Anticipation in a velocity-based model for pedestrian dynamics

Bibliographic Details
Title: Anticipation in a velocity-based model for pedestrian dynamics
Authors: Xu, Qiancheng, Chraibi, Mohcine, Seyfried, Armin
Publication Year: 2021
Collection: Nonlinear Sciences
Physics (Other)
Subject Terms: Physics - Physics and Society, Nonlinear Sciences - Adaptation and Self-Organizing Systems
More Details: Lane formation in bidirectional pedestrian streams is based on a stimulus-response mechanism and strategies of navigation in a fast-changing environment. Although microscopic models that only guarantee volume exclusion can qualitatively reproduce this phenomenon, they are not sufficient for a quantitative description. To quantitatively describe this phenomenon, a minimal anticipatory collision-free velocity model is introduced. Compared to the original velocity model, the new model reduces the occurrence of gridlocks and reproduces the movement of pedestrians more realistically. For a quantitative description of the phenomenon, the definition of an order parameter is used to describe the formation of lanes at transient states and to show that the proposed model compares relatively well with experimental data. Furthermore, the model is validated by the experimental fundamental diagrams of bidirectional flows.
Document Type: Working Paper
DOI: 10.1016/j.trc.2021.103464
Access URL: http://arxiv.org/abs/2107.00624
Accession Number: edsarx.2107.00624
Database: arXiv
More Details
DOI:10.1016/j.trc.2021.103464