根據(jù)目前中國(guó)路橋車輛收費(fèi)標(biāo)準(zhǔn)，提出了一種基于模糊模式識(shí)別的車型分類系統(tǒng)。車輛經(jīng)過(guò)環(huán)形線圈傳感器時(shí)，形成感應(yīng)曲線，提取感應(yīng)曲線的特征并進(jìn)行特征分離，利用模糊模式識(shí)別方法對(duì)車型進(jìn)行匹配分類。研究結(jié)果已在路橋收費(fèi)系統(tǒng)以及交通流量統(tǒng)計(jì)中得到應(yīng)用。
關(guān)鍵詞：模糊模式識(shí)別；車輛分類；特征分離
【Abstract】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.
【Key words】F uzzy pattern recognition ; Vehicle classification ；Character separation