The paper introduces a social force model to describe pedestrian dynamics, where pedestrians are influenced by internal motivations rather than direct environmental forces. The model includes several force terms: one for desired velocity, one for maintaining distance from others and boundaries, and one for attractive effects. These forces are nonlinearly coupled in Langevin equations, which are used to simulate pedestrian behavior. Computer simulations show that the model can realistically describe self-organized collective phenomena, such as lane formation and oscillatory changes in walking direction at narrow passages. The authors also discuss the potential applications of the model in urban planning and the possibility of extending it to other social phenomena.The paper introduces a social force model to describe pedestrian dynamics, where pedestrians are influenced by internal motivations rather than direct environmental forces. The model includes several force terms: one for desired velocity, one for maintaining distance from others and boundaries, and one for attractive effects. These forces are nonlinearly coupled in Langevin equations, which are used to simulate pedestrian behavior. Computer simulations show that the model can realistically describe self-organized collective phenomena, such as lane formation and oscillatory changes in walking direction at narrow passages. The authors also discuss the potential applications of the model in urban planning and the possibility of extending it to other social phenomena.