针对交通状态识别问题,提出了基于可拓决策理论的解决方法,选择适当的交通流特征因素,建立了待识别交通模式的经典域物元及节域物元模型,并从交通流参数的测量值标准化和交通状态的不确定性特点出发,采用隶属度的表示方法来对所选择的特征参数加以映射,应用各特征参数对于4种模式的隶属度来确定经典域及节域的具体区间,通过建立关联函数计算关联度得到定量的交通模式评价结果.%The paper put forward a new method of traffic state recognition based on extension decision.At first, the right traffic flow characteristics factors were selected, then the standard and extensional matrixes of traffic state were constructed, with the uncertainty of traffic state and the standardization of traffic characteristics factors, the traffic flow characteristics factors were expressed by fuzzy membership, and with the fuzzy membership, the data of standard and extensional matrixes for different traffic state patterns was defined, at last, the traffic state patterns were gotten by computing correlative degree.
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