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| Home > Publications database > Modeling pedestrian single-file movement: Extending the interaction to the follower |
| Journal Article | FZJ-2023-04787 |
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2024
North Holland Publ. Co.
Amsterdam
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Please use a persistent id in citations: doi:10.1016/j.physa.2023.129394 doi:10.34734/FZJ-2023-04787
Abstract: This article proposes a new microscopic speed model for one-dimensional pedestrian movement. Most existing modeling approaches consider only the distance and relative speed between a pedestrian and the person in front resulting in totally asymmetric interaction models. However, the distance with the pedestrian behind may also influence the behavior of a pedestrian. Based on this assumption, we elaborate a new asymmetric microscopic model considering the relative distances with the nearest neighbors behind and ahead using a fine-tuning asymmetry parameter. We analyze the stability of the new model and calibrate the parameters using two different single-file movement datasets. The numerical simulation results show that the new model has fewer backward movements and pedestrian overlaps than the totally asymmetric model making the stop-and-go waves in crowded situations more realistic. Furthermore, the proposed fine-tuned model better describes the fundamental diagram and its scattering.
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