智能交通系统中车型分类的模糊模式识别方法

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

A Method of Fuzzy Pattern Recognition Applied in Intelligent Traffic System for Vehicle Classification

Aim To introduce a method for vehicle auto classification based on the loop sensors, which can check the frequency change caused by the vehicle ferromagnet. Methods The fuzzy pattern recognition with character separation was used to classify vehicles accoding to the curve from the loop sensor since there is a set of characters which can uniquely describe a kind of curve. Results The method and related equipment were applied in the road and bridge toll system and the traffic flow statistics system. Conclusion The fuzzy pattern recognition method proposed can classify vehicle property accurately.