Mathematical Modeling of Signals for Weight Control of Vehicles Using Seismic Sensors

The article presents a new method of passive dynamic weighing of vehicles based on the registration of seismic signals that occur when wheels pass through strips specially applied to the road surface. Signal processing is carried out using spectral methods, including fast Fourier transform, consistent filtering, and regularization methods for solving inverse problems. Special attention is paid to the use of linear-frequency-modulated signals, which make it possible to distinguish the responses of individual axes even when superimposed. Field tests were carried out on a real section of the road, during which signals from vehicles of various classes were recorded using eight geophones. The average error in determining the speed of 1.2 km/h and the weight of 8.7% was experimentally achieved, while the correct determination of the number of axles was 96.5%. The results confirm the high accuracy and sustainability of the proposed approach with minimal implementation costs. It is shown that this system can be scaled up for use in intelligent transport systems and applied in real traffic conditions without the need to intervene in the design of the roadway.

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Publication Details

Journal
Mathematics
Published
2025-06-24
DOI
https://doi.org/10.3390/math13132083
Citations
3
Primary Topic
Transport Systems and Technology
Type
article
Field-Weighted Citation Impact
2.14
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article

Mathematical Modeling of Signals for Weight Control of Vehicles Using Seismic Sensors

Anton Y. Demin, Denis V. Valuev, Nikita V. Martyushev, Егор Алексеевич Ефременков et al.
3 citations
Mathematics
Transport Systems and Technology
2.14
article

Mathematical Modeling of Signals for Weight Control of Vehicles Using Seismic Sensors

Anton Y. Demin, Denis V. Valuev, Nikita V. Martyushev, Егор Алексеевич Ефременков, Boris V. Malozyomov, Aleksandr E. Boltrushevich, Alexander V. Pogrebnoy
article en
3 citations

Abstract

The article presents a new method of passive dynamic weighing of vehicles based on the registration of seismic signals that occur when wheels pass through strips specially applied to the road surface. Signal processing is carried out using spectral methods, including fast Fourier transform, consistent filtering, and regularization methods for solving inverse problems. Special attention is paid to the use of linear-frequency-modulated signals, which make it possible to distinguish the responses of individual axes even when superimposed. Field tests were carried out on a real section of the road, during which signals from vehicles of various classes were recorded using eight geophones. The average error in determining the speed of 1.2 km/h and the weight of 8.7% was experimentally achieved, while the correct determination of the number of axles was 96.5%. The results confirm the high accuracy and sustainability of the proposed approach with minimal implementation costs. It is shown that this system can be scaled up for use in intelligent transport systems and applied in real traffic conditions without the need to intervene in the design of the roadway.

MathematicsVol. 13(13)
National Research Tomsk State University (RU), Tomsk Polytechnic University (RU), Novosibirsk State Technical University (RU)
Openalex Percentile: Top 13%
Transport Systems and Technology
2.14
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Mathematical Modeling of Signals for Weight Control of Vehicles Using Seismic Sensors — Anton Y. Demin, Denis V. Valuev, et al. · Mathematics (2025) | TGRS Research Map | TGRS