Linguistic dynamic analysis for single lane´s traffic status based on FCM

The results of traditional traffic status analysis are mostly single values, whose accuracy can´t be determined; fuzzy c-means clustering (FCM) algorithm based on fuzzy theory can calculate the clustering center of plenty data quickly and easily; linguistic dynamic systems could describe the dynamic rules of complex systems in the language level. In this paper, membership functions are decided by FCM; result of a specific time period taken as one example is obtained; it´s discussed that linguistic dynamic analysis of traffic status in different period within a day by the same method.