Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based Simulation

Most of the existing studies on relieving bottlenecks have aimed to develop route-finding algorithms that consider structural factors such as passages and stairs, as well as human factors such as density and speed. However, the methods in providing evacuation routes are as important as the route-mak...

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Main Authors: Moongi Choi, Sung-Jin Cho, Chul Sue Hwang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
IoT
Online Access:https://www.mdpi.com/2071-1050/13/16/9465
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spelling doaj-2b788cc10c604a359d740abf436b34382021-08-26T14:23:26ZengMDPI AGSustainability2071-10502021-08-01139465946510.3390/su13169465Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based SimulationMoongi Choi0Sung-Jin Cho1Chul Sue Hwang2Department of Geography, University of Utah, Salt Lake City, UT 84112, USAMarine Research Division, Korea Maritime Institute, Busan 49111, KoreaDepartment of Geography, Kyung Hee University, Seoul 02447, KoreaMost of the existing studies on relieving bottlenecks have aimed to develop route-finding algorithms that consider structural factors such as passages and stairs, as well as human factors such as density and speed. However, the methods in providing evacuation routes are as important as the route-making algorithms because a secondary bottleneck could occur continuously during evacuations. Even if an evacuation system provides the same routes to all evacuees regardless of their locations, secondary bottlenecks could happen following the initial bottlenecks due to people rushing toward uncrowded exits all together. To address this issue, we developed a location-based service (LBS) evacuation system prototype that provides optimized-alternative routes to evacuees in real time considering their locations in indoor space. The system was designed to relieve continuous bottlenecks, which relies on installed IoT sensors and beacon machines which detect bottlenecks and provide updated routes, separately. Next, we conducted agent-based simulations to measure the system’s effectiveness (evacuation time reduction and dispersion of evacuees) by changing the system parameters. Simulation results show the evacuation time decreased from 100 to 65 s, and the number of people who took a detour to avoid bottlenecks increased by 28.66% out of the total evacuees with this system. Since this system provides the theoretical solution for distributing evacuees, it can be flexibly employed to a disaster situation in a large and complex indoor environment by applying to other evacuation systems. Moreover, by adjusting parameters, we can derive maximum evacuation effectiveness in other indoor spaces. Future work will consider demographic features of population and multilayer building structure to draw a more accurate pedestrian flow.https://www.mdpi.com/2071-1050/13/16/9465evacuationIoTlocation-based serviceagent based simulationbottleneck effect
collection DOAJ
language English
format Article
sources DOAJ
author Moongi Choi
Sung-Jin Cho
Chul Sue Hwang
spellingShingle Moongi Choi
Sung-Jin Cho
Chul Sue Hwang
Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based Simulation
Sustainability
evacuation
IoT
location-based service
agent based simulation
bottleneck effect
author_facet Moongi Choi
Sung-Jin Cho
Chul Sue Hwang
author_sort Moongi Choi
title Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based Simulation
title_short Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based Simulation
title_full Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based Simulation
title_fullStr Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based Simulation
title_full_unstemmed Relieving Bottlenecks during Evacuations Using IoT Devices and Agent-Based Simulation
title_sort relieving bottlenecks during evacuations using iot devices and agent-based simulation
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-08-01
description Most of the existing studies on relieving bottlenecks have aimed to develop route-finding algorithms that consider structural factors such as passages and stairs, as well as human factors such as density and speed. However, the methods in providing evacuation routes are as important as the route-making algorithms because a secondary bottleneck could occur continuously during evacuations. Even if an evacuation system provides the same routes to all evacuees regardless of their locations, secondary bottlenecks could happen following the initial bottlenecks due to people rushing toward uncrowded exits all together. To address this issue, we developed a location-based service (LBS) evacuation system prototype that provides optimized-alternative routes to evacuees in real time considering their locations in indoor space. The system was designed to relieve continuous bottlenecks, which relies on installed IoT sensors and beacon machines which detect bottlenecks and provide updated routes, separately. Next, we conducted agent-based simulations to measure the system’s effectiveness (evacuation time reduction and dispersion of evacuees) by changing the system parameters. Simulation results show the evacuation time decreased from 100 to 65 s, and the number of people who took a detour to avoid bottlenecks increased by 28.66% out of the total evacuees with this system. Since this system provides the theoretical solution for distributing evacuees, it can be flexibly employed to a disaster situation in a large and complex indoor environment by applying to other evacuation systems. Moreover, by adjusting parameters, we can derive maximum evacuation effectiveness in other indoor spaces. Future work will consider demographic features of population and multilayer building structure to draw a more accurate pedestrian flow.
topic evacuation
IoT
location-based service
agent based simulation
bottleneck effect
url https://www.mdpi.com/2071-1050/13/16/9465
work_keys_str_mv AT moongichoi relievingbottlenecksduringevacuationsusingiotdevicesandagentbasedsimulation
AT sungjincho relievingbottlenecksduringevacuationsusingiotdevicesandagentbasedsimulation
AT chulsuehwang relievingbottlenecksduringevacuationsusingiotdevicesandagentbasedsimulation
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