Adaptive tactical decisions in pedestrian simulation: A hybrid agent approach

Tactical level decisions in pedestrian simulation are related to the choice of a route to follow in an environment comprising several rooms connected by gateways. Agents are supposed to be aware of the environmental structure, but they should also be aware of the level of congestion, at least for the gateways that are immediately in sight. This paper presents the tactical level component of a hybrid agent architecture in which these decisions are enacted at the operational level by mean of a floor-field based model, in a discrete simulation approach. The described model allows the agent taking decisions based on a static a-priori knowledge of the environment and dynamic perceivable information on the current level of crowdedness of visible path alternatives.