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Aircraft Accident

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Masao Nakagawa – One of the best experts on this subject based on the ideXlab platform.

  • Analysis of evacuation behavior in Aircraft Accident using evacuation model based on MAS
    Proceedings – 2013 International Conference on Biometrics and Kansei Engineering ICBAKE 2013, 2013
    Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Midori Mori, Masao Nakagawa

    Abstract:

    This paper evaluates the flow of passengers towards the emergency exit by using a system simulation based on a multi-agent system (MAS). To represent the behavior of panicked passengers, an internal model was introduced that reflected the changing emotional state of a passenger during an Aircraft Accident. In this internal model, an agent representing a panicked passenger exhibits non-adaptive behavior, that is, not following social rules regarding queuing in line at the emergency exit in the cabin. From the simulation studies, it was found that the selfish and abnormal behavior of a passenger, attributed to panic-related emotions, caused a slowdown in the cabin’s evacuation flow resulting in a delay in the evacuation egress time from an Aircraft after an Accident. By considering the simulation results from the point of view of social psychology, it was illustrated that the size of evacuation group affects performance during the evacuation.

  • simulation model for urgent evacuation at Aircraft Accident
    Transactions of the Japan Society of Mechanical Engineers. C, 2011
    Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Yuki Ueno, Masao Nakagawa

    Abstract:

    In this paper, the urgent evacuation behavior of passengers at Aircraft Accident is formulated as a simulation model which consists of two models such as a two-dimensional grid cell model and an autonomous and multiple agents’ system model. The former model represents the layout of cabin interior and the allocation of passengers. On the other hand, the latter shows the behavior of evacuation of passengers from inside of a cabin to outside of an Aircraft using emergency equipments such as an emergency exit and escaping slide. This autonomous agent is able to obtain the necessary information for urgent evacuation within one’s field of view and decide to select the escaping route by means of obtained information concerned with escaping path to the nearest emergency exit. By the comparable study between the results of the proposed simulation and the Accident analysis reports on “Garuda Indonesia Airways Accident on 1996” and “China Airline Accident on 2007 ,” it is verified that the proposed simulation system enable one to estimate the situation of urgent evacuation in the Aircraft Accident.

  • urgent evacuation simulation in Aircraft Accident using aamas
    Annual Conference on Computers, 2010
    Co-Authors: Tetsuya Miyoshi, Masao Nakagawa, Yuki Ueno, Hidetoshi Nakayasu

    Abstract:

    The urgent evacuation behavior is formulated as an autonomous agent and multi-agent system (AAMAS) model evolving over a two-dimensional grid cell that represents the Aircraft cabin and passenger. In this model, the autonomous agents are initially placed in seat squares and moves toward an emergency exit whenever the Aircraft Accident occurs. This autonomous agent can play a behavior of evacuation of passengers in the cabin, since they have not only a useful field of view to collect the useful information but also decide to move which emergency exit. In the emergent situation the agents feel the mental stress or strong fear or anxiety, thereby, the panicking is caused. The panicking agent’s behaviors delay the complete of the evacuation in the Aircraft, therefore, the emotion or panicking level of the agents should be considered as an important factor in the evacuation simulation. In this paper the panicking behavior was defined with the three crisis factors such as remaining time, frequency of waiting and the difficulty of finding exit. The effect of these crisis factors for the complete time of evacuation and the number of the panicking agents in the Aircraft were discussed. Considering the simulation results and situations of “Garuda Indonesia Airways Accident”, the simulation results suggested that it was possible to estimate the situation of Aircraft evacuation in the emergent Accident using the proposed evacuation simulator.

Tetsuya Miyoshi – One of the best experts on this subject based on the ideXlab platform.

  • Analysis of evacuation behavior in Aircraft Accident using evacuation model based on MAS
    Proceedings – 2013 International Conference on Biometrics and Kansei Engineering ICBAKE 2013, 2013
    Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Midori Mori, Masao Nakagawa

    Abstract:

    This paper evaluates the flow of passengers towards the emergency exit by using a system simulation based on a multi-agent system (MAS). To represent the behavior of panicked passengers, an internal model was introduced that reflected the changing emotional state of a passenger during an Aircraft Accident. In this internal model, an agent representing a panicked passenger exhibits non-adaptive behavior, that is, not following social rules regarding queuing in line at the emergency exit in the cabin. From the simulation studies, it was found that the selfish and abnormal behavior of a passenger, attributed to panic-related emotions, caused a slowdown in the cabin’s evacuation flow resulting in a delay in the evacuation egress time from an Aircraft after an Accident. By considering the simulation results from the point of view of social psychology, it was illustrated that the size of evacuation group affects performance during the evacuation.

  • simulation model for urgent evacuation at Aircraft Accident
    Transactions of the Japan Society of Mechanical Engineers. C, 2011
    Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Yuki Ueno, Masao Nakagawa

    Abstract:

    In this paper, the urgent evacuation behavior of passengers at Aircraft Accident is formulated as a simulation model which consists of two models such as a two-dimensional grid cell model and an autonomous and multiple agents’ system model. The former model represents the layout of cabin interior and the allocation of passengers. On the other hand, the latter shows the behavior of evacuation of passengers from inside of a cabin to outside of an Aircraft using emergency equipments such as an emergency exit and escaping slide. This autonomous agent is able to obtain the necessary information for urgent evacuation within one’s field of view and decide to select the escaping route by means of obtained information concerned with escaping path to the nearest emergency exit. By the comparable study between the results of the proposed simulation and the Accident analysis reports on “Garuda Indonesia Airways Accident on 1996” and “China Airline Accident on 2007 ,” it is verified that the proposed simulation system enable one to estimate the situation of urgent evacuation in the Aircraft Accident.

