An Organization Method Research of Simulation-Based Dynamic of Urban Traffic Circle

With growing urban traffic, control strategy in traffic circles are needed: signals, stop/yield signs, and traffic lights. In this paper, we create two progressive simulation models, the first macroscopic models are based on Markov chain, and the second simulates traffic by traffic capacity. We find that the number of lanes in the circle are major factors for optimal choice of a control system, and by exam the Bell Tower Circle in Xi’an, our model is accurate suitable. The simulated-based performance of traffic circles with an intellectual period of traffic light operate better than fixed cycle traffic light. However, further research will be done to verify strength and sensitivity of our model, as well as emergency cases to judge its flexibility.