Emergency evacuation model of panic group based on Big data

In order to study the effect of panic group behavior on the efficiency of crowd evacuation in emergencies, a crowd emergency evacuation model was constructed based on the theory of big data technology and ant colony algorithm. The panic factor and panic group factor are considered in the model, making the model closer to the actual situation. Based on the complexity of model calculation, the ant colony algorithm is used to solve the model. The research results show that in the emergency evacuation process, attention needs to be paid to the evacuation of key nodes (current restricted areas), and due to the different effects of the panic degree of the evacuated crowd in the evacuation road network on the road sections, attention should be paid to the evacuation process of key road sections to avoid occurrence Crowded stampede and other incidents.