Influences of intelligent evacuation guidance system on crowd evacuation in building fire

Ran, Haichao; Sun, Liang; Gao, Xiao‐Zhi

doi:10.1016/j.autcon.2013.10.022

Cited by 62 publications

(35 citation statements)

References 7 publications

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“…With the development of the economy and the progress of society, the number of large-scale public buildings has increased significantly, there is a large amount of In Sustainable Cities and Society 52 (2020) 101839, Elsevier people gathering in the large public buildings such as museums, shopping malls， stadiums and metro stations (Lo et al, 2008;XIE et al, 2017). Most of these large-scale buildings have multiple function and large room capacity that cause the evacuation path is too long and complex and delay the evacuation time (Ran et al, 2014). Building code demonstrates the guideline for designing evacuation facility, however the main consideration of the code is to meet the basic requirement of safety instead of minimizing evacuation time.…”

Section: Introductionmentioning

confidence: 99%

Building evacuation time optimization using constraint-based design approach

Gao

Medjdoub

Luo

et al. 2020

Sustainable Cities and Society

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The number of large public buildings is growing rapidly in function and complexity, which cause the evacuation path in case of fire to be too long and complex increasing the evacuation time. In this paper, a constraint-based design approach is introduced to automatically generate the optimal position of the building evacuation door to minimize the length of the escape route, thus reducing the evacuation time. The position of the evacuation doors is ruled by design specifications and building structures, in this study,

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Section: Introductionmentioning

confidence: 99%

Building evacuation time optimization using constraint-based design approach

Gao

Medjdoub

Luo

et al. 2020

Sustainable Cities and Society

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show abstract

“…Acknowledging how evacuees recognize an emergency and react during a fire requires an understanding of the cognitive and social aspects of human behavior (such as risk perception, decision making, social influence, and group formation), according to [11][12][13][14][15]. While calculating evacuation paths, recent studies of individual actions during an emergency considered changes in crowd movement and suggested optimal routes based on adequate knowledge of human behavior [16,17]. When crowd emergency choices do not match the expected choice, these intelligent guidance systems can improve evacuation effectiveness, ensuring a safe and quick evacuation [18].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Research Findings Types of Models Research Tools [11][12][13][14][15] Studied how evacuees can identify emergencies and respond in a fire Continuous fluid models Questionnaires, field visits, databases, structural equations models, empirical studies [16,17] When calculating the evacuation path, the factors of population movement changes during the evacuation were considered, and the optimal evacuation route was proposed…”

Section: Document Serial Numbermentioning

confidence: 99%

Study on Evacuation Behavior of Urban Underground Complex in Fire Emergency Based on System Dynamics

Chen

Wang

et al. 2022

Sustainability

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During a fire evacuation, long lateral evacuation distances, large crowds waiting for evacuation at the same level, and easily panicked populations are common. This research aimed to look into the large-scale evacuation behavior of urban underground complexes with limited evacuation and egress during a fire. A simplified model for large-scale group evacuation of urban subsurface complexes was constructed using system dynamics theory. The Vensim software was used for quantitative simulation. The model could represent the typical phenomenon of group evacuation behaviors, such as quick or slow, under seven operating situations with total initial numbers of 350, 400, 450, 500, 1000, 2000, and 4000. The results of an analysis of critical affecting factors show “total initial number” and “panic state” during a large-scale group evacuation: a large beginning population will result in a rapid reduction in system evacuation capability, delaying the completion of the evacuation process significantly; meanwhile, if the level of panic is deficient, the system’s evacuation efficiency will remain low for an extended period, making it difficult to evacuate trapped persons promptly. According to the findings, the developed system dynamics model, which combines the advantages of a continuous model with the advantages of a discrete model, is very accurate. At the same time, we should emphasize the importance of the evacuation guide and reinforce the fire education and behavior drills for the building’s workers. This research presents a simplified model for the evacuation of large groups of people from metropolitan underground complexes. Furthermore, the findings may give theoretical support for the development of rules and safety management practices.

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“…It can be preinstalled and seen by each evacuated individual. ese advantages have prompted researchers to pay attention to the dynamic exit sign [1][2][3]. Depending on the message conveyed, dynamic exit signs can be divided into two types: negative signs and positive signs.…”

Section: Related Workmentioning

confidence: 99%

“…To overcome the inherent defects of SSG, researchers have developed Dynamic Sign Guidance (DSG) systems with direction-variable exit signs that can change their arrow direction [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Sign Guidance Optimization for Crowd Evacuation considering Flow Equilibrium

et al. 2022

Journal of Advanced Transportation

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The dynamic exit sign has been verified as an effective means to guide the pedestrian during evacuation. The most critical mechanism with dynamic exit sign guidance is to balance the pedestrian flow on each exit route by optimizing the direction of signs. This paper formulates a bi-level programming model for the direction optimization problem of dynamic signs in buildings. In the bi-level program, the upper-level model is a system optimal model, aiming to minimize the total travel time by optimizing the dynamic sign direction. The lower-level model is a pedestrian assignment model satisfying the dynamic user optimal principle that describes the evacuee exit/route choice behaviour to achieve a balanced pedestrian distribution on the route. A method based on the fundamental diagram, the cell transmission model, and the point-queuing theory is developed to estimate evacuation travel time considering congestion and queuing. A heuristic algorithm is extended to solve the bi-level program. Finally, the proposed methodology is validated with numerical examples. Results reveal that the proposed model can produce the optimal dynamic sign direction, significantly improving the evacuation efficiency.

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Influences of intelligent evacuation guidance system on crowd evacuation in building fire

Cited by 62 publications

References 7 publications

Building evacuation time optimization using constraint-based design approach

Building evacuation time optimization using constraint-based design approach

Study on Evacuation Behavior of Urban Underground Complex in Fire Emergency Based on System Dynamics

Dynamic Sign Guidance Optimization for Crowd Evacuation considering Flow Equilibrium

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