Conflict Avoidance in Pedestrian Merging in Controlled Experiments by Variance Indicator
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866910061942538240 |
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| author | Zhang, Jiawei Jia, Xiaolu Tanida, Sakurako Feliciani, Claudio Yanagisawa, Daichi Nishinari, Katsuhiro |
| author_facet | Zhang, Jiawei Jia, Xiaolu Tanida, Sakurako Feliciani, Claudio Yanagisawa, Daichi Nishinari, Katsuhiro |
| contents | Pedestrian congestion at corridor intersections often originates from localized fluctuations in motion rather than from a macroscopic collapse of flow. Understanding pedestrian instability at corridor intersections remains challenging because existing studies mainly rely on density, average speed, or flow-based measures and limited datasets, making it difficult to separate geometric turning effects from interaction induced fluctuations in merging flows. In particular, the mechanism underlying the turning angle dependence in T junctions has not been resolved. Here, we analyze more than 300 controlled experiments conducted in L corridors with turning only and T corridors with turning and merging. Using Voronoi-based speed variance $V_s$ and velocity variance $V_v$, we systematically compare geometric and interaction effects. $V_s$ effectively captures interaction driven instability, while $V_v$ reflects directional adjustments due to geometry. The comparison reveals distinct fluctuation mechanisms and identifies a critical transition near $90°$, demonstrating the advantage of variance-based indicators for diagnosing pedestrian dynamics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_20593 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Conflict Avoidance in Pedestrian Merging in Controlled Experiments by Variance Indicator Zhang, Jiawei Jia, Xiaolu Tanida, Sakurako Feliciani, Claudio Yanagisawa, Daichi Nishinari, Katsuhiro Physics and Society Statistical Mechanics Pedestrian congestion at corridor intersections often originates from localized fluctuations in motion rather than from a macroscopic collapse of flow. Understanding pedestrian instability at corridor intersections remains challenging because existing studies mainly rely on density, average speed, or flow-based measures and limited datasets, making it difficult to separate geometric turning effects from interaction induced fluctuations in merging flows. In particular, the mechanism underlying the turning angle dependence in T junctions has not been resolved. Here, we analyze more than 300 controlled experiments conducted in L corridors with turning only and T corridors with turning and merging. Using Voronoi-based speed variance $V_s$ and velocity variance $V_v$, we systematically compare geometric and interaction effects. $V_s$ effectively captures interaction driven instability, while $V_v$ reflects directional adjustments due to geometry. The comparison reveals distinct fluctuation mechanisms and identifies a critical transition near $90°$, demonstrating the advantage of variance-based indicators for diagnosing pedestrian dynamics. |
| title | Conflict Avoidance in Pedestrian Merging in Controlled Experiments by Variance Indicator |
| topic | Physics and Society Statistical Mechanics |
| url | https://arxiv.org/abs/2603.20593 |