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https://hdl.handle.net/10356/87149
Title: | Fuzzy cellular automata models for crowd movement dynamics at signalized pedestrian crossings | Authors: | Chai, Chen Wong, Yiik Diew Er, Meng Joo Gwee, Evan Tat Meng |
Keywords: | Cellular Automata Dynamics |
Issue Date: | 2015 | Source: | Chai, C., Wong, Y. D., Er, M. J., & Gwee, E. T. M. (2015). Fuzzy cellular automata models for crowd movement dynamics at signalized pedestrian crossings. Transportation Research Record, 2490, 21-31. | Series/Report no.: | Transportation Research Record | Abstract: | Crowd movement dynamics at a signalized pedestrian crossing constitutes a complex system affected by many factors. Existing crowd simulation models seldom consider cognition and decision making of individual pedestrians. In this study, a fuzzy cellular automata (FCA) model was developed to simulate pedestrian movements at crowded signalized pedestrian crossings that incorporated pedestrian decision-making processes. The proposed FCA model incorporated fuzzy logic into a conventional cellular automata (CA) model. In contrast to existing models and applications, the proposed FCA model used fuzzy sets and membership functions to simulate individuals’ decision making process. Four fuzzy sets were applied for each decision: stop or go (stop–go) decision, moving direction, velocity change, and congregation. Membership functions of each input factor as well as weight factors of each fuzzy set at different movement zones were calibrated on the basis of field observations. Model performance was assessed by comparisons of trajectories between estimation and observation, interactions with conflicting vehicles and pedestrians, and congregation phenomena. Through a simulation experiment and comparison with existing approaches, simulation results show that the FCA model can well replicate crowd movement dynamics in real-world pedestrian crossings. | URI: | https://hdl.handle.net/10356/87149 http://hdl.handle.net/10220/45227 |
ISSN: | 0361-1981 | DOI: | 10.3141/2490-03 | Schools: | School of Civil and Environmental Engineering School of Electrical and Electronic Engineering |
Research Centres: | Centre for Infrastructure Systems | Rights: | © 2015 National Academy of Sciences. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
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