Graduate School of Science and Engineering, Doshisha University, Japan.

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Abstract—This article proposes a new pedestrian model that precisely simulates the avoidance behavior so as to realize the pedestrians' walking action. For the design of the facility, the simulation is used as a means for predicting and analyzing the movement of pedestrians. However, most of the simulators focus on the flow of pedestrian but do not consider the movement of each pedestrian. As a result, conventional simulators are useful to simulate the phenomenon of macro level movement of pedestrian but are not useful to simulate the micro-level simulation. Therefore, we aim to implement the pedestrian flow simulator that enables us to observe each pedestrian behavior by using the Multi-Agent System. Research on pedestrian model began in the 1970s, but all models cannot simulate the behavior of the pedestrian individual well. Social Force Model, which is one of the typical pedestrian models, reproduces the behavior using the equation of motion by considering the mass point pedestrian. Accordingly, this model is effective in high-density state. By contrast, there is several problems in low-density state: the avoidance speed and trajectory. Hence, we propose a new model by introducing the concept of sub-goal and new force in order to solve this problem. Furthermore, the evaluation experiment shows that proposal model improves these problems.

Index Terms—Multi agent simulation, pedestrian model, social force model, sub-goal.

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Cite: Tohru Mizuno, Hirohide Haga, "New Pedestrian Model Based on a Social Force Model with Sub-goals," Journal of Computers vol. 14, no. 11, pp. 634-649, 2019.