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: North-Holland
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
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

39
Last Week
0
Last month
0
Citations as of Apr 20, 2018

WEB OF SCIENCETM
Citations

35
Last Week
0
Last month
0
Citations as of Apr 23, 2018

Page view(s)

58
Last Week
3
Last month
Citations as of Apr 23, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.