A Pedestrian Model Considering Anticipatory Behaviour for Capacity Evaluation

Abstract

This study proposes a microscopic model of a pedestrian flow that considers the anticipation and decision processes of pedestrians interacting with each other by incorporating game theory. Modelling pedestrian flow in crowded places is essential for evaluating pedestrian facilities and their capacity. It is necessary to consider the anticipation and decision processes of pedestrians interacting with each other because pedestrians are likely to collide frequently in congested situations. This study proposes a model that utilizes the concept of Nash equilibrium. An algorithm for simulating the model is proposed, along with an algorithm for determining the best route of a pedestrian considering the existence of other pedestrians. That the proposed model is capable of reproducing the congested pedestrian flow is confirmed by numerical tests.