Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra
Weigh-in-motion systems are installed in pavements or on bridges to identify and reduce the number of overloaded vehicles and minimise their adverse effect on road infrastructure. Moreover, the collected traffic data are used to obtain axle load characteristics, which are very useful in road infrast...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/15/3272 |
| _version_ | 1798041946235600896 |
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| author | Dawid Rys |
| author_facet | Dawid Rys |
| author_sort | Dawid Rys |
| collection | DOAJ |
| description | Weigh-in-motion systems are installed in pavements or on bridges to identify and reduce the number of overloaded vehicles and minimise their adverse effect on road infrastructure. Moreover, the collected traffic data are used to obtain axle load characteristics, which are very useful in road infrastructure design. Practical application of data from weigh-in-motion has become more common recently, which calls for adequate attention to data quality. This issue is addressed in the presented paper. The aim of the article is to investigate the accuracy of 77 operative weigh-in-motion stations by analysing steering axle load spectra. The proposed methodology and analysis enabled the identification of scale and source of errors that occur in measurements delivered from weigh-in-motion systems. For this purpose, selected factors were investigated, including the type of axle load sensor, air temperature and vehicle speed. The results of the analysis indicated the obvious effect of the axle load sensor type on the measurement results. It was noted that systematic error increases during winter, causing underestimation of axle loads by 5% to 10% for quartz piezoelectric and bending beam load sensors, respectively. A deterioration of system accuracy is also visible when vehicle speed decreases to 30 km/h. For 25% to 35% of cases, depending on the type of sensor, random error increases for lower speeds, while it remains at a constant level at higher speeds. The analysis also delivered a standard steering axle load distribution, which can have practical meaning in the improvement of weigh-in-motion accuracy and traffic data quality. |
| first_indexed | 2024-04-11T22:28:39Z |
| format | Article |
| id | doaj.art-a9ff717c32184a428444ea1ed27da18b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:28:39Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a9ff717c32184a428444ea1ed27da18b2022-12-22T03:59:34ZengMDPI AGSensors1424-82202019-07-011915327210.3390/s19153272s19153272Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load SpectraDawid Rys0Department of Highway and Transportation Engineering, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, 80-263 Gdansk, PolandWeigh-in-motion systems are installed in pavements or on bridges to identify and reduce the number of overloaded vehicles and minimise their adverse effect on road infrastructure. Moreover, the collected traffic data are used to obtain axle load characteristics, which are very useful in road infrastructure design. Practical application of data from weigh-in-motion has become more common recently, which calls for adequate attention to data quality. This issue is addressed in the presented paper. The aim of the article is to investigate the accuracy of 77 operative weigh-in-motion stations by analysing steering axle load spectra. The proposed methodology and analysis enabled the identification of scale and source of errors that occur in measurements delivered from weigh-in-motion systems. For this purpose, selected factors were investigated, including the type of axle load sensor, air temperature and vehicle speed. The results of the analysis indicated the obvious effect of the axle load sensor type on the measurement results. It was noted that systematic error increases during winter, causing underestimation of axle loads by 5% to 10% for quartz piezoelectric and bending beam load sensors, respectively. A deterioration of system accuracy is also visible when vehicle speed decreases to 30 km/h. For 25% to 35% of cases, depending on the type of sensor, random error increases for lower speeds, while it remains at a constant level at higher speeds. The analysis also delivered a standard steering axle load distribution, which can have practical meaning in the improvement of weigh-in-motion accuracy and traffic data quality.https://www.mdpi.com/1424-8220/19/15/3272weigh-in-motionoverweight vehiclesoverloaded vehiclesheavy trafficaxle load spectrasteering axlebending beampiezoelectricpiezoquartzaxle load sensors |
| spellingShingle | Dawid Rys Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra Sensors weigh-in-motion overweight vehicles overloaded vehicles heavy traffic axle load spectra steering axle bending beam piezoelectric piezoquartz axle load sensors |
| title | Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra |
| title_full | Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra |
| title_fullStr | Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra |
| title_full_unstemmed | Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra |
| title_short | Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra |
| title_sort | investigation of weigh in motion measurement accuracy on the basis of steering axle load spectra |
| topic | weigh-in-motion overweight vehicles overloaded vehicles heavy traffic axle load spectra steering axle bending beam piezoelectric piezoquartz axle load sensors |
| url | https://www.mdpi.com/1424-8220/19/15/3272 |
| work_keys_str_mv | AT dawidrys investigationofweighinmotionmeasurementaccuracyonthebasisofsteeringaxleloadspectra |