An agent-based simulation model for pedestrian unidirectional movement

Pedestrian movement behavior can be analyzed in different ways. One of the most common approaches for this subject is the cellular automata. However, the pedestrian behavior is usually modeled by a reactive-response framework. Also, the pedestrians are treated as just numbers or elements in a grid. This paper proposes a basic framework for a multi-agent pedestrian movement model. Applying the same rules found in a cellular-automata-reactive model, this framework allows a new look for this kind of phenomenon, and it paves the ground for a more cognitive agent model and a physical environment with distinct features as well.