensors

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“…This method is well suited for the calibration of WIM systems in which the weighing result is significantly non-stationary due to the strong influence of external factors, e.g., environmental factors. It is assumed that in the stream of weighed vehicles one can distinguish those whose selected quantities (e.g., gross vehicle weight or axle load) can be considered as a reference quantity [22][23][24]. This is a disadvantage of this method.…”

Section: Calibration Methods For Wim Systemsmentioning

confidence: 99%

Designing the Calibration Process of Weigh-In-Motion Systems

Gajda¹,

Sroka²,

Burnos³

2021

Electronics

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Weigh-In-Motion (WIM) systems provide information on the state of road traffic and are used in activities undertaken as part of traffic supervision and management, enforcement of applicable regulations, and in the design of road infrastructure. The further development of such systems is aimed at increasing their measurement accuracy, operational reliability, and their resistance to disturbing environmental factors. Increasing the accuracy of measurement can be achieved both through actions taken in the hardware layer (technology of load sensors, the number of sensors and their arrangement, technology used in the construction of the pavement, selection of the system location), as well as by implementing better system calibration algorithms and algorithms for pre-processing measurement data. In this paper, we focus on the issue of WIM system calibration. We believe that through the correct selection of the calibration algorithm, it is possible to significantly increase the accuracy of vehicle weighing in WIM systems, from a practical point of view. The simulation and experimental studies we conducted confirmed this hypothesis.

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“…Here, R(x) is the reaction force, W n is the n-th axial load, and r(x) is the influence line at vehicle position x on the bridge. It is possible to predict the influence line for the reaction force by substituting the accurate axial load of the vehicle traveling on the bridge and the measured reaction force response into Equation (24).…”

Section: Lanementioning

confidence: 99%

“…To address these problems, various WIM systems were developed [20][21][22] along with methods using such WIM systems to analyze the vehicle load [23]. A WIM system that performs automatic correction was developed [24] to improve the accuracy of vehicle load measurement, while a study was also conducted to detect bridge damage using a WIM system [25].…”

Section: Introductionmentioning

confidence: 99%

Vehicle Load Estimation Using the Reaction Force of a Vertical Displacement Sensor Based on Fiber Bragg Grating

Kim

Yun

Park

et al. 2022

Sensors

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Accurately calculating the vehicle load acting on a bridge at any one time is crucial to determining the integrity and safety of the bridge. To ensure this integrity and safety, information on the types, characteristics, and load of vehicles that regularly cross the bridge is very important in terms of its structural adequacy and maintenance. In this study, the vehicle load that a bridge will be subjected to was estimated using the reaction force response at the support. To estimate this response to the reaction force, a vertical displacement sensor, developed based on Fiber Bragg Grating (FBG), was applied to the Eradi Quake System (EQS), a commercially available bridge bearing. This vertical displacement sensor can measure the vertical load and has the advantage of being easy to attach and detach. To verify the performance and accuracy of this sensor, this study conducted numerical analysis and vehicle loading tests. It found that the vehicle load can be estimated from the reaction force response, as measured by the vertical displacement sensor on the bridge.

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Optimised Autocalibration Algorithm of Weigh-In-Motion Systems for Direct Mass Enforcement

Cited by 15 publications

References 14 publications

High Accuracy Weigh-In-Motion Systems for Direct Enforcement

High Accuracy Weigh-In-Motion Systems for Direct Enforcement

Designing the Calibration Process of Weigh-In-Motion Systems

Vehicle Load Estimation Using the Reaction Force of a Vertical Displacement Sensor Based on Fiber Bragg Grating

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