Abstract

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.

Highlights

  • Weigh-in-Motion (WIM) systems have been known for over 50 years and have been widely used for over twenty years in the monitoring of the weight and axle load of motor vehicles [1,2]

  • We have shown on the basis of simulation and experimental tests that the correct selection of the calibration algorithm allows a reduction of the vehicle weighing error at least twice

  • This paper is organized as follows: in Section 2 we describe the known methods of calibrating WIM systems, Section 3 contains an overview of the algorithms for estimating the coefficients of the static characteristics of WIM systems, in Section 4 we discuss the simulation tests and present their results, Section 5 contains a discussion of the results of experimental research, and conclusions regarding the design of the calibration process of the WIM system are presented in Electronics 2021, 10, 2537

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Summary

Introduction

Weigh-in-Motion (WIM) systems have been known for over 50 years and have been widely used for over twenty years in the monitoring of the weight and axle load of motor vehicles [1,2]. We have shown on the basis of simulation and experimental tests that the correct selection of the calibration algorithm allows a reduction of the vehicle weighing error at least twice This problem was initially discussed in our earlier work [18].

Calibration Methods for WIM Systems
Vehicles Method
Minimizing the Bias of Weighing Results
Simulation Experiments
Experimental
Experimental Research
Findings
Conclusions
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