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Open AccessArticle

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

1
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Hainan Key Laboratory of Earth Observation, Sanya 572029, China
*
Author to whom correspondence should be addressed.
Symmetry 2017, 9(10), 239; https://doi.org/10.3390/sym9100239
Received: 15 September 2017 / Revised: 7 October 2017 / Accepted: 13 October 2017 / Published: 20 October 2017
(This article belongs to the Special Issue Fuzzy Techniques for Decision Making)
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. View Full-Text
Keywords: pedestrian dynamical behavior; crowd simulation; fuzzy logic; personality trait; multi-agent pedestrian dynamical behavior; crowd simulation; fuzzy logic; personality trait; multi-agent
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MDPI and ACS Style

Xue, Z.; Dong, Q.; Fan, X.; Jin, Q.; Jian, H.; Liu, J. Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians. Symmetry 2017, 9, 239.

AMA Style

Xue Z, Dong Q, Fan X, Jin Q, Jian H, Liu J. Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians. Symmetry. 2017; 9(10):239.

Chicago/Turabian Style

Xue, Zhuxin; Dong, Qing; Fan, Xiangtao; Jin, Qingwen; Jian, Hongdeng; Liu, Jian. 2017. "Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians" Symmetry 9, no. 10: 239.

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