Traffic state of rapid identification and transitions shift method based on fuzzy theory
Lei Wu · Journal of Central South University(Science and Technology) · 2013
Based on the temporal and spatial variation characteristics of traffic flow,the traffic state rapid identification algorithms and how to realize the traffic state transitions shift were put forward.Firstly,relying on the video detection technology to extract traffic flow parameters,fuzzy theory was applied to build traffic state rapid identification model,realized the traffic state identification,trend tracking and dynamic warning.Then,through the fuzzy cognitive map analysis of transitions shift law between the traffic states,the traffic state transitions shift function was realized,and the next time forecast evaluation of the traffic state was established.Finally,combining with examples,the feasibility of the method was verified.