Abstract
This paper proposes a fusion-based extended social force model specifically designed to simulate collective behavior in bidirectional pedestrian flow. By integrating the social force model with the classic Vicsek model, the research not only examines adjustments in individuals’ desired speeds but also introduces a correction mechanism for alignment effects, aiming to enhance the model’s representation of realistic pedestrian movement. The accuracy of the model was validated through numerical simulations, and key parameters influencing group dynamics were further analyzed. The results demonstrate that the model effectively reduces traffic congestion and improves transportation efficiency, with particularly significant effects observed in smaller groups. The study’s findings contribute meaningfully to the theoretical framework of the social force model in bidirectional pedestrian dynamics and may have potential applications in the design of collaborative robotic swarm behaviors.
Published Version
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