Design Of Highway Vehicle Dynamic Weighing System Based On Recurrent Networks

As being the effective tool to forbid overloading, vehicles'weigh-in-motion (WIM) system is the important part of intelligent transport system(ITS). Nowadays, the WIM technology is being in the rapid developing period.In this article, something important as keys of the system were found such as ATM-AVR singlechip, A/D conversion and data communication. At the same time, the communications protocols were designed. Furthermore, we made some describing about the way using Studio software and designed the whole project. Based on the situation of sensor's development and performance, we chose quartz piezoelectric sensors to be as the weight part of the WIM system, and made some improvements to the data acquisition circuit.We gained the vehicles'data by using the Microsoft Visual C++ 6.0 software and implemented the communication between upper computer and lower computer. And, at the same time, we stored the data in the document and drew relevant real time curve.Focusing on the merits and drawbacks of the being used methods of data processing and basing on the feature of the WIM signal, we completed data pretreatment by using wavelet multi-resolution techniques. Behind pretreatment, the corresponding relationship between the output of sensors and the static weight of vehicle was found by recurrent networks, which was first touched in this article. At the end of the article, aiming to show the advantages of recurrent networks in the data processing of WIM system, we made matlab stimulation and comparisons not only among different performance acting by different impact factors inside networks, but also between recurrent networks and other neural networks, such as BP network and RBF network.