Literature DB >> 27739694

Empirical analysis of the lane formation process in bidirectional pedestrian flow.

Claudio Feliciani1, Katsuhiro Nishinari2,3.   

Abstract

This paper presents an experimental study on pedestrian bidirectional streams and the mechanisms leading to spontaneous lane formation by examining the flow formed by two groups of people walking toward each other in a mock corridor. Flow ratio is changed by changing each group size while maintaining comparable total flow and density. By tracking the trajectories of each pedestrian and analyzing the data obtained, five different phases were recognized as contributing to the transition from unidirectional to bidirectional flow including the spontaneous creation and dissolution of lanes. It has been shown that a statistical treatment is required to understand the fundamental characteristics of pedestrian dynamics and some two-dimensional quantities such as order parameter and rotation range were introduced to allow a more complete analysis. All the quantities observed showed a clear relationship with flow ratio and helped distinguishing between the different characteristic phases of the experiment. Results show that balanced bidirectional flow becomes the most stable configuration after lanes are formed, but the lane creation process requires pedestrians to laterally move to a largest extent compared to low flow-ratio configurations. This finding allows us to understand the reasons why balanced bidirectional flow is efficient at low densities, but quickly leads to deadlock formation at high densities.

Entities:  

Year:  2016        PMID: 27739694     DOI: 10.1103/PhysRevE.94.032304

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  6 in total

1.  Lévy walk process in self-organization of pedestrian crowds.

Authors:  Hisashi Murakami; Claudio Feliciani; Katsuhiro Nishinari
Journal:  J R Soc Interface       Date:  2019-04-26       Impact factor: 4.118

2.  General scaling in bidirectional flows of self-avoiding agents.

Authors:  Javier Cristín; Vicenç Méndez; Daniel Campos
Journal:  Sci Rep       Date:  2019-12-06       Impact factor: 4.379

3.  Analysis of emergent patterns in crossing flows of pedestrians reveals an invariant of 'stripe' formation in human data.

Authors:  Pratik Mullick; Sylvain Fontaine; Cécile Appert-Rolland; Anne-Hélène Olivier; William H Warren; Julien Pettré
Journal:  PLoS Comput Biol       Date:  2022-06-09       Impact factor: 4.779

4.  Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation.

Authors:  P Aceves-Sanchez; P Degond; E E Keaveny; A Manhart; S Merino-Aceituno; D Peurichard
Journal:  Bull Math Biol       Date:  2020-09-25       Impact factor: 1.758

5.  A universal function for capacity of bidirectional pedestrian streams: Filling the gaps in the literature.

Authors:  Claudio Feliciani; Hisashi Murakami; Katsuhiro Nishinari
Journal:  PLoS One       Date:  2018-12-19       Impact factor: 3.240

6.  Mutual anticipation can contribute to self-organization in human crowds.

Authors:  Hisashi Murakami; Claudio Feliciani; Yuta Nishiyama; Katsuhiro Nishinari
Journal:  Sci Adv       Date:  2021-03-17       Impact factor: 14.136

  6 in total

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