Anisotropic contractile particle model with avoidance for simulating pedestrian navigation in dilute and dense systems

Abstract

We introduce a novel rule-based pedestrian simulation model that extends an existing one byincorporating enhanced particle contact rules and evasive maneuver capabilities for collisionavoidance. The model is calibrated using individual trajectory data from avoidance experiments.With the same set of parameters, the new model satisfactorily replicates experimentalobservations, including the avoidance behavior of individual agents, fundamental diagrams ofunidirectional and bidirectional flows, as well as specific flow rates through bottlenecks.