Skip to content
DraconiticResearch
Search Sources API
201,642 studies31 sourcesUpdated 17 min ago
PreprintarXiv licencearXiv

Towards modelling abreast to in-file transitions in small pedestrian groups

Abstract

Pedestrians in a crowd largely walk in small groups, dyads above all, and modelling how these groups arrange themselves is a step towards realistic models of the crowd as a whole. A dyad walks side by side in a dilute crowd and one behind the other in a dense one, an abreast to in-file transition recently measured in real life across the full range of naturally occurring crowd conditions (van der Laan and Corbetta, PLOS ONE 2026). The cost-function models of dyad formation by Zanlungo and coworkers (Phys. Rev. E 2014; EPL 2015) hold the pair abreast and have no in-file minimum at any finite density. Building on them, we propose and analyse a qualitative model in which the transition appears as an effective density parameter grows: the two formations become minima that coexist over a window of densities and exchange stability within it. We quantify this transition by computing the Orientation Log-Odds ΠOLO as predicted by the model. This paper is a first step towards quantitative models of dyads and of their formation transitions.

Related

  1. Adjusting for Social Groups in Spatial Point Process Models for Waiting Pedestrian Configurations
    Lars Sickert Karam, Rui M. Castro, Maarten Schoukens +1
    arXivPreprintarXiv licenceFull textStatisticsStatistical & nonlinear physicsarXiv
  2. Proliferation Transitions for Quantum Doubles of Groups
    Yuhan Gai, Sakura Schafer-Nameki
    arXivPreprintCC BY 4.0Full textAlgebra & number theoryCondensed matterarXiv
  3. Almost invariant subspaces in the topologically non-trivial setting: a pedestrian approach
    Horia Cornean, Gabriele Peluso, Mikkel Hviid Thorn
    arXivPreprintarXiv licenceFull textMathematical physicsCondensed matterarXiv
  4. REST: Routing with En-route Seating Thresholds for pedestrian accessibility
    Nir Fulman, Himshikhar Mazumdar
    arXivPreprintCC BY 4.0Full textStatistical & nonlinear physicsarXiv
  5. Randomly twisted bilayer graphene: Cascade transitions
    Baruch Horovitz, Pierre Le Doussal
    Physical Review BPeer-reviewedLicence not statedFull textCondensed matterHAL
BibTeX
@misc{corbetta2026towards,
  title = {{Towards modelling abreast to in-file transitions in small pedestrian groups}},
  author = {Alessandro Corbetta and Chiel van der Laan and Francesco Zanlungo},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.16400},
  eprint = {2610.16400},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.16400},
}
RIS
TY  - UNPB
TI  - Towards modelling abreast to in-file transitions in small pedestrian groups
AU  - Alessandro Corbetta
AU  - Chiel van der Laan
AU  - Francesco Zanlungo
PY  - 2026
DA  - 2026/10/12
PB  - arXiv
DO  - 10.48550/arxiv.2610.16400
UR  - https://arxiv.org/abs/2610.16400
AB  - Pedestrians in a crowd largely walk in small groups, dyads above all, and modelling how these groups arrange themselves is a step towards realistic models of the crowd as a whole. A dyad walks side by side in a dilute crowd and one behind the other in a dense one, an abreast to in-file transition recently measured in real life across the full range of naturally occurring crowd conditions (van der Laan and Corbetta, PLOS ONE 2026). The cost-function models of dyad formation by Zanlungo and coworkers (Phys. Rev. E 2014; EPL 2015) hold the pair abreast and have no in-file minimum at any finite density. Building on them, we propose and analyse a qualitative model in which the transition appears as an effective density parameter grows: the two formations become minima that coexist over a window of densities and exchange stability within it. We quantify this transition by computing the Orientation Log-Odds Π_OLO as predicted by the model. This paper is a first step towards quantitative models of dyads and of their formation transitions.
ER  -