Some researches have been carried out to deal with the distributed architectures of AGV (Automated Guided Vehicle) systems for ADMS (Autonomous Distributed Manufacturing Systems). However, motion analyses of individual AGV and their influence on efficiency of transportation processes are not considered enough. The Social Force Model is introduced to represent physical interactions and congestions among the people and the environment. The Social Force Model computes a force impact from the pedestrian's self-consciousness while the other two interaction forces from other pedestrians and the walls. The interaction force consists of a psychological force resulting from distance between each other, and a physical force inspired by counteracting body compression and sliding friction. The Social Force Model is applied to the autonomous distributed AGV in order to analyze motion of them and to improve the efficiency of transportation process, in this research.