Study of early-warning model of traffic congestion based on extension theory

Traffic congestion is a complex problem affected by many factors. Considering the advantage of extension theory which abstracting complex problems in dealing with conflict events, this paper combines with extension theory and traffic congestion, and constructs the early-warning model of traffic congestion including 9 indexes and 5 levels based on the factors of traffic flow, road load, intersection capacity, weather condition, emergency and so on. In view of the conflict interaction of various factors, this paper uses the simple extension correlation function to determine the evaluation weights. The example calculation shows that the model is suitable for evaluation of urban traffic congestion qualitatively, and for assisting early-warning decision quantitatively.