Investigation on an Integrated Evacuation Route Planning Method Based on Real-Time Data Acquisition for High-Rise Building Fire

Han, Zhizhong; Weng, Wenguo; Quanlai, Zhao; Ma, Xin; Liu, Quanyi; Huang, Quanyi

doi:10.1109/tits.2012.2237398

Cited by 33 publications

(20 citation statements)

References 28 publications

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“…In the real world, a majority of disasters are dynamic evolution processes with immanent mechanisms. In the research of Han et al [32], an integrated real-time evacuation route planning method was proposed and was composed of real-time data acquisition, risk distribution calculation, and evacuation route formulation. Leng et al [25] proposed an extended floor-field model which takes into account the effect of wall repulsion and pedestrian repulsion instead of considering any kinds of fatalities.…”

Section: Algorithm Of Dynamic Field Kirchner and Schadschneidermentioning

confidence: 99%

Risk‐Field Based Modeling for Pedestrian Emergency Evacuation Combined with Alternative Route Strategy

Chao

Wang

2017

Mathematical Problems in Engineering

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For the past decades, with the frequent occurrence of emergencies, such as stampede, fire, and terrorist attack, the urgent requirements of developing realistic evacuation models to describe pedestrian and disaster dynamics are put forward. In this paper, an extended floor-field (FF) model combined with risk factors is presented for emergency evacuation. A novel dynamic rerouting mechanism is designed to elucidate the exit choice behavior of evacuees, and meanwhile, a recommended dynamic risk-field model is fully explored to deal with dynamical features of disaster. The proposed model is validated through numerical simulations with specific room structures. The effects of model parameters on evacuation efficiency and death toll are analyzed in detail. Simulation results show that the proposed model is effective and has a positive influence on evacuees’ exit choice behavior, and the death toll is closely related to the perceived information obtained by evacuee, such as the crowd density during the evacuation process.

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Section: Algorithm Of Dynamic Field Kirchner and Schadschneidermentioning

confidence: 99%

Risk‐Field Based Modeling for Pedestrian Emergency Evacuation Combined with Alternative Route Strategy

Chao

Wang

2017

Mathematical Problems in Engineering

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“…The framework has been improved by Wang et al [ 10 ] through integrating also the temporal dimension and taking into account the influence that the dynamics of an event may have on the evacuation routes. A similar integrated real-time evacuation route planning method for high-rise building fires has been proposed by Han et al [ 30 ]. Ahn and Han [ 22 ] have developed an indoor augmented reality system called RescueMe that runs on the users’ smart phones to guide people to evacuate from buildings in emergency situations.…”

Section: Related Workmentioning

confidence: 99%

A Time-Aware Routing Map for Indoor Evacuation

Zhao

Winter

2016

Sensors

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Knowledge of dynamic environments expires over time. Thus, using static maps of the environment for decision making is problematic, especially in emergency situations, such as evacuations. This paper suggests a fading memory model for mapping dynamic environments: a mechanism to put less trust on older knowledge in decision making. The model has been assessed by simulating indoor evacuations, adopting and comparing various strategies in decision making. Results suggest that fading memory generally improves this decision making.

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“…There are also the development of intelligent emergency response systems utilizing real-time 3D Geographic Information System (GIS) [21]. In addition, there is also work focusing on real-time data analysis in high risk buildings [22] that receives temperature and carbon monoxide concentration from sensors. BIM stores the information in the format of Industry Foundation Classes (IFC) [23], and applications of BIM in emergency management have been proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

Toward BIM-Enabled Decision Making for In-Building Response Missions

Chen

Huang²

2015

IEEE Trans. Intell. Transport. Syst.

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Decision making for rescue and evacuation is critical for disaster response operations not only in open spaces but also in buildings. For infrastructures with large and complex geometrical layouts, decision making could be facilitated with computer-aided approaches for better accuracy and efficiency. This paper aims to respond to fire in buildings. We combined network analysis with building information modeling (BIM) to facilitate the decision making for response operations. Building geometry is retrieved from the BIM model for graph construction and route finding. In this paper, the visibility graph (VG) and medial axis transform (MAT) are evaluated for graph construction. A hybrid method that combines VG and MAT is proposed, and encouraging results have been shown. Risks based on building materials and traffic of pedestrians are to be adapted for network edge costs to enable the lowest utility route finding in the future. The accuracy and efficiency for emergency decisions are expected to be improved for in-building rescue and evacuation operations.

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Investigation on an Integrated Evacuation Route Planning Method Based on Real-Time Data Acquisition for High-Rise Building Fire

Cited by 33 publications

References 28 publications

Risk‐Field Based Modeling for Pedestrian Emergency Evacuation Combined with Alternative Route Strategy

Risk‐Field Based Modeling for Pedestrian Emergency Evacuation Combined with Alternative Route Strategy

A Time-Aware Routing Map for Indoor Evacuation

Toward BIM-Enabled Decision Making for In-Building Response Missions

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