A microscopic pedestrian-simulation model and its application to intersecting flows

Ren Yong Guo, S. C. Wong, Hai Jun Huang, Peng Zhang, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

65 Citations (Scopus)


We develop a microscopic pedestrian-simulation model in which pedestrian positions are updated at discrete time steps. At each time step, each pedestrian probabilistically selects a direction of movement from a predetermined set according to a logit-type function that considers the dynamics of other pedestrians around, and then selects a step size that satisfies a certain distribution. We perform a number of field experiments on real intersecting pedestrian flows with four different angles. We then validate and calibrate the model using sample data on the deviation angles, step velocities, and velocity-density relations obtained from the experiments.
Original languageEnglish
Pages (from-to)515-526
Number of pages12
JournalPhysica A: Statistical Mechanics and its Applications
Issue number3
Publication statusPublished - 1 Feb 2010


  • Intersecting flows
  • Model validation and calibration
  • Pedestrian experiment
  • Pedestrian simulation

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics


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