A Multi-Agent Model for Evacuation System under Large-scale Events

The multi-agent system, which combines the cellular automata model, is of benefit to the simulations of large-scale events. Cars' movements were simulated using cellular automata model and their variability was introduced by superimposing agent. There were two submodels which based on the combined model. The first submodel simulated cars' movement in a park. The other submodel was proposed to simulate the congestion of mass cars on emergency channels around the park. Besides, the negotiation model was set to solve the problem of cars' position conflict. Moreover, drivers' attribution was introduced to this model. By setting these submodels, traffic flow time space dissipation models were analyzed. Compared with the investigation data, the results show that these submodels can simulate the evacuation process and have small errors.