Fuzzy simulation of pedestrian walking path considering local environmental stimuli

Nasir, Mojdeh, Nahavandi, Saeid and Creighton, Douglas 2012, Fuzzy simulation of pedestrian walking path considering local environmental stimuli, in FUZZ-IEEE 2012 : Proceedings of the IEEE 2012 International Conference on Fuzzy Systems, IEEE Computer Society, Los Alamitos, Calif., pp. 1311-1316, doi: 10.1109/FUZZ-IEEE.2012.6251245.

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Title Fuzzy simulation of pedestrian walking path considering local environmental stimuli
Author(s) Nasir, Mojdeh
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Conference name International Conference on Fuzzy Systems (2012 : Brisbane, Qld.)
Conference location Brisbane, Qld.
Conference dates 10-15 Jun. 2012
Title of proceedings FUZZ-IEEE 2012 : Proceedings of the IEEE 2012 International Conference on Fuzzy Systems
Editor(s) [Unknown]
Publication date 2012
Conference series International Conference on Fuzzy Systems
Start page 1311
End page 1316
Total pages 6
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Keyword(s) environmental stimuli
fuzzy logic
pedestrian walking path
pedestrian-environment interaction
steering behaviour
Summary Pedestrian steering activity is a perception-based decision making process that involves interaction with the surrounding environment and insight into environmental stimuli. There are many stimuli within the environment that influence pedestrian wayfinding behaviour during walking activities. However, compelling factors such as individual physical and psychological characteristics and trip intention cause the behaviour become a very fuzzy concept. In this paper pedestrian steering behaviour is modelled using a fuzzy logic approach. The objective of this research is to simulate pedestrian walking paths in indoor public environments during normal and non-panic situations. The proposed algorithm introduces a fuzzy logic framework to predict the impact of perceived attractive and repulsive stimuli, within the pedestrian's field of view, on movement direction. Environmental stimuli are quantified using the social force method. The algorithm is implemented in a simulated area of an office corridor consist of a printer and exit door. Stochastic simulation using the proposed fuzzy algorithm generated realistic walking trajectories, contour map of dynamic change of environmental effects in each step of movement and high flow areas in the corridor.
ISBN 1467315079
ISSN 1098-7584
Language eng
DOI 10.1109/FUZZ-IEEE.2012.6251245
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049239

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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