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Self-organization in unsignalized urban traffic flow

This paper deals with an analysis of the dynamic behavior and collective rule organization in the motor vehicle traffic model on a non-signal urban street. Based on the local information and interactions, the drivers change their behavior to run faster along the way. We analyze the global traffic behavior in terms of the relation between the self-organizing rule and traffic efficiency. According to the simulation results, we observe that a self-organizing traffic rule emerged, which behaves like a signal traffic flow, and the traffic efficiency has also improved due to the existence of the emergent traffic pattern. We conclude that the traffic pattern can adapt to the environmental change of traffic density.