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Calibrating Wayfinding Decisions in Pedestrian Simulation Models: The Entropy Map
September 06, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Luca Crociani, Giuseppe Vizzari, Stefania Bandini
arXiv ID
1909.03054
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
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.
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