基于模糊模式识别的车型分类研究  

Research of Vehicle Classification Based on Fuzzy Pattern Recognition

作　　者：耿彦峰[1] 马钺[1] 

机构地区：[1]中国科学院沈阳自动化研究所,沈阳110015

出　　处：《计算机工程》2002年第1期133-135,共3页Computer Engineering

摘　　要：根据目前中国路桥车辆收费标准,提出了一种基于模糊模式识别的车型分类系统。车辆经过环形线圈传感器时,形成感应曲线,提取感应曲线的特征并进行特征分离,利用模糊模式识别方法对车型进行匹配分类。研究结果已在路桥收费系统以及交通流量统计中得到应用。According to the toll standard on freeway and bridge in China,a vehicle classification system based on fuzzy pattern recognition is put forward. To introduce a method for vehicle classification based on the loop sensors,when the vehicle is passing, it can form a response curve caused by the vehicle pass. The fuzzy pattern recognition with character separation was used to classify vehicles according to the curve from the loop sensor. The research result was applied in the freeway and bridge toll system and the traffic-flow statistics system.

关 键 词：模糊模式识别 车辆分类 特征分离 车型分类 智能交通系统 

分 类 号：U491.2[交通运输工程—交通运输规划与管理] TP391.4[交通运输工程—道路与铁道工程]