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.

中文翻译：

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基于融合的扩展社会力模型，用于双向行人运动中的互惠转换任务


本文提出了一种基于融合的扩展社会力量模型，专门用于模拟双向行人流中的集体行为。通过将社会力量模型与经典的 Vicsek 模型相结合，该研究不仅考察了个人所需速度的调整，还引入了对齐效果的校正机制，旨在增强模型对真实行人运动的表示。通过数值模拟验证了模型的准确性，并进一步分析了影响群体动力学的关键参数。结果表明，该模型有效地减少了交通拥堵，提高了运输效率，在较小的群体中观察到了特别显著的效果。该研究结果对双向行人动力学中社会力量模型的理论框架做出了有意义的贡献，并可能在协作机器人群体行为的设计中具有潜在的应用。