Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians

Most models designed to simulate pedestrian dynamical behavior are based on the assumption that human decision-making can be described using precise values. This study proposes a new pedestrian model that incorporates fuzzy logic theory into a multi-agent system to address cognitive behavior that in...

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Bibliographic Details
Published in:Symmetry (Basel) 2017-10, Vol.9 (10), p.239
Main Authors: Xue, Zhuxin, Dong, Qing, Fan, Xiangtao, Jin, Qingwen, Jian, Hongdeng, Liu, Jian
Format: Article
Language:English
Subjects:
Cognition & reasoning
Computer simulation
crowd simulation
Decision making
Fuzzy logic
Fuzzy systems
Human behavior
multi-agent
Multiagent systems
pedestrian dynamical behavior
Pedestrians
Personality
personality trait
Personality traits
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Summary:Most models designed to simulate pedestrian dynamical behavior are based on the assumption that human decision-making can be described using precise values. This study proposes a new pedestrian model that incorporates fuzzy logic theory into a multi-agent system to address cognitive behavior that introduces uncertainty and imprecision during decision-making. We present a concept of decision preferences to represent the intrinsic control factors of decision-making. To realize the different decision preferences of heterogeneous pedestrians, the Five-Factor (OCEAN) personality model is introduced to model the psychological characteristics of individuals. Then, a fuzzy logic-based approach is adopted for mapping the relationships between the personality traits and the decision preferences. Finally, we have developed an application using our model to simulate pedestrian dynamical behavior in several normal or non-panic scenarios, including a single-exit room, a hallway with obstacles, and a narrowing passage. The effectiveness of the proposed model is validated with a user study. The results show that the proposed model can generate more reasonable and heterogeneous behavior in the simulation and indicate that individual personality has a noticeable effect on pedestrian dynamical behavior.
ISSN:2073-8994
2073-8994
DOI:10.3390/sym9100239