Three-Dimensional Indoor Fire Evacuation Routing

Zhou, Yan; Pang, Yuling; Chen, Fen; Zhang, Yeting

doi:10.3390/ijgi9100558

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…Big data, virtual reality crowdsourcing, and other technologies are used to quantify and analyze the human psychology and social behavior of groups under different evacuation situations. By integrating the Internet of Things, BIM, and fire dynamics simulation (FDS) technologies, real-time fire monitoring and intelligent simulation and formulation of fire safety evacuation routes are realized [79][80][81][82][83][84][85][86][87][88][89][90]. The emergence of ICT [91,92] enables people to begin to quantify and analyze human psychology and social behavior in evacuation situations on a large scale and accurately.…”

Section: Evacuation Modelsmentioning

confidence: 99%

A Scientometric Research on Applications and Advances of Fire Safety Evacuation in Buildings

Yang

Yao

2023

Fire

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Fire safety evacuation has been used in numerous different kinds of buildings. This research conducts a scientometric review of fire safety evacuation applications and advances in the buildings to clarify the research trends of fire evacuation in the future and provide guidance for relevant research. A total of 3312 journals and conference proceedings were analyzed through different dimensions. The result proves that evacuation environments concentrate mainly on residential building, commercial building, school, and railway station. The characteristics of the evacuee have been gradually refined in recent years, including children, the elderly, patients, and vulnerable groups. The main experimental approaches of fire safety evacuation are evacuation drills, site records, and VR/AR experiments. The crowd behavior models mainly consist of six types: a cellular automata model, a social force model, a lattice gas model, a game-theoretic model, an animal agent-based model, and a computer agent-based model. The analysis results in the theoretical method are becoming gradually closer to the behavioral characteristics and movement data of the crowd during the actual evacuation with improvements of practical considerations. The study of evacuation drills, disaster rescue, emergencies, and other external environmental factors will become the forefront of future research, and subway stations, airports, high-rise building, and other personnel places will be the focus of the study of crowd evacuation.

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Section: Evacuation Modelsmentioning

confidence: 99%

A Scientometric Research on Applications and Advances of Fire Safety Evacuation in Buildings

Yang

Yao

2023

Fire

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“…To solve the problem of considering the complicated individual behavior, many studies focused on the evacuation process in indoor fire scenarios. The common research method is establishing a virtual scenario and simulating evacuation situations using a path search algorithm [19][20][21][22]. Combining Virtual Reality (VR), BIM, and Geographical Information System (GIS), many studies have been conducted to improve the existing path search algorithms to raise efficiency, which has become a research hotspot.…”

Section: Related Work 21 Indoor Fire Emergency Evacuationmentioning

confidence: 99%

Knowledge Graph Construction to Facilitate Indoor Fire Emergency Evacuation

Da,

Zhong,

Huang

2023

IJGI

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Indoor fire is a sudden and frequent disaster that severely threatens the safety of indoor people worldwide. Indoor fire emergency evacuation is crucial to reducing losses involving various objects and complex relations. However, traditional studies only rely on numerical simulation, which cannot provide adequate support for decision-making in indoor fire scenarios. The knowledge graph is a knowledge base that can fully utilize massive heterogeneous data to form a sound knowledge system; however, it has not been effectively applied in the fire emergency domain. This study is a preliminary attempt to construct a knowledge graph for indoor fire emergency evacuation. We constructed the indoor fire domain ontology and proposed a four-tuple knowledge representation model. A knowledge graph was constructed with 1852 nodes and 2364 relations from 25 indoor fire events. The proposed method was tested for the case study of Henan Pingdingshan ‘5.25’ Fire Accident in China. Results show that the proposed knowledge representation model and the corresponding knowledge graph can represent complicated indoor fire events and support indoor fire emergency evacuation.

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“…Different studies have utilised the BIM model to provide indoor routing and navigation. Semantics relevant to indoor routes, such as path accessibility and the degree of recognition, were used for efficient evacuation routes [16]. For indoor routing, the integration of BIM and GIS was suggested as a solution to the data interoperability problem.…”

Section: Research Workmentioning

confidence: 99%

Enhancing Indoor Navigation in Intelligent Transportation Systems with 3D RIF and Quantum GIS

Singh,

Tyagi,

Singh

et al. 2023

Sustainability

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Innovative technologies have been incorporated into intelligent transportation systems (ITS) to improve sustainability, safety, and efficiency, hence revolutionising traditional transportation. The combination of three-dimensional (3D) indoor building mapping and navigation is a groundbreaking development in the field of ITS. A novel methodology, the “Three-Dimensional Routing Information Framework “(3D RIF), is designed to improve indoor navigation systems in the field of ITS. By leveraging the Quantum Geographic Information System (QGIS), this framework can produce three-dimensional routing data and incorporate sophisticated routing algorithms to handle the complexities associated with indoor navigation. The paper provides a detailed examination of how the framework can be implemented in transport systems in urban environments, with a specific focus on optimising indoor navigation for various applications, including emergency services, tourism, and logistics. The framework includes real-time updates and point-of-interest information, thereby enhancing the overall indoor navigation experience. The 3D RIF’s framework boosts the efficiency and effectiveness of intelligent transportation services by optimising the utilisation of internal resources. The research outcomes are emphasised, demonstrating a mean enhancement of around 25.51% in travel. The measurable enhancement highlighted in this statement emphasises the beneficial influence of ITS on the efficiency of travel, hence underscoring the significance of the ongoing progress in this field.

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Three-Dimensional Indoor Fire Evacuation Routing

Cited by 12 publications

References 39 publications

A Scientometric Research on Applications and Advances of Fire Safety Evacuation in Buildings

A Scientometric Research on Applications and Advances of Fire Safety Evacuation in Buildings

Knowledge Graph Construction to Facilitate Indoor Fire Emergency Evacuation

Enhancing Indoor Navigation in Intelligent Transportation Systems with 3D RIF and Quantum GIS

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