Metrology & Hallmark

https://gum.gov.pl/wye/content/volume-29/6015,Experimental-assessment-of-the-accuracy-of-High-Speed-Weigh-In-Motion-systems.html
13.04.2026, 12:43

Experimental assessment of the accuracy of High Speed Weigh-In-Motion systems

Metrology & Hallmark

Authors Ryszard Sroka, Janusz Gajda, Piotr Burnos, Mateusz Danioł (AGH University of Krakow); Anna Kania-Markocka, Wiktor Ślusarski, Robert Ziółkowski, Piotr Strzałka (Central Office of Measures)

Abstract

This paper presents the results of research on the accuracy of two HS-WIM systems located in Wielka Wieś near Tarnów, Poland. Each of the systems is fitted with eight load sensors laid out in four lines, manufactured using different technologies. Quartz and bending plate sensors were used. The study of the accuracy of these systems was conducted using the pre-weighed vehicles method, after two years of operation of the systems, without correction of calibration factors during this period. The results obtained indicate that in both systems there is an systematic error with a value of approximately 2.9 %. These results have made it possible to assess the current error of the HS-WIM systems and to assign to them accuracy classes according to COST 323 guidelines. The calibration which was performed on both systems allowed for the elimination of among others of systematic error and showed the possibilities for reducing random errors in the analysed systems. Studies such as this one may be useful for assessing the periods between successive calibrations of HS-WIM systems in order to maintain accuracy in the assumed class in accordance with COST 323 (e.g. A(5), B+(7), B (10) etc.).

Bibliography

[1] Sujon, M., Dai, F., Application of weigh-in-motion technologies for pavement and bridge response monitoring, State-of-the-art review. Automation in Construction 130 (2021), 103844.
[2] Jacob, B., O’Brien, E., Jehaes S., European Specifications on WIM, Weigh-in-Motion of Road Vehicles. Report of the COST323 Action; Publisher: Laboratoire Central Des Ponts et Chaussess (LCPC), Paris, France, 2002.
[3] Yang, H., Yang, Y., Hou, Y., Liu, Y., Liu, P., Wang, L., Ma, Y., Investigation of the Temperature Compensation of Piezoelectric Weigh-In-Motion Sensors Using a Machine Learning Approach. Sensors, 2022, 22(6), 2396, DOI: https://doi.org/10.3390/s22062396.
[4] Vaziri, S., H., Haas, C., T., Rothenburg, L., Haas, R., C., Jiang, X., Investigation of the effects of air temperature and speed on performance of piezoelectric weigh-in-motion systems. Can. J. Civ. Eng. 2013; 40, pp.935–944. DOI: https://doi.org/10.1139/ cjce-2012-0227 935–944.
[5] Masud, M., M., Haider, S., W., Selezneva, O., Wolf D., J., Use of axle load spectra (ALS) for estimating calibration drift in weigh-in-motion (WIM) systems. Can. J. Civ. Eng., 2023, https://doi.org/10.1139/ cjce-2022-0107.
[6] Antofie, A., Boreux, J., Corbaye, D., Geroudet, B., Liautaud, F., Bancel, A., Approach of the Walloon legal metrology (Belgium) for Weigh-In-Motion (WIM) free-flow direct enforcement. Proceedings of the 8th International Conference on Weigh-in-Motion (ICWIM8), Prague, Czech Republic, 2019, pp. 147.
[7] Ronay-Tobel, B., Mikulas, R., Katkics, A., Toldi, M., Weight enforcement network of Hungary. Proceedings of the 8th International Conference on Weigh-in-Motion (ICWIM8), Prague, Czech Republic, 2019, pp. 136-146.
[8] Jacob, B., van Loo, H., Weigh-in-motion for enforcement in Europe. Proceedings of the 5th International Conference on Weigh-In-Motion (ICWIM 5), Eds. Jacob, B. et al., Paris, France, 2008, pp. 25-38.
[9] Jacob, B., Cottineau, L., M., Weigh-in-motion for direct enforcement of overloaded commercial vehicles. Transp. Resea. Proc. 2016, 14, pp. 1413–1422. DOI: https://doi.org/10.1016/j.trpro.2016.05.214.]
[10] Brzozowski, K., Maczyński, A., Ryguła, A., Konior, T., A weigh-in-motion system with automatic data reliability estimation. Measurement, Vol. 221, 15, November 2023, 113494.
[11] Ryguła, A., Maczyński, A., Brzozowski, K., Grygierek, M., Konior, T., Influence of Trajectory and Dynamics of Vehicle Motion on Signal Patterns in the WIM System. Sensors, 2021, 21, p. 7895, 10.3390/ s21237895.
[12] Baker, J., Auto-Calibration of WIM Using Traffic Stream Characteristics. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/ etd/3163,2019.
[13] Burnos, P., Auto-calibration of Weigh in Motion Systems - analysis and correction of temperature influence on the weighting results. Doctor thesis, AGH-University of Science and Technology, Krakow, 2009.
[14] Gajda, J., Sroka, R., Burnos, P., Daniol, M., Weigh-in-Motion Site for Type Approval of Vehicle Mass Enforcement Systems in Poland. Sensors 2023, 23, 9290. https://doi.org/10.3390/s23229290.
[15] Recommendation of OIML No R134-1, Automatic instruments for weighing road vehicles in motion and measuring axle loads, Part 1: Metrological and technical requirements – Tests, Edition 2006 (E).
[16] Gajda, J., Sroka, R., Zeglen, T., Accuracy Analysis of WIM Systems Calibrated Using Pre-Weighed Vehicles Method, Metrol. Meas. Syst., Vol. 14, no. 4, 2007, pp. 517-527.
[17] Burnos, P., Gajda, J., Piwowar, P., Sroka, R., Stencel, M., Zeglen, T., Accurate Weighing of Moving Vehicles,” Metrol. Meas. Syst., 2007, Vol. 14, no. 4, pp. 507–516.
[18] Gajda, J., Burnos, P., Sroka, R., Accuracy Assessment of Weigh-in-Motion Systems for Vehicle’s Direct Enforcement, IEEE Intelligent Transportation Systems
Magazine, 88, 2018.
[19] Burnos, P., Gajda, J., Sroka, R., Accuracy criteria for evaluation of Weigh-in-Motion systems, Metrol. Meas. Syst., 2018, Vol. 25, no. 4, pp. 743–754.

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