Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14438
Title: A microscopic pedestrian-simulation model and its application to intersecting flows
Authors: Guo, RY
Wong, SC
Huang, HJ
Zhang, P
Lam, WHK 
Keywords: Intersecting flows
Model validation and calibration
Pedestrian experiment
Pedestrian simulation
Issue Date: 2010
Publisher: Elsevier
Source: Physica A. Statistical mechanics and its applications, 2010, v. 389, no. 3, p. 515-526 How to cite?
Journal: Physica A. Statistical mechanics and its applications 
Abstract: 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.
URI: http://hdl.handle.net/10397/14438
ISSN: 0378-4371
EISSN: 1873-2119
DOI: 10.1016/j.physa.2009.10.008
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