Coarse-grained particle model for pedestrian flow using diffusion maps

Christian Marschler, Jens Starke, Ping Liu, Ioannis G. Kevrekidis

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Interacting particle systems constitute the dynamic model of choice in a variety of application areas. A prominent example is pedestrian dynamics, where good design of escape routes for large buildings and public areas can improve evacuation in emergency situations, avoiding exit blocking and the ensuing panic. Here we employ diffusion maps to study the coarse-grained dynamics of two pedestrian crowds trying to pass through a door from opposite sides. These macroscopic variables and the associated smooth embeddings lead to a better description and a clearer understanding of the nature of the transition to oscillatory dynamics. We also compare the results to those obtained through intuitively chosen macroscopic variables.

Original languageEnglish (US)
Article number013304
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Issue number1
StatePublished - Jan 14 2014

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Statistics and Probability


Dive into the research topics of 'Coarse-grained particle model for pedestrian flow using diffusion maps'. Together they form a unique fingerprint.

Cite this