• Title/Summary/Keyword: Evacuation route calculation

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Simulation of Evacuation Route Scenarios Through Multicriteria Analysis for Rescue Activities

  • Castillo Osorio, Ever Enrique;Yoo, Hwan Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.5
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    • pp.303-313
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    • 2019
  • After a disaster happens in urban areas, many people need support for a quick evacuation. This work aims to develop a method for the calculation of the most feasible evacuation route inside buildings. In the methodology we simplify the geometry of the structural and non structural elements from the BIM (Building Information Modeling) to store them in a spatial database which follows standards to support vector data. Then, we apply the multicriteria analysis with the allocation of prioritization values and weight factors validated through the AHP (Analytic Hierarchy Process), in order to obtain the Importance Index S(n) of the elements. The criteria consider security conditions and distribution of the building's facilities. The S(n) is included as additional heuristic data for the calculation of the evacuation route through an algorithm developed as a variant of the $A^*$ pathfinding, The experimental results in the simulation of evacuation scenarios for vulnerable people in healthy physical conditions and for the elderly group, shown that the conditions about the wide of routes, restricted areas, vulnerable elements, floor roughness and location of facilities in the building applied in the multicriteria analysis has a high influence on the processing of the developed variant of $A^*$ algorithm. The criteria modify the evacuation route, because they considers as the most feasible route, the safest instead of the shortest, for the simulation of evacuation scenarios for people in healthy physical conditions. Likewise, they consider the route with the location of facilities for the movement of the elderly like the most feasible in the simulation of evacuation route for the transit of the elderly group. These results are important for the assessment of the decision makers to select between the shortest or safest route like the feasible for search and rescue activities.

A Study on the Plan of Inundation Response of Skyscrapers with Evacuation Route Calculation (대피경로 산정을 통한 초고층 건축물의 침수 대피 방안에 관한 연구)

  • Kim, Joon-Ha;Kim, Tae-Heon;Jung, Jae-Wook
    • Journal of the Society of Disaster Information
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    • v.16 no.1
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    • pp.123-132
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    • 2020
  • Purpose: In this study, the authors propose a flood evacuation plan for skyscrapers with law related to underground space of skyscrapers, domestic and international underground space flood case study and simulation test. Method: This study compares the evacuation pattern of various case from flooded underground spaces extending over several floors with respect to the number of evacuation routes with. Also, simulation test was performed by setting up the virtual underground spaces consisting of three-stories basement and changing the number of the ground entrance, area of the basement and the flooding heights of the basement. Result: There was no difference in evacuation route according to the inundation risk even if there was an area corresponding to risk level 4. This is because the risk in the starting area is greater than that in the evacuation route. Especially, even if the risk of evacuation route increases with time, there is no change in route because the route must be passed to reach the evacuation site. Conclusion: In this study, there was no difference in evacuation route according to the inundation risk. However, if the size and shape of the underground space of each building is different, the depth of inundation with time may be different.

A Study of Evacuation Route Guidance System using Location-based Information (위치기반 정보를 활용한 비상대피경로 안내 지원시스템 개발)

  • Kim, Ho-Kyeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.9
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    • pp.18-23
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    • 2017
  • The shipyard quay process struggles to control workers and maintain a secure working environment because of the presence of at least 1,000 people. Therefore, safety accidents such as an explosion or a fire are likely to occur. With the recent increase in safety accidents at shipyards, the requirements for safety and process monitoring have been strengthened. Major shipyards are conducting researchto monitor the process in real time and to detect the work environment for safety. In this paper, we propose a safe and accurate evacuation route based on the information of the dangerous area and the user's location based on a mobile application to reduce the casualty accidents in the presence of many personnel in a concentrated area. To do this, we analyze the trend of the fire escape system on the ground building, compare various algorithms for escape route calculation, select appropriate algorithms for this study, and perform programming. A basic experiment was conducted to confirm the results. The proposed method is expected to be used in large ship construction sites, passenger ships and large public facilities to reduce accidents in the case of a safety accident.

Optimum Evacuation Route Calculation Using AI Q-Learning (AI기법의 Q-Learning을 이용한 최적 퇴선 경로 산출 연구)

  • Kim, Won-Ouk;Kim, Dae-Hee;Youn, Dae-Gwun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.7
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    • pp.870-874
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    • 2018
  • In the worst maritime accidents, people should abandon ship, but ship structures are narrow and complex and operation takes place on rough seas, so escape is not easy. In particular, passengers on cruise ships are untrained and varied, making evacuation prospects worse. In such a case, the evacuation management of the crew plays a very important role. If a rescuer enters a ship at distress and conducts rescue activities, which zones represent the most effective entry should be examined. Generally, crew and rescuers take the shortest route, but if an accident occurs along the shortest route, it is necessary to select the second-best alternative. To solve this situation, this study aims to calculate evacuation routes using Q-Learning of Reinforcement Learning, which is a machine learning technique. Reinforcement learning is one of the most important functions of artificial intelligence and is currently used in many fields. Most evacuation analysis programs developed so far use the shortest path search method. For this reason, this study explored optimal paths using reinforcement learning. In the future, machine learning techniques will be applicable to various marine-related industries for such purposes as the selection of optimal routes for autonomous vessels and risk avoidance.

Evaluation of the Appropriateness of Smoke Control Conditions of Platform at the Subway Fire by using FDS (FDS를 이용한 지하철 객실 화재 시 승강장 제연조건의 적정성 평가)

  • Kim, Ki-Sung;Song, Dong-Woo;Lee, Su-Kyung
    • Fire Science and Engineering
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    • v.27 no.5
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    • pp.8-14
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    • 2013
  • In the subway, various fires continue to take place across the world. In the Daegu subway accident in 2003, many people were damaged by shortened visibility range caused by toxic gas and smoke. This paper, assuming that a subway fire happens in the Mandeok Station of the subway system in Busan, analyzed different smoke-spreading situations depending on the ventilation situation at its platform (opening of the train doors, operation of ventilation facilities in the tunnel, and working of fire door), using FDS. The calculation proved that it would be more effective to secure evacuation route when the ventilation facilities of the tunnel are not operated, than when they are on. And, it was also found that the case where the doors of the platform to the escape route and only the platform-facing doors of the subway car on fire office are open would be more effective to ventilation than the case where all the doors are open. And, it was found to be important that the fire doors of the platform are working properly.