A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room

Fu, Libi; Song, Weiguo; Lo, Siuming

doi:10.1016/j.physleta.2016.06.011

Cited by 48 publications

(26 citation statements)

References 54 publications

(65 reference statements)

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“…Many original evacuation models are always according to a simple assumption that occupants are familiar with the route they are following and thus neglect way‐finding information . This may be suitable for a simple layout of building . Nevertheless, in reality, occupants are likely to interact with signage systems and follow the sign information.…”

Section: Introductionmentioning

confidence: 99%

The influence of emergency signage on building evacuation behavior: An experimental study

Cao

Song

et al. 2018

Fire and Materials

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Summary Emergency signage is important for safe escape when unexpected events (such as fires) occur. However, there are limited data on the difference in the effect of emergency signage on way finding processes between individual and group conditions. This paper aims to reveal how participants alone or in groups detect and accept the information conveyed by a signage system through an experiment in buildings. One hundred nineteen volunteers participated in the experiment, which included individual and group evacuation conditions. There were six decision points along the movement path where participants could select egress routes according to signage. Posttrial questionnaires and video recordings were used to derive the number of participants whose route choice was according to signage and to derive the decision time. Results demonstrate that both signage detection and acceptance probabilities under individual conditions are larger than those under group situations, because of social influence in groups. High‐placed signs have a positive effect on route choice, especially under individual conditions. Decision time for participants whose decisions are principally according to signs is not always smaller than that for participants whose decisions are not according to signs, eg, in group situations. These findings have implications for group evacuation modeling and signage design in buildings.

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Section: Introductionmentioning

confidence: 99%

The influence of emergency signage on building evacuation behavior: An experimental study

Cao

Song

et al. 2018

Fire and Materials

Self Cite

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“…Nasir et al [22] proposed a genetic fuzzy system to model and simulate a pedestrian's steering behavior in a built environment. Fu et al [23] proposed a fuzzy theory-based behavioral model to investigate evacuation dynamics in a cellular space. Zhou et al [24] proposed a fuzzy logic approach for simulating pedestrian dynamical behavior, and it integrates the intermediate results of local obstacle-avoiding behavior, regional path-searching behavior and global goal-seek behavior with mutable weighting factors.…”

Section: Related Workmentioning

confidence: 99%

“…Because of the advantages of accessible input perception-based information and easily steerable output, fuzzy logic-based methods have achieved great progress in the modelling of pedestrian dynamics. To the best of our knowledge, most studies using fuzzy logic have focused on the human ability to perceive their surrounding environments [18][19][20][21][22][23][24] and ignored decision-making processes that are vague and imprecise. Compared with previous works, we propose an approach to emulate pedestrian cognitive ability from a new perspective that uses the fuzzy logic system to model subjective decisions.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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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.

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“…Gao et al [44] adopted the Logit method to determine the route by taking the distance factor and density factor into consideration. Liu et al [45] and Fu et al [46] also pointed out that the distance and density were two important factors to determine the selection of exit. However, the above mentioned methods for exit selection relied heavily on environmental information, and had high requirements on the accuracy of the distance and density information used.…”

mentioning

confidence: 99%

“…Actually, the fuzzy logic method has been widely used in the field of crowd dynamics. Fu et al [46] used fuzzy logic method to solve the pedestrian position conflict based on the pedestrian's physical state and familiarity with the environment. Zhou et al [47] proposed a pedestrian movement model based on fuzzy logic method.…”

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confidence: 99%

A Fuzzy-Theory-Based Cellular Automata Model for Pedestrian Evacuation From a Multiple-Exit Room

et al. 2020

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The exit selection behavior of pedestrians plays an important part in the process of evacuation. This paper proposes a cellular automata model based on fuzzy logic method for simulating the evacuation of pedestrians from a multiple-exit room. When pedestrians select the exit, the distance and density are adopted as two important input variables in the fuzzy logic method, and the probability of selecting each exit is defined as the output variable of fuzzy logic method. The output variable of fuzzy logic, exit width and herding behavior are combined to determine the target exit. The competitiveness of each pedestrian is calculated by logit model to solve the position conflicts among pedestrians. The validation of the model is demonstrated by comparing the simulation data with the real data. The effects of attributes of pedestrians, exits and obstacles on evacuation are studied in simulations. Results show that large public facilities should control the inflows of pedestrians, and the reasonable increase of the exit quantity and exit width are effective for improving the evacuation efficiency. In the design of buildings, obstacles need to be designed reasonably, which should not be too large or too small. At the same time, obstacles should be kept at a certain distance from the exit, so as to ease the exit congestion and improve the evacuation efficiency. This paper takes the advantages of fuzzy logic method to solve the exit selection problem, which can effectively integrate the robustness with physiological-based "perception-action" behavior, the experience knowledge of pedestrians and the perception information of the surrounding environment into the decision-making process. INDEX TERMS Cellular automata model, exit selection, fuzzy logic method, logit model, pedestrian evacuation I. INTRODUCTION

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A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room

Cited by 48 publications

References 54 publications

The influence of emergency signage on building evacuation behavior: An experimental study

The influence of emergency signage on building evacuation behavior: An experimental study

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

A Fuzzy-Theory-Based Cellular Automata Model for Pedestrian Evacuation From a Multiple-Exit Room

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