The Experts below are selected from a list of 5013 Experts worldwide ranked by ideXlab platform
Masao Nakagawa - One of the best experts on this subject based on the ideXlab platform.
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Analysis of evacuation behavior in Aircraft Accident using evacuation model based on MAS
Proceedings - 2013 International Conference on Biometrics and Kansei Engineering ICBAKE 2013, 2013Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Midori Mori, Masao NakagawaAbstract: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.
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simulation model for urgent evacuation at Aircraft Accident
Transactions of the Japan Society of Mechanical Engineers. C, 2011Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Yuki Ueno, Masao NakagawaAbstract: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.
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urgent evacuation simulation in Aircraft Accident using aamas
Annual Conference on Computers, 2010Co-Authors: Tetsuya Miyoshi, Masao Nakagawa, Yuki Ueno, Hidetoshi NakayasuAbstract: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.
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Analysis of evacuation behavior in Aircraft Accident using evacuation model based on MAS
Proceedings - 2013 International Conference on Biometrics and Kansei Engineering ICBAKE 2013, 2013Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Midori Mori, Masao NakagawaAbstract: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.
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simulation model for urgent evacuation at Aircraft Accident
Transactions of the Japan Society of Mechanical Engineers. C, 2011Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Yuki Ueno, Masao NakagawaAbstract: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.
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urgent evacuation simulation in Aircraft Accident using aamas
Annual Conference on Computers, 2010Co-Authors: Tetsuya Miyoshi, Masao Nakagawa, Yuki Ueno, Hidetoshi NakayasuAbstract: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.
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Analysis of evacuation behavior in Aircraft Accident using evacuation model based on MAS
Proceedings - 2013 International Conference on Biometrics and Kansei Engineering ICBAKE 2013, 2013Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Midori Mori, Masao NakagawaAbstract: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.
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simulation model for urgent evacuation at Aircraft Accident
Transactions of the Japan Society of Mechanical Engineers. C, 2011Co-Authors: Tetsuya Miyoshi, Hidetoshi Nakayasu, Yuki Ueno, Masao NakagawaAbstract: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.
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urgent evacuation simulation in Aircraft Accident using aamas
Annual Conference on Computers, 2010Co-Authors: Tetsuya Miyoshi, Masao Nakagawa, Yuki Ueno, Hidetoshi NakayasuAbstract: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.
Goranco Milosovski - One of the best experts on this subject based on the ideXlab platform.
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Improvement of Aircraft Accident Investigation Through Expert Systems
Journal of Aircraft, 2009Co-Authors: Goranco Milosovski, Cees Bil, P SimonAbstract:Research has been conducted at the Royal Melbourne Institute of Technology University in Melbourne, Australia on the improvement of Aircraft Accident investigation through expert systems. The aim of this research is to pursue a thorough analysis of the Aircraft Accident investigation, followed by identifying areas where significant improvements could be achieved, and finally demonstrating an expert system tool for improving investigation outcomes. Discussion on the development of applied methodology for Aircraft Accident investigation is presented.
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Conceptual development of Aircraft Accident survivability
2009Co-Authors: Goranco Milosovski, Sung Hwan ChoAbstract:Despite the huge progress in air safety, Accidents and incidents do still happen and can cause injuries, fatalities and the destruction of property. Thus, in the past fifty years, over fifteen hundred Accidents have occurred worldwide resulting in more than sixty thousand deaths, indicating that air traffic is still imperfect. This paper considers some aspects of Aircraft Accident survivability and discusses several general solutions for its improvement within the project 'Improvement of Aircraft Accident investigation through expert systems'. .
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Recent applications in air traffic safety for development of an expert system for enhancing Aircraft Accident investigation outcomes
2009Co-Authors: Goranco Milosovski, Cees BilAbstract:This paper provides a summary of some of the current research and literature relevant to the Aircraft Accident investigation and air traffic safety within the research project 'Improvement of Aircraft Accident investigation through expert systems'. In particular, research techniques and methods used by Aircraft Accident investigators are examined, as well as fields where their application and contribution to an investigation is the most effective. In addition, this paper shows how the given analysis has contributed to development of an expert system for enhancing investigation outcomes.
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Application of expert systems to Aircraft Accident investigation
46th AIAA Aerospace Sciences Meeting and Exhibit, 2008Co-Authors: Goranco Milosovski, Cees Bil, M CosevskiAbstract:In the last few decades there has been a considerable growth in the development of scientific methodologies for investigating complex issues, such as Aircraft Accidents, in order to establish a set of priorities for possible and desirable improvements. The essence of these methodologies is that they provide the optimal decision with respect to these priorities, which is based on information available, the strategic objectives and prediction of the future issues to be considered. An interdisciplinary approach and intuition have shown to be vital elements in developing contemporary methods for creating strategic decisions. A number of intuitive methods have been developed over the past few decades. One of the most successful among these methods is the Delphi technique. This paper discusses the application of the Delphi technique with respect to improving of Aircraft Accident investigation, in particular the stages of Aircraft Accident investigation where significant improvements can be made by contemporary technology and science. This paper provides the results of a qualitative and quantitative analysis of influential factors that have an impact on investigation outcomes. Furthermore, this paper addresses the requirement for a tool, which will be able to capture and store specific knowledge and analytical skills of a large number of experts. The paper discusses how Aircraft Accident investigation can be improved with the application of a global expert system as a tool for storing and analysing the forensic data of Aircraft Accidents worldwide.
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Demonstration of expert systems to Aircraft Accident investigation
2008Co-Authors: Goranco Milosovski, Cees Bil, P Simon, M CosevskiAbstract:Research is being conducted at the RMIT University on the Improvement of Aircraft Accident Investigation through Expert Systems. The outcome of this research presented in this paper is a novel investigation tool in the form of a data mining method designed towards giving Aircraft Accident investigators improved utilization of forensic data. The tool, named GP1020, is primarily a data sorting tool that sifts through a huge amount of data, namely those regarding Aircraft Accidents/incidents and investigations conducted including a number of causal factors for Accidents/incidents associated with their consistent evidence. The GP1020 program interface asks the user a treebased set of questions related to conditions of wreckage, Accident site and other circumstances relevant to Accidents/incidents. Given enough information, the program is capable of narrowing down all known possibilities to indicate the most probable cause(s) of the Accident/incident.
David R. Hunter - One of the best experts on this subject based on the ideXlab platform.
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Retrospective and prospective validity of Aircraft Accident risk indicators.
Human Factors, 2001Co-Authors: David R. HunterAbstract:Data from a national survey of pilots were used to examine the validity of measures for the prediction of aviation Accidents that had occurred prior to the survey (retrospective analysis) and Accidents that occurred after the survey (prospective analysis). Separate retrospective and prospective analyses were conducted, and 45 measures from the survey were found to be associated significantly with Accident involvement in the retrospective analysis. However, only 13 of those 45 measures achieved significance in the prospective analysis. Most of the measures found to be significantly related to Accident involvement concerned aviation exposure; the remaining measures related to pilots' perceived and actual level of caution. The study is unique in its use of a cohort design for the examination of Aircraft Accident risk prospectively, and the results suggest the need for caution in the interpretation of retrospective analyses in this research domain. Actual or potential applications of this research include the design of aviation safety programs and the design or interpretation of studies that address indicators of Aircraft Accident risk.
