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Weigh-in-Motion System Design with Piezoelectric Sensor

Lianhe Guo, Yumei Tang, Jingyan Yu, Jing Li, Xuemin Chen, Richard Liu

Open publisher page 1 citations

Abstract

WJM (Weigh-In-Motion) system is an important part in the traffic data collection and law enforcement. A WIM system based on multiple piezoelectric sensors has been built to acquire data of axle weight from a moving vehicle. In order to design a good WIM system, different kinds of WIM systems will be compared in this article. Algorithms have been developed to interpret the acquired data and compute the axle weight, then to estimate the gross weight of the vehicle. A model of piezoelectric sensor was used to simulate the performance for WIM system that was also applied for the design of the charge amplifier. Comparison between Peak and Area Integral Algorithms has been made. The new speed correction algorithm conducts the measurement more accurately. The multiple sensors based design improves the measurement accuracy by reducing the effect of the vehicle dynamics.

About this research paper

What this paper is about

WJM (Weigh-In-Motion) system is an important part in the traffic data collection and law enforcement. A WIM system based on multiple piezoelectric sensors has been built to acquire data of axle weight from a moving vehicle. In order to design a good WIM system, different kinds of WIM systems will be compared in this article. Algorithms have been developed to interpret the acquired data and compute the axle weight, then to estimate the gross weight of the vehicle. A model of piezoelectric sensor was used to simulate the performance for WIM system that was also applied for the design of the charge amplifier. Comparison between Peak and Area Integral Algorithms has been made. The new speed correction algorithm conducts the measurement more accurately. The multiple sensors based design improves the measurement accuracy by reducing the effect of the vehicle dynamics.

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Available abstract

WJM (Weigh-In-Motion) system is an important part in the traffic data collection and law enforcement. A WIM system based on multiple piezoelectric sensors has been built to acquire data of axle weight from a moving vehicle. In order to design a good WIM system, different kinds of WIM systems will be compared in this article. Algorithms have been developed to interpret the acquired data and compute the axle weight, then to estimate the gross weight of the vehicle. A model of piezoelectric sensor was used to simulate the performance for WIM system that was also applied for the design of the charge amplifier. Comparison between Peak and Area Integral Algorithms has been made. The new speed correction algorithm conducts the measurement more accurately. The multiple sensors based design improves the measurement accuracy by reducing the effect of the vehicle dynamics.

Key concepts: Weigh in motion, Axle, Computer science, Piezoelectric sensor, Piezoelectricity, Data collection, Electronic engineering, Simulation

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