• 제목/요약/키워드: Multi-Agent Evacuation

검색결과 10건 처리시간 0.02초

MAS 기반 피난시뮬레이션을 이용한 분산대피 비교 연구 (A comparative Study for dispersion model in evacuation plan by using MAS-based evacuation simulation)

  • 장재순;이동호
    • 한국안전학회지
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    • 제29권1호
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    • pp.59-63
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    • 2014
  • Smoke is one of the most critical factor when escaping from the fire since it reduces visibility and interrupts finding emergency exit lights. Therefore, it is recommended that an evacuation simulation program should incorporate the smoke factor. In addition, it is suggested that the program should include not only the unilateral damage by the smoke but also the detour evacuation by risk communication. In this study, MAS (Multi Agent System)-based simulation program which incorporates the reduced walking speed by smoke and adopts the dispersion evacuation logic during escaping from the fire. To make comparison, a commercial evacuation program, Pathfinder was used. It was found that the simulation results of MAS (Multi Agent System)-based program is better than Pathfinder in terms of safe evacuation. It means that evacuation simulation need a additional evaluation categories that include not only quick evacuation time but also safe evacuee number.

Analysis of suitable evacuation routes through multi-agent system simulation within buildings

  • Castillo Osorio, Ever Enrique;Seo, Min Song;Yoo, Hwan Hee
    • 한국측량학회지
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    • 제39권5호
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    • pp.265-278
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    • 2021
  • When a dangerous event arises for people inside a building and an immediate evacuation is required, it is important that suitable routes have been previously defined. These situations can happen especially when buildings are crowded, making the occupants have a very high vulnerability and can be trapped if they do not evacuate quickly and safely. However, in most cases, routes are considered based just on their proximity or short distance to the exit areas, and evacuation simulations that include more variables are not performed. This work aims to propose a methodology for building's indoor evacuation activities under the premise of processing simulation scenarios in multi-agent environments. In the methodology, importance indexes of simplified and validated geometry data from a BIM (Building Information Modeling) are considered as heuristic input data in a proposed algorithm. The algorithm is based on AP-Theta* pathfinding and collision avoidance machine learning techniques. It also includes conditioning variables such as the number of people, speed of movement as well as reaction ability of the agents that influence the evacuation times. Moreover, collision avoidance is applied between people or with objects along the route. The simulations using the proposed algorithm are tested in NetLogo for diverse scenarios, showing feasible evacuation routes and calculating evacuation times in a multi-agent environment. The experimental results are obtained by applying the method in a study case and demonstrate the level of effectiveness of the algorithm, and the influence of the conditioning variables analyzed together when performing safe evacuation routes.

인간의 인지능력 기반의 행동특성이 반영된 분산대피에 관한 연구 (A Study for dispersion evacuation by behavioral characteristics based on human cognitive abilities)

  • 장재순;이동호
    • 대한안전경영과학회지
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    • 제14권3호
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    • pp.159-166
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    • 2012
  • A*algorithm is highly useful to search the shortest route to the destination in the evacuation simulation. For this reason, A*algorithm is used to evaluate the evacuation experiment by the computer simulation. However there are some problems to analyze the outcome in relation to the reality. Because all the people in the building are not well-informed of the shortest route to the exit. And they will not move to the disaster spot though it is shortest route to the exit. Therefore, evacuation simulation program based on A*algorithm raise a problem of bottleneck phenomenon and dangerous result by damage surrounding the disaster spot. The purpose of this research is to prove the necessity for dispersion evacuation simulation by Multi agent system to solve the problems of the existing evacuation simulation program based on A*algorithm.

인공지능 피난유도설비 적용에 따른 최적 대피시뮬레이션 연구 (A Study for Optimal Evacuation Simulation by Artificial Intelligence Evacuation Guidance Application)

  • 장재순;공일천;이동호
    • 한국안전학회지
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    • 제28권3호
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    • pp.118-122
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    • 2013
  • For safe evacuation in the fire disaster, the evacuees must find the exit and evacuate quickly. Especially, if the evacuees don't know the location of the exit, they have to depend on the evacuation guidance system. Because the more smoke spread, the less visibility is decreasing, it is difficult to find the way to the exit by the naked eye. For theses reasons, the evacuation guidance system is highly important. However, the evacuation guidance system without change of direction has the risk that introduce to the dangerous area. In the evacuation safety assessment scenario by the evacuation simulation has the same problem. Because the evacuee in the simulation evacuate by the shortest route to the exit, the simulation result is same like the evacuation without the evacuation guidance system. In this study, it was used with MAS (Multi Agent System)-based simulation program including the evacuation guidance system to implement the change of evacuation by fire. Using this method, confidence of evacuation safety assessment can be increase.

