New functionalities of the weigh-in-motion system: iWIM solution

• Autorzy: Konior Aleksander , Konior Tomasz , Brzozowski Krzysztof , Maczyński Andrzej , Ryguła Artur

Identyfikatory

DOI

10.20858/tp.2023.18.2.14

• Języki publikacji: EN

Abstrakty

EN

This paper presents new functionalities for systems weighing vehicles in motion, which result from the integration of various measurement technologies and the use of a precise registration and data processing system. The utilized registration track provides accurate measurements of basic vehicle parameters such as axle load and vehicle speed and makes it possible to determine the location of the vehicle passing the weighing station, calculate the width of the tire tread, and detect twin (double) wheels. A key functionality is the assessment of the reliability of the measurement, taking into account, among other factors, vehicle movement dynamics and the ambient conditions during the measurements. For this purpose, additional measurements of road surface temperature and wind speed and direction were introduced. The technological solutions used and the proprietary data processing algorithms are described. Tests carried out to verify the effectiveness of the proposed algorithms and to assess the significance of the influence of the isolated factors permitted confirmation of the validity of the proposed solutions.

Słowa kluczowe

EN

weigh-in-motion; ITS; road traffic

PL

ważenie w ruchu; IST; ruch drogowy

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2023
• Tom: T. 18, z. 2
• Strony: 161--170
• Opis fizyczny: Bibliogr. 19 poz.

Twórcy

autor

Konior Aleksander

• APM PRO; Barska 70, 43-300 Bielsko-Biała, Poland

• https://orcid.org/0009-0002-2073-192X

autor

Konior Tomasz

• APM PRO; Barska 70, 43-300 Bielsko-Biała, Poland

• https://orcid.org/0009-0007-2758-1668

autor

Brzozowski Krzysztof

• University of Bielsko-Biala, Faculty of Management and Transport, Department of Transport; Willowa 2, 43- 309 Bielsko-Biala, Poland

• https://orcid.org/0000-0003-0973-1734

autor

Maczyński Andrzej

• Department of Transport, Faculty of Management and Transport, University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biala, Poland

• https://orcid.org/0000-0001-6019-2778

autor

Ryguła Artur

• Department of Transport, Faculty of Management and Transport, University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biala, Poland

• https://orcid.org/0000-0002-7215-6843

Bibliografia

• 1. Rys, D. & Judycki, J. & Jaskula, P. Analysis of effect of overloaded vehicles on fatigue life of flexible pavements based on weigh in motion (WIM) data. International Journal of Pavement Engineering. 2016. Vol. 17(8). P. 716-726.
• 2. Ryguła, A. & Brzozowski, K. & Maczyński, A. Limitations of the effectiveness of Weigh in Motion systems. Open Engineering. 2020. Vol. 10. P. 183-196.
• 3. Kim, J. & Jung, Y. & Utebayeva, A. & Kamaliyeva, Z. & Collins, N. & Sarbassov, D. & Sagin, J. & Amanzhlova, R. High-performance high-speed WIM for sustainable road load monitoring using GIS technology. Transport Problems. 2021. Vol. 16. No. 4. P. 149-162.
• 4. Scheuter, F. Evaluation of factors affecting WIM system accuracy. Proc. 2nd European Conference on COST. Lisbon, Portugal. 1998.
• 5. Sujon, M. & Dai, F. Application of weigh-in-motion technologies for pavement and bridge response monitoring: State-of-the-art review. Automation in Construction. 2021. Vol. 130. No. 103844. P. 1-19.
• 6. De Maeijer, P.K. & Luyckx, G. & Vuye, C. & Yoet, E. & Van den Bergh, W. & Vanlanduit, S. & Braspenninckx, J. & Stevens, N. & De Wolf, J. Fiber optics sensors in asphalt pavement: state-of- the-art review. Infrastructures. 2019. Vol. 4. No. 36. P. 1-16.
• 7. Hashemi, V.S. & 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. Canadian Journal of Civil Engineering. 2013. Vol. 40(10). P. 935-944.
• 8. Jia, Z. & Fu, K. & Lin, M. Tire-pavement contact-aware weight estimation for multi-sensor WIM systems. Sensors. 2019. Vol. 19. No. 2027. P. 1-13.
• 9. Rys, D. Investigation of Weigh-in-Motion measurement accuracy on the basis of steering axle load spectra. Sensors. 2019. Vol. 19. No. 15(3272). P. 1-10.
• 10. Prozzi, J.A. & Hong, F. Effect of Weigh-in-Motion system measurement errors on load-pavement impact estimation. Journal of Transportation Engineering. 2007. Vol. 133. No. 1. P. 1-10.
• 11. Kwon, T.M. Signal processing of piezoelectric Weight-in-Motion systems. In: Proceedings of the Fifth IASTED International Conference on Circuits, Signals and Systems. 2007.
• 12. Cebon, D. Handbook of Vehicle-Road Interaction. Part 2. Vehicle Dynamics. Swets and Zeitlinger BV. Lisse. The Netherlands. 1999. 600 p.
• 13. Burnos, P. & Gajda, J. & Piwowar, P. & Sroka, R. & Stencel, M. Accurate weighing of moving vehicles. Metrology and Measurement Systems. 2007. Vol. 14. P. 507-516.
• 14. Gajda, J. & Sroka, R. & Stencel, M. & Zeglen, T. & Piwowar, P. & Burnos, P. & Marszalek, Z. Design and accuracy assessment of the multi-sensor Weigh-In-Motion system, In: Proceedings IEEE International Instrumentation and Measurement Technology Conference (I2MTC). 2015. P. 1036-1041.
• 15. Gonzales, A. & Papagiannakis, A.T. & O’Brien, E. Evaluation of an artificial neural network technique applied to multiple sensor Weigh-in-Motion systems. Transportation Research Record Journal of the Transportation Research Board. 2003. No. 1855. P. 151-159.
• 16. Klein, E. & Purson, E. & Simon, D. &Gentil, G. High-speed weigh-in-motion road test in France. In: Proceedings of 7th International Conference on Weigh-in-Motion. Foz do Iguaçu. Brazil. 2016. P. 152-161.
• 17. Grakovski, A. & Pilipovecs, A. Multi-Purpose Fibre Optic System for Automated Vehicle’s Weighting-in-Motion and Classification in Applications of Intelligent Transport Systems. In: Proceedings of 7th 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). 2017. P. 610-614.
• 18. Grakovski, A. & Pilipovecs, A. The Problem of Tyre Footprint Width Estimation by Fibre Optic WIM Sensors in Condition of Geometric Complexity, In: Zamojski, W. & Mazurkiewicz, J. & Sugier, J. & Walkowiak, T. Dependability Engineering and Complex Systems, Advances in Intelligent Systems and Computing. Brunów. Poland. 2016. P. 219-227.
• 19. Ryguła, A. & Maczyński, A. & Brzozowski, K. & Grygierek, M. & Konior, A. Influence of Trajectory and Dynamics of Vehicle Motion on Signal Patterns in the WIM System. Sensors. 2021. Vol. 21. 22 p.