DocumentCode :
2753981
Title :
Fuzzy simulation of pedestrian walking path considering local environmental stimuli
Author :
Nasir, Mojdeh ; Nahavandi, Saeid ; Creighton, Douglas
Author_Institution :
Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
behavioural sciences; decision making; fuzzy set theory; pedestrians; fuzzy concept; fuzzy logic approach; fuzzy simulation; local environmental stimuli; office corridor; pedestrian steering activity; pedestrian walking path; pedestrian wayfinding behaviour; perceived attractive stimuli; perception-based decision making process; psychological characteristics; repulsive stimuli; social force method; trip intention; walking activities; Computational modeling; Decision making; Force; Fuzzy logic; Fuzzy systems; Legged locomotion; Navigation; environmental stimuli; fuzzy logic; pedestrian walking path; pedestrian-environment interaction; steering behaviour;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
ISSN :
1098-7584
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2012.6251245
Filename :
6251245
Link To Document :
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