Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System
In recent years, weigh-in-motion systems based on embedded sensor networks have received a lot of attention. However, how to improve the accuracy of multi-sensor weigh-in-motion (WIM) systems while keeping costs low remains a challenge. In this paper, a numerical simulation method is presented to analyze the relationship between sensor location and the accuracy of static weight estimation. The finite element model of a WIM system is developed, which consists of three parts: a pavement model, a moving load model and two types of sensor models. Analysis of simulation results shows that the ability of sensing dynamic load is closely related to the installation depth of sensors and pavement material. Moreover, the distance between the moving wheel and sensors has a great impact on estimating performance. Gaussian curve fitting could be used to reduce weighing error within a limited range. The authors' work suggests that much more attention should be paid to the design of the sensor layout of a WIM system.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
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Supplemental Notes:
- © 2018 Tianhao Qin et al.
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Authors:
- Qin, Tianhao
- Lin, Mengxiang
- Cao, Ming
- Fu, Kaiya
- Ding, Rong
- Publication Date: 2018-9
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: 17p
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Serial:
- Sensors
- Volume: 18
- Issue Number: 9
- Publisher: MDPI AG
- ISSN: 1424-8220
- Serial URL: http://www.mdpi.com/journal/sensors
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Dynamic loads; Estimating; Location; Sensors; Weigh in motion
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01685816
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 20 2018 10:17AM