As the result of traffic state clustering only represents the characteristic of data itself, but lacks traffic theory basis, the consistency verification are proposed in the paper. Firstly, using the traffic state dividing theory from the perspective of combining theory and practice, the traffic state dividing machine is constructed based on Fuzzy C-means Clustering. Secondly, the completeness of detecting data on road section is classified into three types: the first type which contain congestion, but lack top data in statistical period; the second type which contain both congestion and top data; the third type which doesn't contain congestion. Thirdly, the consistency of clustering result and traffic state dividing theory is verified by Non-parametric statistical test method. Finally, taking the data from forty-three dual-loops on the eastern of shanghai north-south expressway in the ten days as examples, the empirical analysis is realized. The result show that the samples of first type and the second type are all successfully verified, that is to say, the traffic state clustering results of these two types can be taken as the final result of traffic state identification, but the clustering results of the third type need be modified by regression analysis.
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