This title appears in the Scientific Report :
2016
Please use the identifier:
http://dx.doi.org/10.1111/mice.12209 in citations.
Please use the identifier: http://hdl.handle.net/2128/10766 in citations.
Multidestination Pedestrian Flows in Equilibrium: A Cellular Automaton-Based Approach
Multidestination Pedestrian Flows in Equilibrium: A Cellular Automaton-Based Approach
This article presents a new simulation approach for multidestination pedestrian crowds in complex environments. The work covers two major topics. In the first part, a novel cellular automaton (CA) model is proposed. The model describes the pedestrian movement by a set of simple rules and produces fu...
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Personal Name(s): | Crociani, Luca |
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Lämmel, Gregor (Corresponding author) | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: | Computer-aided civil and infrastructure engineering, 31 (2016) 6, S. 432–448 |
Imprint: |
Boston, Mass. [u.a.]
Blackwell
2016
|
DOI: |
10.1111/mice.12209 |
Document Type: |
Journal Article |
Research Program: |
Computational Science and Mathematical Methods |
Link: |
Published on 2016-05-11. Available in OpenAccess from 2017-05-11. |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/10766 in citations.
This article presents a new simulation approach for multidestination pedestrian crowds in complex environments. The work covers two major topics. In the first part, a novel cellular automaton (CA) model is proposed. The model describes the pedestrian movement by a set of simple rules and produces fundamental diagrams similar to those derived from laboratory experiments. The second topic of this work describes how the CA can be integrated into an iterative learning cycle where the individual pedestrian can adapt travel plans based on experiences from previous iterations. Depending on the setup, the overall travel behavior moves either toward a Nash equilibrium or the system optimum. The functional interaction of the CA with the iterative learning approach is demonstrated on a set of transport paradoxes. Furthermore, time series of speed and density observed in a small-scale experiment show a general agreement between the CA simulation and laboratory experiments. The scalability of the proposed approach is demonstrated on a large-scale scenario. |