Modeling pedestrian single-file movement: Extending the interaction to the follower

Rudina Subaih and Antoine Tordeux

Physica A: Statistical Mechanics and its Applications, 2024, vol. 633, issue C

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.

Keywords: Pedestrian dynamics; Single-file movement; Microscopic model; Least squares parameter estimate; Fundamental diagram; Stop-and-go waves (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:633:y:2024:i:c:s0378437123009494

DOI: 10.1016/j.physa.2023.129394

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