Improvement of Social Force Model Based on Expected Rate Model

The social force model is one of the most commonly used models for microscopic modeling of pedestrian movement and crowd evacuation. A large number of researchers have conducted continuous research on it, which makes the social force model suitable for pedestrian movement and crowd evacuation modeling in a variety of complex environments. The prerequisite for the effective use of the social force model in actual scenarios is the need to check and verify the social force model according to the application scenario. Therefore, it is necessary to confirm the correct realization of the social force model structure from the perspective of theory and practical application. The expected velocity parameter has an important impact on the movement of the crowd, including evacuation time and flow rate, so the expected velocity also needs to be considered during model validation. In addition, the performance of the social force model is also sensitive to the expected rate, measured by entropy. However, research and analysis on the desired rate setting is still lacking. In this paper, the optimal selection of the expected rate sub-model in the social force model is carried out in a data-driven manner, so that the social force model can more realistically reflect the movement of crowds, so that it can be better used in crowd control based on modeling and simulation.