Literature DB >> 12786235

Friction effects and clogging in a cellular automaton model for pedestrian dynamics.

Ansgar Kirchner1, Katsuhiro Nishinari, Andreas Schadschneider.   

Abstract

We investigate the role of conflicts in pedestrian traffic, i.e., situations where two or more people try to enter the same space. Therefore a recently introduced cellular automaton model for pedestrian dynamics is extended by a friction parameter mu. This parameter controls the probability that the movement of all particles involved in a conflict is denied at one time step. It is shown that these conflicts are not an undesirable artifact of the parallel update scheme, but are important for a correct description of the dynamics. The friction parameter mu can be interpreted as a kind of an internal local pressure between the pedestrians which becomes important in regions of high density, occurring, e.g., in panic situations. We present simulations of the evacuation of a large room with one door. It is found that friction has not only quantitative effects, but can also lead to qualitative changes, e.g., of the dependence of the evacuation time on the system parameters. We also observe similarities to the flow of granular materials, e.g., arching effects.

Entities:  

Year:  2003        PMID: 12786235     DOI: 10.1103/PhysRevE.67.056122

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 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.  Efficient egress of escaping ants stressed with temperature.

Authors:  Santiago Boari; Roxana Josens; Daniel R Parisi
Journal:  PLoS One       Date:  2013-11-29       Impact factor: 3.240

3.  Risk-Aware Resource Management in Public Safety Networks.

Authors:  Panagiotis Vamvakas; Eirini Eleni Tsiropoulou; Symeon Papavassiliou
Journal:  Sensors (Basel)       Date:  2019-09-06       Impact factor: 3.576

4.  Estimating density limits for walking pedestrians keeping a safe interpersonal distancing.

Authors:  I Echeverría-Huarte; A Garcimartín; R C Hidalgo; C Martín-Gómez; I Zuriguel
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

5.  A system for efficient egress scheduling during mass events and small-scale experimental demonstration.

Authors:  Hisashi Murakami; Claudio Feliciani; Kenichiro Shimura; Katsuhiro Nishinari
Journal:  R Soc Open Sci       Date:  2020-12-09       Impact factor: 2.963

6.  Measuring Dynamics in Evacuation Behaviour with Deep Learning.

Authors:  Huaidian Hou; Lingxiao Wang
Journal:  Entropy (Basel)       Date:  2022-01-27       Impact factor: 2.524

7.  The interaction between map complexity and crowd movement on navigation decisions in virtual reality.

Authors:  Hantao Zhao; Tyler Thrash; Armin Grossrieder; Mubbasir Kapadia; Mehdi Moussaïd; Christoph Hölscher; Victor R Schinazi
Journal:  R Soc Open Sci       Date:  2020-03-25       Impact factor: 2.963

  7 in total

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