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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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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-2608-C Version Permalink: https://hdl.handle.net/21.11116/0000-0006-FD07-6
Genre: Thesis

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2017_bachelor_thesis_florian_ebmeier.pdf (Publisher version), 19MB
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 Creators:
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: -
 Identifiers: -
 Degree: Bachelor

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