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This paper proposed a personalized two-layer regional transportation control model for urban transportation control issues during big events. Firstly,this paper analyzed basic regional transportation control principles faced during big events and built a two-layer regional transportation control model that was both a personalized transportation management model and control model, which could fully reflect personalized experiences of transportation controllers. Then, based on particle swarm algorithm,this paper proposed a model optimization solution based on compression particle swarm and finally ,generated a control vector of every area and intersection in each region. This paper used examples of organized big events in Changsha city to simulate and verify transportation control. The simulation results showed that during big events,regional transportation system worked well, which indicated that this model was able to effectively solve regional transportation problems during big events.
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