Improving flocking behaviors in street networks with vision
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908381899390976 |
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| author | Moinard, Guillaume Latapy, Matthieu |
| author_facet | Moinard, Guillaume Latapy, Matthieu |
| contents | We improve a flocking model on street networks introduced in a previous paper. We expand the field of vision of walkers, making the model more realistic. Under such conditions, we obtain groups of walkers whose gathering times and robustness to break ups are better than previous results. We explain such improvements because the alignment rule with vision guaranties walkers do not split into divergent directions at intersections anymore, and because the attraction rule with vision gathers distant groups. This paves the way to a better understanding of events where walkers have collective decentralized goals, like protests. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_21585 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improving flocking behaviors in street networks with vision Moinard, Guillaume Latapy, Matthieu Physics and Society Multiagent Systems Social and Information Networks We improve a flocking model on street networks introduced in a previous paper. We expand the field of vision of walkers, making the model more realistic. Under such conditions, we obtain groups of walkers whose gathering times and robustness to break ups are better than previous results. We explain such improvements because the alignment rule with vision guaranties walkers do not split into divergent directions at intersections anymore, and because the attraction rule with vision gathers distant groups. This paves the way to a better understanding of events where walkers have collective decentralized goals, like protests. |
| title | Improving flocking behaviors in street networks with vision |
| topic | Physics and Society Multiagent Systems Social and Information Networks |
| url | https://arxiv.org/abs/2505.21585 |