Preview

Avtomobil'. Doroga. Infrastruktura.

Advanced search

Platform weighing system for moving vehicles

Abstract

Today, WIM systems are widely used all over the world. They are installed on public roads and are designed to monitor the weight and dimensions of passing vehicles. These systems have been developed and modified over time, but they still have many drawbacks and issues. The main problems with these systems are related to their high sensitivity to the drivers' control over the vehicle being weighed. When the driving parameters of the vehicle being analyzed change, these systems become unable to perform their intended function. In this work, a fundamentally new architecture of the WIM system was proposed, which is based on the method of platform weighing of vehicles in motion. The developed system is completely free of the shortcomings and problems of the WIM systems currently used.

About the Author

Igor A. Kolchin
IMASH RAN
Russian Federation

postgraduate



References

1. Transportation and logistics: reorientation of directions and changes in the structure. [Electronic resource] // Expert RA. – 2023. – URL: https://raexpert.ru/researches/traffic_2023/ (accessed: 04.08.2025). (In Russ.).

2. Rocheti E.O. Weigh-In-Motion Systems Review: Methods for Axle and Gross Vehicle Weight Estimation / E.O. Rocheti, R.M. Bacurau // IEEE Access. – 2024. – Vol. 12, №99.

3. Kulauzović B. Portable WIM as a Tool For Realistic Traffic Loading Factors on Macedonian National Road Network / B. Kulauzović, J. Jamnik // ICWIM8, 2019. – P. 32.

4. Heidari. Application of Deep Learning Technique in High Speed Weigh-in-Motion Systems for Direct Enforcement / Heidari // ICWIM8, 2019. – P. 126.

5. Masud M.M. Effect of static weight errors on Weigh-in-Motion (WIM) system accuracy / M.M. Masud, S.W. Haider // Measurement. – 2023. – Vol. 206. – P. 112301.

6. Qin T. Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System / T. Qin, M. Lin, M. Cao, et al. // Sensors. – 2018. – Vol. 18, №9. – P. 3044.

7. Tran N.H. Development and Influence of Statewide Axle Load Spectra on Flexible Pavement Performance / N.H. Tran, K.D. Hall // Transportation Research Record: Journal of the Transportation Research Board. – 2007. – Vol. 2037, №1. – P. 106-114.

8. Hazlett D. Use of Weigh-in-motion Data for Pavement, Bridge, Weight Enforcement, and Freight Logistics Applications / D. Hazlett, N. Jiang, L. Loftus-Otway. 2020.

9. Masud M.M. Impact of WIM Systematic Bias on Axle Load Spectra-A Case Study / M.M. Masud, S.W. Haider, O. Selezneva, et al. // Advances in Materials and Pavement Performance Prediction II: Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2020), 27-29 May, 2020, San Antonio, TX, USA, 2020, – P. 64.

10. Jacob B. Weigh-in-motion for Direct Enforcement of Overloaded Commercial Vehicles / B. Jacob, L.-M. Cottineau // Transportation Research Procedia. – 2016. – Vol. 14. – P. 1413-1422.

11. Faruk A.N.M. Traffic volume and load data measurement using a portable weigh in motion system: A case study / A.N.M. Faruk, W. Liu, S.I. Lee, et al. // International Journal of Pavement Research and Technology. – 2016. – Vol. 9, №3. – P. 202–213.

12. Prozzi J.A. Effect of Traffic Load Measurement Bias on Pavement Life Prediction / J.A. Prozzi, F. Hong, A. Leung // Transportation Research Record: Journal of the Transportation Research Board. – 2008. – Vol. 2087, №2087. – P. 91–98.

13. Farkhideh N. Evaluation of Accuracy of Weigh-In-Motion Systems in Alberta / N. Farkhideh, S. Nassiri, A. Bayat // International Journal of Pavement Research and Technology. – 2014. – Vol. 7, №3. – P. 169–177.

14. Wang Y. Axle Load Distribution for Mechanistic–Empirical Pavement Design / Y. Wang, D.E. Hancher, K. Mahboub // Journal of Transportation Engineering. – 2007. – Vol. 133, №8. – P. 469–479.

15. Ahmed A.W. Characterisation of heavy traffic axle load spectra for mechanistic-empirical pavement design applications / A.W. Ahmed, S. Erlingsson // International Journal of Pavement Engineering. – 2014. – Vol. 16, №6. – P. 488–501.

16. Hashemi Vaziri S. Investigation of the effects of air temperature and speed on performance of piezoelectric weigh-in-motion systems / S. Hashemi Vaziri, C.T. Haas, L. Rothenburg, et al. // Canadian Journal of Civil Engineering. – 2013. – Vol. 40, №10. – P. 935–944.

17. Haider S.W. Assessment of Factors Affecting Measurement Accuracy for High-Quality Weigh-in-Motion Sites in the Long-Term Pavement Performance Database / S.W. Haider, M.M. Masud, O. Selezneva, et al. // Transportation Research Record: Journal of the Transportation Research Board. – 2020. – Vol. 2674, №4. – P. 269–284.

18. Suangga M. Simple Span Bridge Loading Based on Weight in Motion Data / M. Suangga, Mahathir // IOP Conference Series: Earth and Environmental Science, 2021. – Vol. 794, №1. – P. 012064.

19. Socha A. Strain Gauge Calibration for High Speed Weight-in-Motion Station / A. Socha, Ja. Izydorczyk // Sensors. – 2024. – Vol. 24, №15. – P. 4845.

20. Experience in metrological support for the development and operation of AWSCP. [Electronic resource] // Tenso M. – 2024. – URL: https://www.tenso-m.ru/publications/417/ (accessed: 14.06.2025). (In Russ.).


Review

Рецензент: В.Н. Зузов, д-р техн. наук, проф., МГТУ им. Н.Э. Баумана

Views: 153


ISSN 2409-7217 (Online)