MAS 기반 대피시뮬레이션을 활용한 안전약자 대피지원 개선방안 연구 (A Study for Evacuation Assistance to Vulnerable People by MAS Based Evacuation Simulation)

  • 정태호;박상현;장재순
    • 한국안전학회지
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    • 제32권1호
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    • pp.121-127
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    • 2017
  • Recently, many patients in a hospital are threatened life by fire disaster. Because many patients like vulnerable people have more evacuation problem than ordinary person. So a patient who can escape by oneself with walking assistance device like crutches or wheelchair and another patient who can't escape by oneself are should be supported safety technologies and service. Earlier research of 'hospital evacuation' led by actual experiments or computer evacuation simulation. Actual experiment is effective to gain credibility of result but it is difficult for patients to experiment repeatedly and it requires consideration for spatial problem and economic problems. Although computer evacuation simulation have been used to solve these problems, almost have concluded only results based on velocity without evacuation device. In this study, evacuation results with support device application or not are analysed used by computer evacuation simulation based on MAS(Multi Agent System). As a result, it is drawn through proof of efficiency of evacuation device in the vertical space like stairs that can improve the evacuation plan for vulnerable people in the hospital.

An Induction Scheme of Fast Initiative-Evacuation Based on Social Graphs

  • Taiyo, Ichinose;Tomoya, Kawakami
    • Journal of Information Processing Systems
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    • 제18권6호
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    • pp.770-783
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    • 2022
  • Early evacuations reduce the damage caused by catastrophic events such as terrorism, tsunamis, heavy rains, landslides, and river floods. However, even when warnings are issued, people do not easily evacuate during these events. To shorten the evacuation time, initiative-evacuation and its executors, initiative evacuees, are crucial in inducing other evacuations. The initiative evacuees take the initiative in evacuating and call out to their surroundings. This paper proposes a fast method to induce initiative-evacuation based on social graphs. The candidates are determined in descending order of the number of links for each person. The proposed method was evaluated through simulations. The simulation results showed a significant reduction in evacuation time.

A proposal on multi-agent static path planning strategy for minimizing radiation dose

  • Minjae Lee;SeungSoo Jang;Woosung Cho;Janghee Lee;CheolWoo Lee;Song Hyun Kim
    • Nuclear Engineering and Technology
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    • 제56권1호
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    • pp.92-99
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    • 2024
  • To minimize the cumulative radiation dose, various path-finding approaches for single agent have been proposed. However, for emergence situations such as nuclear power plant accident, these methods cannot be effectively utilized for evacuating a large number of workers because no multi-agent method is valid to conduct the mission. In this study, a novel algorithm for solving the multi-agent path-finding problem is proposed using the conflict-based search approach and the objective function redefined in terms of the cumulative radiation dose. The proposed method can find multi paths that all agents arrive at the destinations with reducing the overall radiation dose. To verify the proposed method, three problems were defined. In the single-agent problem, the objective function proposed in this study reduces the cumulative dose by 82% compared with that of the shortest distance algorithm in experiment environment of this study. It was also verified in the two multi-agent problems that multi paths with minimized the overall radiation dose, in which all agents can reach the destination without collision, can be found. The method proposed in this study will contribute to establishing evacuation plans for improving the safety of workers in radiation-related facilities.

