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This paper presents a novel approach to simulate human wayfinding behaviourincorporating visual cognition into a software agent for a computer aidedevaluation of wayfinding systems in large infrastructures. The proposedapproach follows the Sense-Plan-Act paradigm comprised of a model for visualattention, navigation behaviour and pedestrian movement. Stochastic features ofperception are incorporated to enhance generality and diversity of thedeveloped wayfinding simulation to reflect a variety of behaviours. Thevalidity of the proposed approach was evaluated based on empirical datacollected through wayfinding experiments with 20 participants in an immersivevirtual reality environment using a life-sized 3D replica of Vienna's newcentral railway station. The results show that the developed cognitiveagent-based simulation provides a further contribution to the simulation ofhuman wayfinding and subsequently a further step to an effective evaluationtool for the planning of wayfinding and signage.

Using cognitive agent-based simulation for the evaluation of indoor wayfinding systems