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Traffic Forecasting Model Based on Takagi-Sugeno Fuzzy Logical System
作者姓名:王维工  李征  程美玲
作者单位:CollegeofInformationScienceandTechnology,DonghuaUniversity,Shanghai200051
摘    要:The local multiple regression fuzzy(LMRF)model based on Takagi-Sugeno fuzzy logical system and its application in traffic forecasting is proposed. Besides its prediction accuracy is testified and the model is proved much better than conventional forecasting methods. According to the regional traffic system, the model perfectly states the complex non-linear relation of the traffic and the local social economy. The model also efficiently deals with the system lack of enough data.

关 键 词:交通预测模型  模糊逻辑系统  T-S模型  非线性系统  LMRF模式

Traffic Forecasting Model Based on Takagi-Sugeno Fuzzy Logical System
Wang wei-gong,LI Zheng,CHENG Mei-ling.Traffic Forecasting Model Based on Takagi-Sugeno Fuzzy Logical System[J].Journal of Donghua University,2005,22(1):129-132.
Authors:Wang wei-gong  LI Zheng  CHENG Mei-ling
Abstract:The local multiple regression fuzzy(LMRF)model based on Takagi-Sugeno fuzzy logical system and its application in traffic forecasting is proposed. Besides its prediction accuracy is testified and the model is proved much better than conventional forecasting methods. According to the regional traffic system, the model perfectly states the complex non-linear relation of the traffic and the local social economy. The model also efficiently deals with the system lack of enough data.
Keywords:T-S model  traffic forecasting  LMRF model
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