This paper presents entropy maps, an approach to describing and visualising uncertainty among alternative potential movement intentions in pedestrian simulation models. In particular, entropy maps show the instantaneous level of randomness in decisions of a pedestrian agent situated in a specific point of the simulated environment with an heatmap approach. Experimental results highlighting the relevance of this tool supporting modelers are provided and discussed.MSC Codes 68U20
Crociani, L., Vizzari, G., Bandini, S. (2019). Calibrating way finding decisions in pedestrian simulation models: The entropy map. In The 16th International Conference on Modeling Decisions for Artificial Intelligence.
Calibrating way finding decisions in pedestrian simulation models: The entropy map
Crociani L.;Vizzari G.;Bandini S.
2019
Abstract
This paper presents entropy maps, an approach to describing and visualising uncertainty among alternative potential movement intentions in pedestrian simulation models. In particular, entropy maps show the instantaneous level of randomness in decisions of a pedestrian agent situated in a specific point of the simulated environment with an heatmap approach. Experimental results highlighting the relevance of this tool supporting modelers are provided and discussed.MSC Codes 68U20
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
