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/P04025Additional details
Identifiers
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