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Creators/Authors contains: "Veprek, K"

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  1. Previous simulations of crossing flows using a vision-based collision-avoidance model reproduced lanes and stripes but showed larger heading adjustments during crossing than the human data. Here we investigate two possible explanations. First, we tested participants walking through a virtual crowd under two density conditions, refit the collision avoidance model, and re-simulated the crossing flows data. Our findings reveal little influence of moderate densities on human collision avoidance behavior. Second, we are testing mutual collision avoidance between two participants to determine whether a revised model better approximates the crossing flows data. 
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    Free, publicly-accessible full text available September 8, 2026