Evacuation Simulation under Different Conditions using a Safest Path Routing Algorithm

Shikhalev, Denis; Khabibulin, Renat; Kemloh, Ulrich; Gudin, Sergey

doi:10.5220/0005834800620069

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Each occupant is represented in the system by an agent who runs on an app on their smartphone, from which they receive the shortest safe routes calculated by an agent specifically designed for this purpose. Shikhalev et al [54] propose an algorithm that determines and presents occupants' safest path in a fire emergency. The proposed solution uses the Floyd-Warshall algorithm [55].…”

Section: Fire Building Evacuationmentioning

confidence: 99%

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

et al. 2022

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The evacuation of buildings in case of fire is a sensitive issue for civil society that also motivates the academic community to develop and study solutions to improve the efficiency of evacuating these spaces. The study of human behavior in fire emergencies has been one of the areas that have deserved the attention of researchers. However, this modeling of human behavior is difficult and complex because it depends on factors that are difficult to know and that vary from country to country. In this paper, a paradigm shift is proposed which, instead of focusing on modeling the behavior of occupants, focuses on conditioning this behavior by providing real-time information on the most efficient evacuation routes. Making this information available to occupants is possible with a solution that takes advantage of the growing use of the IoT (Internet of Things) in buildings to help occupants adapt to the environment. Supported by the IoT, multi-agent recommender systems can help users to adapt to the environment and provide the occupants with the most efficient evacuation routes. This paradigm shift is achieved through a context-based multi-agent recommender system based on contextual data obtained from IoT devices, which recommends the most efficient evacuation routes at any given time. The obtained results suggest that the proposed solution can improve the efficiency of evacuating buildings in the event of a fire; for a scenario with two hundred people following the system recommendations, the time they take to reach a safe place decreases by 17.7%.

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Section: Fire Building Evacuationmentioning

confidence: 99%

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

et al. 2022

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show abstract

“…Ôóíêöèÿ äëÿ ðàíaeèðîâàíèÿ çàäà÷ óïðàâëåíèÿ ïî ïðåäïî÷òåíèþ ðåàëèçóåòñÿ íà îñíîâå àääèòèâíîé ôóíêöèè [11][12][13][14], âêëþ÷àþùåé â ñåáÿ âñå îöå-íî÷íûå ïàðàìåòðû ñ ó÷åòîì èõ âàaeíîñòè: " 2) äëÿ êàaeäîé çàäà÷è óïðàâëåíèÿ îïðåäåëåíèå çíà÷åíèÿ ôóíêöèè (1) ñ ó÷åòîì òîãî, ÷òî äëÿ êàaeäîãî îöåíî÷íîãî ïîêàçàòåëÿ ïî ôîðìóëàì (2) è (3) îïðåäåëåíû êîýôôèöèåíòû âàaeíîñòè;…”

Section: ðàçðàáîòêà ìîäåëè ðàíAeèðîâàíèÿ çàäà÷ óïðàâëåíèÿ â àñóunclassified

Fire and Rescue Team Communication and Control Automated Information System

Tarakanov¹,

Bakanov²,

Kolbashov³

et al. 2018

PVB

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Development of Route Finder System for Emergency Management in Buildings Based on Computer Simulation

Tarakanov

Shikhalev

2021

2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

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Evacuation Simulation under Different Conditions using a Safest Path Routing Algorithm

Cited by 3 publications

References 3 publications

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

Fire and Rescue Team Communication and Control Automated Information System

Development of Route Finder System for Emergency Management in Buildings Based on Computer Simulation

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