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Multi-Agent Evacuation Simulation through Pathfinding and Collision Avoidance
Ever Enrique Castillo Osorio(에베르 엔리케 카스티요 오소리오),Hwanhee Yoo(유환희) 대한공간정보학회 2021 한국지형공간정보학회 학술대회 Vol.2021 No.11
When designing evacuation plans for crowded buildings, it is important to define suitable routes. However, in most cases, routes are determined based only on their short distance to exit areas and evacuation simulations that include more variables, especially those related to vulnerability, are not performed. This work aims to present a methodology for simulating the evacuation of multi-agent systems. The method applies pathfinding and collision avoidance algorithms as machine learning techniques and analyzes vulnerability conditions in crowded buildings. The experimental results show the level of effectiveness of the method in calculating suitable evacuation routes and times that can be used by decision makers in evacuation, search and rescue activities.
Multicriteria analysis for evacuaton route in case of disaster
Ever Enrique Castillo Osorio(에베르 엔리케 카스티요 오소리오),Hwanhee Yoo(유환희) 대한공간정보학회 2019 한국지형공간정보학회 학술대회 Vol.2019 No.5
Determining evacuation routes inside buildings is important for search and rescue activities of people who may be trapped when a disaster occurs. This work aims to develop a methodology that uses Building Information Modeling (BIM) geometry data and applies the multicriteria analysis for the prioritization of areas as part of the potential evacuation routes in the building. The information that results from the analysis is used as additional heuristic data in the execution of a variant of the A* pathifinding algorithm. The initial results allow comparing feasible evacuation routes in simulation scenarios and establishing the importance of the application of multicriteria analysis.
Analytic Hierarchy Process for Evacuation Routes Simulation Inside Buildings
Ever Enrique Castillo Osorio(에베르 엔리케 카스티요 오소리오),Hwanhee Yoo(유환희) 대한공간정보학회 2019 한국지형공간정보학회 학술대회 Vol.2019 No.11
In order to determine low vulnerability evacuation routes for the safe transit of people inside buildings, the environment conditions must be analyzed objectively. This paper proposes a method for the simulation of feasible evacuation routes applying the Analytic Hierarchy Process (AHP) to prioritize and establish weights to the factors that influence the conditions of vulnerability of the geometry elements taken from the Building Information Modeling (BIM). The results of AHP are included in a developed variant of the A* pathfinding algorithm to compare feasible evacuation routes under different simulation scenarios that vary according to the prioritization of criteria and the classification of people by physical conditions. This method may represent an important tool for decision-making in activities related to search, rescue and evacuation within buildings when a disaster happens.
An Integrated Spatial Database System for Disaster Risk Management in San Juan valley, Peru
Ever Enrique Castillo Osorio(에베르 엔리케 카스티요 오소리오),Hwan-hee Yoo(유환희) 대한공간정보학회 2017 한국지형공간정보학회 학술대회 Vol.2017 No.10
Despite various image sources are available for specific certain area, current disaster management system in Peru is likely to be implemented with one of them so its applicability and extensibility are severely limited. In addition, real-time update for disaster area is one of crucial functions for disaster mitigation. To meet addressed requirements, in this paper, is proposed a new spatial data infrastructure which has four respective layers to reduce management cost as well as provide flexible architecture. In each layer, various open source software or standard technologies are taken to perform given tasks. It is developed a case of study in San Juan valley, in the Peruvian coast, where floods frequently occur affecting the population and the economic activities of the region. The experimental results reveal that the proposed scheme accommodates the requirements for disaster risk management and meet performance criterions in efficient way.