Abstract: In order to effectively improve simulation accuracy of crowd evacuation in a multi-exit environment, a novel crowd evacuation model was established based on social force model and particle pigeons algorithm. Self-driving direction that affected pedestrian movement in traditional social force model was improved by obtaining moving direction of pedestrian through field model. Then, an evacuation optimization model for a multi-exit environment was established with consideration to field values, average velocity and congestion degree, and it was solved quickly by employing particle pigeons algorithm. The results show that as crowd density increases, average evacuation velocity decreases first and then increases slowly. When density is small, the larger field weight value is, the less time evacuation takes.

Key words: multi-exit environment, crowd evacuation, social force model, field model, particle pigeons algorithm