Three-Layers Model of Pedestrian in 2D Complex Space

Abstract

Abstract Walking is the basic way of human movement. How to model pedestrian in complex space is a challenge. Various models such as social force and cellular automaton have been proposed. These models can reproduce some macroscopic characteristics of pedestrian, but are not very effective in complex space. This paper proposes a pedestrian model framework, including mental-planning-moving three layers. The mental layer depicts the mental state of pedestrians, selects the movement mode, destination, and speed. The planning layer performs route planning and determines the sequence of temporary target points. The moving layer could embed social force model to realize physical movement. The framework can introduce incomplete information and uncertainty, which makes the pedestrian’s decision-making probabilistic, and the trajectory has a certain degree of randomness. A pedestrian simulation software has been developed, and multiple simulation experiments have been performed in a complex two-dimensional space. The results show that the model can describe the pedestrian in a complex space realistically.