In recent years, weigh-in-motion systems based on embedded sensor networks have\nreceived a lot of attention. However, how to improve the accuracy of multi-sensor weigh-in-motion\n(WIM) systems while keeping costs low remains a challenge. In this paper, a numerical simulation\nmethod is presented to analyze the relationship between sensor location and the accuracy of static\nweight estimation. The finite element model of a WIM system is developed, which consists of\nthree parts: a pavement model, a moving load model and two types of sensor models. Analysis of\nsimulation results shows that the ability of sensing dynamic load is closely related to the installation\ndepth of sensors and pavement material. Moreover, the distance between the moving wheel and\nsensors has a great impact on estimating performance. Gaussian curve fitting could be used to reduce\nweighing error within a limited range. Our work suggests that much more attention should be paid\nto the design of the sensor layout of a WIM system.
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