Development of human-in-the-loop experiment system to extract evacuation behavioral features: A case of evacuees in nuclear emergencies

  • Younghee Park;Soohyung Park;Jeongsik Kim;Byoung-jik Kim;Namhun Kim
    • Nuclear Engineering and Technology
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    • 제55권6호
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    • pp.2246-2255
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    • 2023
  • Evacuation time estimation (ETE) is crucial for the effective implementation of resident protection measures as well as planning, owing to its applicability to nuclear emergencies. However, as confirmed in the Fukushima case, the ETE performed by nuclear operators does not reflect behavioral features, exposing thus, gaps that are likely to appear in real-world situations. Existing research methods including surveys and interviews have limitations in extracting highly feasible behavioral features. To overcome these limitations, we propose a VR-based immersive experiment system. The VR system realistically simulates nuclear emergencies by structuring existing disasters and human decision processes in response to the disasters. Evacuation behavioral features were quantitatively extracted through the proposed experiment system, and this system was systematically verified by statistical analysis and a comparative study of experimental results based on previous research. In addition, as part of future work, an application method that can simulate multi-level evacuation dynamics was proposed. The proposed experiment system is significant in presenting an innovative methodology for quantitatively extracting human behavioral features that have not been comprehensively studied in evacuation. It is expected that more realistic evacuation behavioral features can be collected through additional experiments and studies of various evacuation factors in the future.

지하철 승강장 화재시 연기의 전파속도에 따른 승강장 형태별 피난시간 비교·분석 연구 (A study of comparative of evacuation time by platform type according to the propagation speed of smoke in subway platform fire)

  • 김진수;이동호
    • 한국터널지하공간학회 논문집
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    • 제19권4호
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    • pp.577-588
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    • 2017
  • 화재와 같은 상황에서 인간의 피난 행동을 실험하는 것은 경제적으로나 윤리적으로 많은 제약이 따른다. 때문에 인간의 피난행동은 기존에 보고 연구된 피난 행동을 바탕으로 시뮬레이션 되고 있으며 최근에는 컴퓨터 성능의 발전으로 현실에 가까운 모델들이 연구될 수 있는 기반이 마련되었다. 본 연구에서는 화재시 인간의 행동특성과 연기 전파를 모델링하여 지하철 승강장 내에서의 피난시간을 분석하였다. 또한 지하철 역사 승강장의 형태를 계단 위치에 따라 구분하여 각 승강장별 피난시간을 비교함으로써 피난효율을 검토하였다. 그 결과 상대식 승강장은 섬식 승강장에 비해 평균 36.82%의 피난시간이 더 소요되며, 승강장 내의 계단 위치에 따라서는 승강장 중앙에서 화재가 발생하는 경우 상대식 승강장이 210초, 섬식 승강장이 186초로 승강장 2/5지점과 4/5지점에 계단이 위치하는 형태가 피난 측면에서 가장 우수한 것으로 나타났다.

A Multi-agent based simulation Model for evacuees escaping from Tsunami disaster -To evaluate the evacuees escaping program in Fujisawa city, Japan-

  • Fujioka, Masaki;Ishibashi, Kenichi;Kaji, Hideki;Tsukagoshi, Isao
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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    • pp.306-312
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    • 2001
  • In this research, we are trying to develop a framework to evaluate the prevention program for Tsunami disaster based on the Multi-agent simulation model. Tsunami has arisen by the earthquake. It happened after flew minutes or few hours when it occurred. It is clear that Tsunami will come after earthquake and from seashore. If we prevent the damage by Tsunami, we should make people who is in the seashore and lived near the seaside escape from there. Moreover we must forecast the escape activity from Tsunami. Former research of this field, some researches try to forecast the escape activity as macro level. However, people who escape from Tsunami is differ from their physical ability and ability of information processing. It needs a more accuracy model to forecast the escape activity of them. Furthermore they make a decision step by step using the various information. Therefore escape activity from Tsunami will describe using an agent based model which can only treat the information processing of human being. In this paper, we develop the evacuation model from Tsunami disaster using the Multi agent based model. The purpose of this study is to analyze the human action pattern when Tsunami occurred, and to make an accurately assessment for damages by Tsunami. The Fujisawa city government is planning and operating the various prevention program far Tsunami. However nobody assess it, because they do not have any simulation models for Tsunami disaster. If they want to set an effective prevention program for Tsunami, they should have any kinds of simulation model. The results of this study are 1) To develop the Multi agent based evacuees escape activity model. 2) Assess the damage of Tsunami in Fujisawa-City.

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