This title appears in the Scientific Report :
2018
Please use the identifier:
http://dx.doi.org/10.1016/j.trc.2018.05.021 in citations.
Please use the identifier: http://hdl.handle.net/2128/18844 in citations.
A mesoscopic model for large-scale simulation of pedestrian dynamics
A mesoscopic model for large-scale simulation of pedestrian dynamics
A mesoscopic pedestrian model is proposed, considering pedestrians as individuals and describing their movement by means of aggregate density-flow relationships. The model builds on a stochastic process, describing transition rates among adjacent sites on a lattice. Each lattice can contain several...
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Personal Name(s): | Tordeux, Antoine (Corresponding author) |
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Lämmel, Gregor / Hänseler, Flurin S. / Steffen, Bernhard | |
Contributing Institute: |
Jülich Supercomputing Center; JSC Zivile Sicherheitsforschung; IAS-7 |
Published in: | Transportation research / C, 93 (2018) S. 128 - 147 |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2018
|
DOI: |
10.1016/j.trc.2018.05.021 |
Document Type: |
Journal Article |
Research Program: |
Computational Science and Mathematical Methods |
Link: |
Restricted Published on 2018-05-22. Available in OpenAccess from 2020-05-22. |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/18844 in citations.
A mesoscopic pedestrian model is proposed, considering pedestrians as individuals and describing their movement by means of aggregate density-flow relationships. The model builds on a stochastic process, describing transition rates among adjacent sites on a lattice. Each lattice can contain several pedestrians. The approach is minimal and fast to simulate, and, by construction, capable of capturing population heterogeneity as well as variability in walking behaviour and en-route path choice. The model is more efficient than microscopic models, and potentially more accurate than macroscopic ones. We calibrate and validate the model using real data and carry out several numerical experiments to present its key properties and possible applications for simulation of large-scale scenarios. |