Using Case Study Data to Validate 3D Agent-based Pedestrian Simulation Tool for Building Egress Modeling

Rivers, Eric; Jaynes, Carla; Kimball, Amanda; Morrow, Erin

doi:10.1016/j.trpro.2014.09.016

Cited by 18 publications

(9 citation statements)

References 1 publication

(1 reference statement)

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“…PFA is performed using the Massmotion software based on the social force model; the effectiveness of this software had been demonstrated in [ 20 , 21 ]. According to the floor plan of this station, The PFA model was built according to the floor plan of this station.…”

Section: Simulation Modelmentioning

confidence: 99%

Surrogate-Assisted Fine Particulate Matter Exposure Assessment in an Underground Subway Station

Liu

2022

IJERPH

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With the increase in subway travelers, the air quality of underground enclosed spaces at subway stations has attracted much more attention. The study of pollutants exposure assessment, especially fine particulate matter, is important in both pollutant control and metro station design. In this paper, combining pedestrian flow analysis (PFA) and computational fluid dynamics (CFD) simulations, a novel surrogate-assisted particulate matter exposure assessment method is proposed, in which PFA is used to analyze the spatial-temporal movement characteristics of pedestrians to simultaneously consider the location and value of the pedestrian particulate generation source and their exposure streamline to particulate matter; the CFD model is used to analyze the airflow field and particulate matter concentration field in detail. To comprehensively consider the differences in the spatial concentration distribution of particulate matter caused by the time-varying characteristics of the airflow organization state in subway stations, surrogate models reflecting the nonlinear relationship between simulated and measured data are trained to perform accurate pedestrian exposure calculations. The actual measurement data proves the validity of the simulation and calculation methods, and the difference between the calculated and experimental values of the exposure is only about 5%.

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Section: Simulation Modelmentioning

confidence: 99%

Surrogate-Assisted Fine Particulate Matter Exposure Assessment in an Underground Subway Station

Liu

2022

IJERPH

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“…GAMA [108] is a fully integrated development environment based on Eclipse IDE that also allows the user to switch between the modelling and simulation perspectives [109]. Other simulation software include Exitus [11] which is an updated version of BUMMPEE [2], TENDENKO that can be used to model a heterogeneous crowd of evacuees and rescuers agents [56], Agent Analyst [44], [79], AlEva [26], buildingEXODUS [24], [70], CrowdSim [52], EVAC [27], FDS + EVAC [35], [48], MASON [68], MASSEgress [77], Massive [4], [72], MassMotion [40], [47], MATSim [73], [97], Flood Simulator [94], Mercurial [86], NetProLogo [78], OpenSteer [4], [37], [76], PULSE [32], [41], PyroSim [46], Repast [3], [10], [36] and SAFEgress [87].…”

Section: Simulation Softwarementioning

confidence: 99%

“…Validation against real world experiments is considered the strongest, but hardest, method of validation. Simulation results are compared to the data from the same simulated building [11], [23], [40], [43], [96], or a similar one [60]. Since real evacuation data may not be available, models can be validated against drills in non-emergency situations [29], [91].…”

Section: G Analysis and Validationmentioning

confidence: 99%

Research Issues in Agent-Based Simulation for Pedestrians Evacuation

2020

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Crowd evacuation in emergencies may lead to fatalities if the evacuation plans were not tested and evaluated. Traditionally, evacuation drills have been, and still are, being used to assess evacuation plans. However, in recent years the simulation of evacuation plans during emergencies has emerged as a strong alternative that is cost effective and potentially more accurate. Agent-Based Simulation (ABS) is the preferred type of simulation for evacuation scenarios, due to its ability to model individual decisionmaking and social behaviour. In this paper we conduct meta-analysis of eighty-one peer-reviewed papers published between 2009 and 2019 that used ABS to model pedestrian evacuation. Our analysis assesses the current state-of-art and identifies opportunities for improvement. We identify seven dimensions over which the surveyed papers agree or differ. The dimensions include purpose of the simulation, type of emergency and environment considerations, type and scale of evacuated space, simulation software used, agents' characteristics and behaviour, support of evacuation policies, and analysis and validation. We conduct meta-analysis of the surveyed papers along the identified dimensions. One of the main findings of our analysis is the lack of a standardized validation methodology for ABS of emergency evacuation.

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“…The movement of individual agents in MassMotion is based on a social forces algorithm modified for MassMotion [11]. The social forces model represents individuals as objects which have a number of forces acting upon them including goal, obstacle, and neighbor forces [24].…”

Section: Emergency Evacuation Modelsmentioning

confidence: 99%

Simulation of labor evacuation: The case of housing construction projects

Marzouk

Daoor

2018

HBRC Journal

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Construction sites occupy of the labors who are engaged in many different activities that can expose them to dangerous conditions. During emergencies and extreme events of natural or manmade origin in construction sites, saving labors lives is the primary objective. Therefore, the contractors are required to establish effective emergency plans which have to be improved to aid for rapid egress from construction sites. To support emergency evacuation planning, it is critical to estimate labor evacuation times during project execution. This paper presents a framework that utilizes building information modeling (BIM) and computer simulation to plan the evacuation of labors in construction sites during project execution and to visualize evacuation times of labors at emergency conditions at any time from project duration. The proposed framework utilizes Mass-Motion software as the simulation platform that enables predicting the labor evacuation times under various conditions. In addition, the evacuation time calculated from computer simulation is used to develop and evaluate the plan. A case study is worked out to demonstrate a simulation of emergency evacuation from a housing building during its construction to demonstrate the use of the proposed framework. Finally, the paper presents the simulation results of labors evacuation in the housing building construction sites.

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Using Case Study Data to Validate 3D Agent-based Pedestrian Simulation Tool for Building Egress Modeling

Cited by 18 publications

References 1 publication

Surrogate-Assisted Fine Particulate Matter Exposure Assessment in an Underground Subway Station

Surrogate-Assisted Fine Particulate Matter Exposure Assessment in an Underground Subway Station

Research Issues in Agent-Based Simulation for Pedestrians Evacuation

Simulation of labor evacuation: The case of housing construction projects

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