A Multi-Agent and PSO Based Simulation for Human Behavior in Emergency Evacuation

2007 ◽  
Author(s):  
Yang Bo ◽  
Wang Cheng ◽  
Huang Hua ◽  
Li Lijun
Keyword(s):  
Human Behavior ◽  
Emergency Evacuation ◽  
Multi Agent

scholarly journals AGENT-BASED CROWD SIMULATION CONSIDERING EMOTION CONTAGION FOR EMERGENCY EVACUATION PROBLEM

2015 ◽  
Vol XL-1-W5 ◽  
pp. 193-196 ◽  
Author(s):  
H. Faroqi ◽  
M.-S. Mesgari
Keyword(s):  
Emergency Situation ◽  
Emergency Evacuation ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Emergency Evacuations ◽  
R Language ◽  
Simulated Model ◽  
Agent Simulation ◽  
Adults And Children ◽  
Multi Agent

During emergencies, emotions greatly affect human behaviour. For more realistic multi-agent systems in simulations of emergency evacuations, it is important to incorporate emotions and their effects on the agents. In few words, emotional contagion is a process in which a person or group influences the emotions or behavior of another person or group through the conscious or unconscious induction of emotion states and behavioral attitudes. In this study, we simulate an emergency situation in an open square area with three exits considering Adults and Children agents with different behavior. Also, Security agents are considered in order to guide Adults and Children for finding the exits and be calm. Six levels of emotion levels are considered for each agent in different scenarios and situations. The agent-based simulated model initialize with the random scattering of agent populations and then when an alarm occurs, each agent react to the situation based on its and neighbors current circumstances. The main goal of each agent is firstly to find the exit, and then help other agents to find their ways. Numbers of exited agents along with their emotion levels and damaged agents are compared in different scenarios with different initialization in order to evaluate the achieved results of the simulated model. NetLogo 5.2 is used as the multi-agent simulation framework with R language as the developing language.

scholarly journals Integration of Microclimate into the Multi-Agent System Simulation in Urban Public Space

Smart Cities ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 421-432
Author(s):  
Xu ◽  
Tong ◽  
Xu
Keyword(s):  
Public Space ◽  
Human Behavior ◽  
Influence Factors ◽  
Multi Agent System ◽  
Thermal Perception ◽  
Agent System ◽  
Winter Solstice ◽  
Urban Public Space ◽  
Outdoor Spaces ◽  
Multi Agent

Urban public space is the main place for human outdoor activities. Simulating human behavior through the Multi-Agent System (MAS) is one of the most important methods for studying public space. However, most of the research on this topic is concerned with the way people behave and the connection to spatial layouts. It ignores the fact that in outdoor spaces, microclimate factors tend to have a more important impact on human behavior. In this study, microclimate factors were narrowed down into two main factors: outdoor thermal perception and sunshine perception. Both of these factors are integrated into the traditional MAS, together with visual perception as the influence factors of agent action. The new MAS was developed in Processing language and can dynamically and visually show agents activities in the space. Taking Gulou Square in Nanjing, China, as a case, the simulations were carried out with three typical meteorological days of spring equinox, summer solstice, and winter solstice. Through comparing the simulation results at different times, we found that the new MAS exhibits a significant impact of microclimate on human behavior. The new MAS can be used reasonably and effectively for the design and evaluation of urban public space.

scholarly journals Adaptive Kinetic Architecture and Collective Behavior: A Dynamic Analysis for Emergency Evacuation

Buildings ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 44
Author(s):  
Angella Johnson ◽  
Size Zheng ◽  
Aiichiro Nakano ◽  
Goetz Schierle ◽  
Joon-Ho Choi
Keyword(s):  
Mathematical Modeling ◽  
Human Behavior ◽  
Collective Behavior ◽  
Architectural Design ◽  
Emergency Evacuation ◽  
Crowd Modeling ◽  
Geometric Configurations ◽  
Discrete Molecular Dynamics ◽  
Kinetic Architecture ◽  
Scientists And Engineers

Adaptive kinetic architecture has emerged from a need for innovative designs that adapt to the environment and changing needs of the occupants. Architectural design and modes of egress are critical in an emergency. Flocking describes a certain collective behavior where agents are brought together in groups and move as a cohesive unit from place to place. Collective behavior may be observed in microscopic as well as macroscopic environments. Crowd modeling incorporates the study of human behavior, mathematical modeling, and molecular or fluid dynamics. The simulation of agents and their movement in the built environment is beneficial for design professionals, scientists, and engineers. Human behavior in panic situations is notably similar to fluids and molecules. The objective of this research was to evaluate the movement of agents in buildings using discrete dynamic simulation. We used a novel discrete molecular dynamics technique to simulate the evacuation of agents in panic situations. Various adaptive geometric configurations were analyzed for improved crowd flow. Kinetic walls were modeled in order to evaluate design optimization as it relates to rates of egression. This research proposes the use of kinetic walls to improve safety and efficiency during an emergency evacuation. Adaptive geometric configurations show improvements over the conventional design framework.

Multi-Agent Simulation of Emergency Evacuation on the Sidewalk

2012 ◽  
Vol 253-255 ◽  
pp. 2005-2008
Author(s):  
Peng Chen ◽  
Shun Ying Zhu ◽  
Liang Jie Xu ◽  
Xiao Feng Ma ◽  
Zhi Gang Du
Keyword(s):  
Emergency Evacuation ◽  
Agent Based ◽  
Proposed Model ◽  
Agent Simulation ◽  
Multi Agent ◽  
Bus Station ◽  
Evacuee Behavior ◽  
Walking Time ◽  
Statistical Area

Transportation evacuation study has become a research focus in recent years. This paper deals with emergency evacuation on the sidewalk using agent-based simulation. The current study develops a traffic simulator within NetLogo, an agent-based environment. Two sub-models are proposed including facility sub-model to describe global path planning of evacuee and evacuee sub-model to describe the evacuee behavior. We conducted simulations to investigate the effect of generation position of evacuees and the proportion of choosing bus on evacuation through a case study. Simulation results indicate that the proposed model can well address the interaction among evacuees with different evacuation modes, and if evacuees choosing bus evacuate near bus station and evacuees choosing walk evacuate away from bus station, then average walking time of evacuees and maximum density in statistical area are relatively small.

Modelling of the Human Behavior in Evacuation

2014 ◽  
Vol 580-583 ◽  
pp. 2663-2666
Author(s):  
Lan Wei ◽  
Chao Yang Zhao ◽  
Wei Feng Yuan
Keyword(s):  
Cellular Automaton ◽  
Human Behavior ◽  
Fire Safety ◽  
Numerical Test ◽  
Emergency Evacuation ◽  
Promising Tool ◽  
Safety Design ◽  
Ca Model ◽  
Fire Safety Design ◽  
In Fire

Emergency evacuation is an important issue in fire safety. In this study, a cellular automaton (CA) model in which the human behaviour termed ‘flow with the stream’ is considered is proposed to simulate the procedure of emergency evacuation. Based on the CA model, the influence of the number of guiders to the evacuation from a large compartment is analyzed through numerical test. The result shows that the proposed CA model is a promising tool that may be used in fire safety design.

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