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001     848087
005     20210129233946.0
024 7 _ |a 10.1016/j.trc.2018.05.021
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024 7 _ |a 1879-2359
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024 7 _ |a 2128/18844
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100 1 _ |a Tordeux, Antoine
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245 _ _ |a A mesoscopic model for large-scale simulation of pedestrian dynamics
260 _ _ |a Amsterdam [u.a.]
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520 _ _ |a 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.
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700 1 _ |a Lämmel, Gregor
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700 1 _ |a Hänseler, Flurin S.
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700 1 _ |a Steffen, Bernhard
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773 _ _ |a 10.1016/j.trc.2018.05.021
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856 4 _ |y Published on 2018-05-22. Available in OpenAccess from 2020-05-22.
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856 4 _ |y Published on 2018-05-22. Available in OpenAccess from 2020-05-22.
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