Published April 1, 2013 | Version v1
Journal article

The effect of perception anisotropy on particle systems describing pedestrian flows in corridors

  • 1. Department of Mathematics and Computer Science, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven (Netherlands)
  • 2. Centre for Analysis, Scientific Computing and Applications, Department of Mathematics and Computer Science and Institute for Complex Molecular Systems, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven (Netherlands)
  • 3. Theory of Polymers and Soft Matter, Department of Applied Physics, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands (Netherlands)

Description

We consider a microscopic model (a system of self-propelled particles) to study the behaviour of a large group of pedestrians walking in a corridor. Our point of interest is the effect of anisotropic interactions on the global behaviour of the crowd. The anisotropy we have in mind reflects the fact that people do not perceive (i.e. see, hear, feel or smell) their environment equally well in all directions. The dynamics of the individuals in our model follow from a system of Newton-like equations in the overdamped limit. The instantaneous velocity is modelled in such a way that it accounts for the angle at which an individual perceives another individual. We investigate the effects of this perception anisotropy by means of simulations, very much in the spirit of molecular dynamics. We define a number of characteristic quantifiers (including the polarization index and Morisita index) that serve as measures, for example, for organization and clustering, and we use these indices to investigate the influence of anisotropy on the global behaviour of the crowd. The goal of the paper is to investigate the potential of this model; extensive statistical analysis of simulation data and reproducing any specific real-life situation are beyond its scope. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-5468/2013/04/P04025

Additional details

Publishing Information

Journal Title
Journal of Statistical Mechanics
Journal Volume
2013
Journal Issue
04
Journal Page Range
[25 p.]
ISSN
1742-5468

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46011240
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ANISOTROPY; COMPUTERIZED SIMULATION; HUMAN POPULATIONS; INDEXES; MATHEMATICAL MODELS; MATHEMATICAL SOLUTIONS; MOLECULAR DYNAMICS METHOD; PARTICLES; POLARIZATION; POTENTIALS; VELOCITY
Descriptors DEC
CALCULATION METHODS; DOCUMENT TYPES; POPULATIONS; SIMULATION