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  Simulations of pedestrian flow and lane formation through causal entropy

Ebmeier, F. (2017). Simulations of pedestrian flow and lane formation through causal entropy. Bachelor Thesis, Georg-August-Universität, Göttingen.

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2017_bachelor_thesis_florian_ebmeier.pdf (Publisher version), 19MB
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Ebmeier, Florian1, Author              
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1Group Non-equilibrium soft matter, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063308              

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 Abstract: Simulating the dynamics of pedestrian flows is important for the design of safe public buildings and events. Due to the close connection between intelligent behaviour and pedestrian flows we propose a new simulation model using the causal entropic force model [1], which hints at a deeper connection between entropy maximization and intelligent behaviour. We simulated pedestrians moving in opposite directions within a two-dimensional channel. These pedestrians are manipulated by the causal entropic force. In this study we were able to reproduce the phenomenon of lane formation, which is one of the basic phenomena of pedestrian dynamics. In our simulations we were able to link the ratio R between the reservoir temperature and desired velocity to the formation of lanes. We also observed an ordering effect for large reservoir temperatures leading to fewer lanes formed. We conclude that the causal entropic force acts as \intelligent noise" in our simulation models. These results give a good indication that the causal entropic force may be able to accurately model the dynamics of pedestrian flows.

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Language(s): eng - English
 Dates: 2017-01-132017
 Publication Status: Published online
 Pages: 42
 Publishing info: Göttingen : Georg-August-Universität
 Table of Contents: -
 Rev. Type: -
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 Degree: Bachelor

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