DEVS-based Building Information Modeling and simulation for emergency evacuation

Wang, Sixuan; Schyndel, Michael Van; Wainer, Gabriel; Rajus, Vinu Subashini; Woodbury, Robert

doi:10.1109/wsc.2012.6465087

Cited by 18 publications

(23 citation statements)

References 15 publications

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“…The tool checks whether the public space meets standards and serves as a reference for design modifications. For evacuation planning in the pre-design phase of construction projects, there is also research based on BIM for the prevention of bottlenecks and congestions during construction [11].…”

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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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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“…In our previous research presented in [22], Cell-DEVS has been used in modeling evacuation of the crowd and detecting bottlenecks and congestion points in the buildings. Cell-DEVS models developed in CD++ were interfaced with Building Information Modeling (BIM) [23] models developed in Autodesk Revit TM Architecture [24] in order to export the building information from BIM and feed it to Cell-DEVS model to compute the crowd evacuation procedure.…”

Section: Building Information Modelingmentioning

confidence: 99%

Modeling and simulation of crowd using cellular discrete event systems theory

Farrell

Moallemi

Wang

et al. 2013

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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In this paper, we discuss how Cellular Discrete Event System Specification (Cell-DEVS) theory can be used in modeling and simulation of the crowd. We will show that the efficient cell update mechanism of Cell-DEVS allows for more efficient entitybased simulation of the crowd compared to cellular automata. On the other hand the formal interfacing mechanisms provided by this theory allows for integration of other components such as DEVS atomic processing component or visualization and building information modeling components with the Cell-DEVS model. Finally, we describe in details of the design and development of several pedestrian models and present the results.

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“…In most cases the results of the simulations were able to provide useful insight to their related fields. For instance, a model for evacuation of a building presented in [17], as seen in figure 6, is a clear example of how, by following the CA parameters and implementing simple local transition functions, a complex model can be created. The model included human behavior for the evacuation of a building with multiple floors.…”

Section: Implementation Of Cell-devs Models Using Cd++mentioning

confidence: 99%

“…The work done by Wang et al [17] was to create a framework to integrate specialized software to improve the real-world applications of the simulation. The building plans were extracted from Revit, a software specializing in the designing of building.…”

Section: Implementation Of Cell-devs Models Using Cd++mentioning

confidence: 99%

“…The application of this model will give rise to possible development in a wide range of areas. These areas would include such fields as: 3D visualization of DEVS based models [17] [20], the integration of the DEVS simulator with other software's to provide real-world applications for the simulations such as the work presented in [17]. In addition, integrating the DEVS based simulator with databases of three dimensional models, such as the Parametric Human Project [27], to model complex biological systems by coupling more basic DEVS atomic models.…”

Section: Problem Statementmentioning

confidence: 99%

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Computational Fluid Dynamic Solver Based on Cellular Discrete-Event Simulation for use in Biological Systems

Schyndel¹

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The use of computer simulations in biology and the medical research field has gained in popularity. These simulations are providing researchers the opportunity to better predict the behavior of biological systems before performing long and expensive physical trials. The modeling of large biological systems would benefit from a method of approximating fluid flow quickly and accurately. Currently, no analytical solution exists; instead, many different numerical methods attempt to provide accurate approximations. They are referred to as Computational Fluid Dynamic solvers (CFD). The Discrete Event System Specification (DEVS) has rarely been used for modeling the physics of fluid flow. In this thesis we show how Cell-DEVS, a derivative of the DEVS formalism that conforms to the Cellular Automata parameters, can be used to provide realistic approximations of fluid flow. The algorithms used in the CFD presented in this thesis are based on the Navier-Stokes equations for non-linear fluid flow, which are an extension to Newton's Second Law of motion. The goal of the Cell-DEVS based CFD model will be to accurately approximate the fluid flow with minimal computational effort. Furthermore, the design of the solver should be such that it can be easily adjusted for use in a wide range of biological systems.iii

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DEVS-based Building Information Modeling and simulation for emergency evacuation

Cited by 18 publications

References 15 publications

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

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

Modeling and simulation of crowd using cellular discrete event systems theory

Computational Fluid Dynamic Solver Based on Cellular Discrete-Event Simulation for use in Biological Systems

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