  • urgent evacuation simulation in Aircraft Accident using aamas
    Annual Conference on Computers, 2010
    Co-Authors: Tetsuya Miyoshi, Masao Nakagawa, Yuki Ueno, Hidetoshi Nakayasu

    Abstract:

    The urgent evacuation behavior is formulated as an autonomous agent and multi-agent system (AAMAS) model evolving over a two-dimensional grid cell that represents the Aircraft cabin and passenger. In this model, the autonomous agents are initially placed in seat squares and moves toward an emergency exit whenever the Aircraft Accident occurs. This autonomous agent can play a behavior of evacuation of passengers in the cabin, since they have not only a useful field of view to collect the useful information but also decide to move which emergency exit. In the emergent situation the agents feel the mental stress or strong fear or anxiety, thereby, the panicking is caused. The panicking agent’s behaviors delay the complete of the evacuation in the Aircraft, therefore, the emotion or panicking level of the agents should be considered as an important factor in the evacuation simulation. In this paper the panicking behavior was defined with the three crisis factors such as remaining time, frequency of waiting and the difficulty of finding exit. The effect of these crisis factors for the complete time of evacuation and the number of the panicking agents in the Aircraft were discussed. Considering the simulation results and situations of “Garuda Indonesia Airways Accident”, the simulation results suggested that it was possible to estimate the situation of Aircraft evacuation in the emergent Accident using the proposed evacuation simulator.

Hidetoshi Nakayasu – One of the best experts on this subject based on the ideXlab platform.

  • Analysis of evacuation behavior in Aircraft Accident using evacuation model based on MAS
    Proceedings – 2013 International Conference on Biometrics and Kansei Engineering ICBAKE 2013, 2013
    Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Midori Mori, Masao Nakagawa

    Abstract:

    This paper evaluates the flow of passengers towards the emergency exit by using a system simulation based on a multi-agent system (MAS). To represent the behavior of panicked passengers, an internal model was introduced that reflected the changing emotional state of a passenger during an Aircraft Accident. In this internal model, an agent representing a panicked passenger exhibits non-adaptive behavior, that is, not following social rules regarding queuing in line at the emergency exit in the cabin. From the simulation studies, it was found that the selfish and abnormal behavior of a passenger, attributed to panic-related emotions, caused a slowdown in the cabin’s evacuation flow resulting in a delay in the evacuation egress time from an Aircraft after an Accident. By considering the simulation results from the point of view of social psychology, it was illustrated that the size of evacuation group affects performance during the evacuation.

  • simulation model for urgent evacuation at Aircraft Accident
    Transactions of the Japan Society of Mechanical Engineers. C, 2011
    Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Yuki Ueno, Masao Nakagawa

    Abstract:

    In this paper, the urgent evacuation behavior of passengers at Aircraft Accident is formulated as a simulation model which consists of two models such as a two-dimensional grid cell model and an autonomous and multiple agents’ system model. The former model represents the layout of cabin interior and the allocation of passengers. On the other hand, the latter shows the behavior of evacuation of passengers from inside of a cabin to outside of an Aircraft using emergency equipments such as an emergency exit and escaping slide. This autonomous agent is able to obtain the necessary information for urgent evacuation within one’s field of view and decide to select the escaping route by means of obtained information concerned with escaping path to the nearest emergency exit. By the comparable study between the results of the proposed simulation and the Accident analysis reports on “Garuda Indonesia Airways Accident on 1996” and “China Airline Accident on 2007 ,” it is verified that the proposed simulation system enable one to estimate the situation of urgent evacuation in the Aircraft Accident.

  • urgent evacuation simulation in Aircraft Accident using aamas
    Annual Conference on Computers, 2010
    Co-Authors: Tetsuya Miyoshi, Masao Nakagawa, Yuki Ueno, Hidetoshi Nakayasu

    Abstract:

    The urgent evacuation behavior is formulated as an autonomous agent and multi-agent system (AAMAS) model evolving over a two-dimensional grid cell that represents the Aircraft cabin and passenger. In this model, the autonomous agents are initially placed in seat squares and moves toward an emergency exit whenever the Aircraft Accident occurs. This autonomous agent can play a behavior of evacuation of passengers in the cabin, since they have not only a useful field of view to collect the useful information but also decide to move which emergency exit. In the emergent situation the agents feel the mental stress or strong fear or anxiety, thereby, the panicking is caused. The panicking agent’s behaviors delay the complete of the evacuation in the Aircraft, therefore, the emotion or panicking level of the agents should be considered as an important factor in the evacuation simulation. In this paper the panicking behavior was defined with the three crisis factors such as remaining time, frequency of waiting and the difficulty of finding exit. The effect of these crisis factors for the complete time of evacuation and the number of the panicking agents in the Aircraft were discussed. Considering the simulation results and situations of “Garuda Indonesia Airways Accident”, the simulation results suggested that it was possible to estimate the situation of Aircraft evacuation in the emergent Accident using the proposed evacuation simulator.