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Analysis of Stability and Variability in Sensor Readings from a Vehicle Weigh-in-Motion Station
Artur Ryguła1, Krzysztof Brzozowski1, Marcin Grygierek2
1Department of Transport, Faculty of Management and Transport, University of Bielsko-Biala, Willowa 2, 43-300 Bielsko-Biała, Poland.
Sensors (Basel, Switzerland)
|January 8, 2025
Summary
Weigh-in-motion sensors show high stability and accuracy in automated vehicle weighing stations over three years. This research confirms their reliability for traffic management and overload control, even with changing road conditions.
Area of Science:
- Engineering
- Transportation Science
- Metrology
Background:
- Automated measurement stations are crucial for modern traffic management.
- Vehicle overload control relies on accurate weigh-in-motion (WIM) systems.
- Long-term sensor stability is essential for reliable WIM data.
Purpose of the Study:
- To assess the long-term stability and reading variability of WIM sensors.
- To evaluate WIM sensor performance in automated measurement stations.
- To determine the impact of road surface conditions on WIM sensor accuracy.
Main Methods:
- Analysis of WIM sensor data from 2022 to 2024.
- Inclusion of data from regular traffic and controlled vehicle runs.
- Monitoring of road surface conditions, including rut depth variations.
Main Results:
- WIM sensor parameters showed only minor changes over three years without calibration.
- High stability of the measurement system was observed.
- Consistent measurement accuracy was maintained throughout the study period.
Conclusions:
- The WIM sensors demonstrate excellent long-term stability and reliability.
- The measurement system is suitable for practical application in real-world traffic conditions.
- The findings support the use of WIM sensors for effective traffic management and overload enforcement.
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