Research on Fire Evacuation in University Libraries Based on the Fuzzy Ant Colony Optimization Algorithm

To study the impact of the psychological and behavioral characteristics of people, fire environment, and evacuation routes on fire evacuation efficiency, this study focuses on a university library as the research subject. A fuzzy logic algorithm is employed to analyze how psychological and behaviora...

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Published inFire (Basel, Switzerland) Vol. 8; no. 8; p. 329
Main Authors Lei, Ming, Huang, Mengke, Wang, Dandan, Zhang, Wei, Cheng, Sixiang, Dong, Wenhui
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2025
Subjects
Academic libraries
Algorithms
ant colony algorithm
Ant colony optimization
Behavior
China
Efficiency
Evacuation
Evacuation of civilians
Evacuation routing
fire evacuation
Fire prevention
fuzzy algorithm
Fuzzy logic
Fuzzy sets
Gas temperature
Influence
Injuries
Integer programming
Mathematical optimization
Methods
numerical simulation
Optimization algorithms
Optimization techniques
Pheromones
Planning
Route optimization
Safety and security measures
Safety management
University and college libraries
university library
China
Online AccessGet full text
ISSN2571-6255
2571-6255
DOI10.3390/fire8080329

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Abstract To study the impact of the psychological and behavioral characteristics of people, fire environment, and evacuation routes on fire evacuation efficiency, this study focuses on a university library as the research subject. A fuzzy logic algorithm is employed to analyze how psychological and behavioral traits influence initial evacuation speed during a fire. Also, fire data simulated using PyroSim software is integrated, with gas temperature, CO concentration, and visibility quantified through empirical formulas to adjust the reduction factor of evacuation speed, examining the effects of fire-generated products on evacuation performance. By incorporating fire environment factors into the heuristic function and refining pheromone update rules through iterative strategies, the ant colony algorithm is enhanced to achieve path planning. Results show that the psychological–environmental-route correction method improves evacuation efficiency by 16.2% compared to traditional methods without correction. This demonstrates that the proposed correction method can improve the efficiency of building fire evacuation and provides theoretical support and technical solutions for future library fire safety management.
AbstractList To study the impact of the psychological and behavioral characteristics of people, fire environment, and evacuation routes on fire evacuation efficiency, this study focuses on a university library as the research subject. A fuzzy logic algorithm is employed to analyze how psychological and behavioral traits influence initial evacuation speed during a fire. Also, fire data simulated using PyroSim software is integrated, with gas temperature, CO concentration, and visibility quantified through empirical formulas to adjust the reduction factor of evacuation speed, examining the effects of fire-generated products on evacuation performance. By incorporating fire environment factors into the heuristic function and refining pheromone update rules through iterative strategies, the ant colony algorithm is enhanced to achieve path planning. Results show that the psychological–environmental-route correction method improves evacuation efficiency by 16.2% compared to traditional methods without correction. This demonstrates that the proposed correction method can improve the efficiency of building fire evacuation and provides theoretical support and technical solutions for future library fire safety management.
Audience Academic
Author Huang, Mengke
Dong, Wenhui
Cheng, Sixiang
Wang, Dandan
Lei, Ming
Zhang, Wei
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StartPage 329
SubjectTerms Academic libraries
Algorithms
ant colony algorithm
Ant colony optimization
Behavior
China
Efficiency
Evacuation
Evacuation of civilians
Evacuation routing
fire evacuation
Fire prevention
fuzzy algorithm
Fuzzy logic
Fuzzy sets
Gas temperature
Influence
Injuries
Integer programming
Mathematical optimization
Methods
numerical simulation
Optimization algorithms
Optimization techniques
Pheromones
Planning
Route optimization
Safety and security measures
Safety management
University and college libraries
university library
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Title Research on Fire Evacuation in University Libraries Based on the Fuzzy Ant Colony Optimization Algorithm
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https://doi.org/10.3390/fire8080329
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