Pattern-Based Study on Urban Transportation System States and Properties with Fuzzy Reasoning Methods

In this paper,we propose a novel pattern-based method to model the classification and transition properties of traffic flow.First,fuzzy set classification method is utilized to divide the traffic states,where the states are partitioned into a number of patterns.Then,fuzzy qualitative reasoning is applied to analyze the transitions between the states.Based on the probability of transition,stability of the traffic states is further investigated.Finally,a case study on urban transportation system is performed to demonstrate the usage of the proposed approach.