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The real-time discrimination of urban expressway traffic state is an important reference for traffic management departments to make decisions. In this paper, a parallel genetic fuzzy clustering algorithm is proposed to overcome the shortcomings of the fuzzy c-means clustering algorithm. A traffic state discrimination model is established by using the support vector machine, and the parameters of the support vector machine are optimized by using particle swarm optimization, network search anddoaj:afd4973d2f1849cabc217c35e662c586 fatcat:chlvccm32zewlmwienjmyaxwe4