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目的车辆经过环形线圈传感器时，车体铁磁物质与环形线圈相互作用改变了线圈的频率，形成感应曲线．针对感应曲线的不同形状，对车辆进行自动分类．方法采用特征分离的模糊模式识别方法，根据每类车辆感应曲线的特点，找出一组特征唯一地描述该类车辆，从而进行匹配分类．结果本文的研究方法及其装置已在道路、桥梁收费系统以及在交通流量统计中得到利用．结论特征分离与匹配分类的模糊模式识别方法能够较为准确地对车辆进行分类
When the target vehicle passes through the loop coil sensor, the interaction between the ferromagnetic material and the loop coil changes the frequency of the coil to form an induction curve. For the different shape of the induction curve, the vehicles are automatically classified. Methods A fuzzy pattern recognition method based on feature separation was used to find out a set of features that uniquely described the vehicles according to the characteristics of each type of vehicle sensing curve so as to classify the vehicles. Results The research method and its device in this paper have been used in road and bridge toll collection system and in traffic flow statistics. Conclusion The fuzzy pattern recognition method based on feature separation and matching classification can classify vehicles more accurately