Vehicle Detection System with Statistical Functions Based on 3-Axis Anisotropic Magnetoresistive Using Wireless Communication Technology

摘要

In terms of current issues that the sensor's output signal drifts along with the surrounding strong magnetic field by using the single or dual-axis analog anisotropic magnetoresistive (AMR) sensor in the traffic flow detection, a traffic flow detection system based on ZigBee wireless sensor network is developed and a novel approach by exercising the new digital three-axis AMR sensor to detect the traffic flow is proposed to solve these issues as mentioned above. Using Single Chip Microcomputer (SCM) control technique and utilizing wireless transmitting, an effective algorithm is designed. The algorithm makes it possible to classify vehicle, calculate vehicle speed and count vehicle, in the meantime it provides a reliable and efficient method to collect intelligent transportation data. Even more important, the algorithm has a statistical functions based on MATLAB. The experimental result shows that the novel method has much better measurement accuracy, reliability and redundancy than single or dual-axis method.