The Experts below are selected from a list of 326763 Experts worldwide ranked by ideXlab platform
Hernando Jimenez - One of the best experts on this subject based on the ideXlab platform.
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sense and avoid requirements for unmanned aircraft systems using a target Level of Safety approach
Risk Analysis, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:This article outlines the “sense and avoid” (SAA) requirements that are in place for unmanned aircraft systems (UAS) and are one of the stumbling blocks that must be overcome before the full integration of UAS into the National Airspace System (NAS). The authors propose a framework to develop effective requirements for SAA systems to ensure compliance with CFR 14 Part 91.113. The authors’ proposal links UAS characteristics and operating environments to midair collision risk quantified by a fatality rate. The framework consists of a target Level of Safety (TLS) approach using an event tree format. The authors propose define Safety using a fatality rate metric that follows other statistics already in use in the industry. They offer examples to demonstrate the use of the proposed framework to develop specific SAA effectiveness standards based on UAS weight and airspace class combinations. The authors conclude that, based on their experiments, several combinations of UAS and airspace classes could operate now with no SAA capability and still not pose any more risk to airspace users than current general aviation (GA) operations pose..
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a third party casualty risk model for unmanned aircraft system operations
Reliability Engineering & System Safety, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:Unmanned Aircraft System (UAS) integration into the National Airspace System (NAS) is an important goal of many members of the Aerospace community including stakeholders such as the military, law enforcement and potential civil users of UAS. However, integration efforts have remained relatively limited due to Safety concerns. Due to the nature of UAS, Safety predictions must look beyond the system itself and take the operating environment into account. A framework that can link UAS reliability and physical characteristics to the effects on the bystander population is required. This study proposes using a Target Level of Safety approach and an event tree format, populated with data from existing studies that share characteristics of UAS crashes to enable casualty prediction for UAS operations.
Richard Melnyk - One of the best experts on this subject based on the ideXlab platform.
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sense and avoid requirements for unmanned aircraft systems using a target Level of Safety approach
Risk Analysis, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:This article outlines the “sense and avoid” (SAA) requirements that are in place for unmanned aircraft systems (UAS) and are one of the stumbling blocks that must be overcome before the full integration of UAS into the National Airspace System (NAS). The authors propose a framework to develop effective requirements for SAA systems to ensure compliance with CFR 14 Part 91.113. The authors’ proposal links UAS characteristics and operating environments to midair collision risk quantified by a fatality rate. The framework consists of a target Level of Safety (TLS) approach using an event tree format. The authors propose define Safety using a fatality rate metric that follows other statistics already in use in the industry. They offer examples to demonstrate the use of the proposed framework to develop specific SAA effectiveness standards based on UAS weight and airspace class combinations. The authors conclude that, based on their experiments, several combinations of UAS and airspace classes could operate now with no SAA capability and still not pose any more risk to airspace users than current general aviation (GA) operations pose..
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a third party casualty risk model for unmanned aircraft system operations
Reliability Engineering & System Safety, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:Unmanned Aircraft System (UAS) integration into the National Airspace System (NAS) is an important goal of many members of the Aerospace community including stakeholders such as the military, law enforcement and potential civil users of UAS. However, integration efforts have remained relatively limited due to Safety concerns. Due to the nature of UAS, Safety predictions must look beyond the system itself and take the operating environment into account. A framework that can link UAS reliability and physical characteristics to the effects on the bystander population is required. This study proposes using a Target Level of Safety approach and an event tree format, populated with data from existing studies that share characteristics of UAS crashes to enable casualty prediction for UAS operations.
Daniel P Schrage - One of the best experts on this subject based on the ideXlab platform.
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sense and avoid requirements for unmanned aircraft systems using a target Level of Safety approach
Risk Analysis, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:This article outlines the “sense and avoid” (SAA) requirements that are in place for unmanned aircraft systems (UAS) and are one of the stumbling blocks that must be overcome before the full integration of UAS into the National Airspace System (NAS). The authors propose a framework to develop effective requirements for SAA systems to ensure compliance with CFR 14 Part 91.113. The authors’ proposal links UAS characteristics and operating environments to midair collision risk quantified by a fatality rate. The framework consists of a target Level of Safety (TLS) approach using an event tree format. The authors propose define Safety using a fatality rate metric that follows other statistics already in use in the industry. They offer examples to demonstrate the use of the proposed framework to develop specific SAA effectiveness standards based on UAS weight and airspace class combinations. The authors conclude that, based on their experiments, several combinations of UAS and airspace classes could operate now with no SAA capability and still not pose any more risk to airspace users than current general aviation (GA) operations pose..
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a third party casualty risk model for unmanned aircraft system operations
Reliability Engineering & System Safety, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:Unmanned Aircraft System (UAS) integration into the National Airspace System (NAS) is an important goal of many members of the Aerospace community including stakeholders such as the military, law enforcement and potential civil users of UAS. However, integration efforts have remained relatively limited due to Safety concerns. Due to the nature of UAS, Safety predictions must look beyond the system itself and take the operating environment into account. A framework that can link UAS reliability and physical characteristics to the effects on the bystander population is required. This study proposes using a Target Level of Safety approach and an event tree format, populated with data from existing studies that share characteristics of UAS crashes to enable casualty prediction for UAS operations.
Vitali Volovoi - One of the best experts on this subject based on the ideXlab platform.
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sense and avoid requirements for unmanned aircraft systems using a target Level of Safety approach
Risk Analysis, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:This article outlines the “sense and avoid” (SAA) requirements that are in place for unmanned aircraft systems (UAS) and are one of the stumbling blocks that must be overcome before the full integration of UAS into the National Airspace System (NAS). The authors propose a framework to develop effective requirements for SAA systems to ensure compliance with CFR 14 Part 91.113. The authors’ proposal links UAS characteristics and operating environments to midair collision risk quantified by a fatality rate. The framework consists of a target Level of Safety (TLS) approach using an event tree format. The authors propose define Safety using a fatality rate metric that follows other statistics already in use in the industry. They offer examples to demonstrate the use of the proposed framework to develop specific SAA effectiveness standards based on UAS weight and airspace class combinations. The authors conclude that, based on their experiments, several combinations of UAS and airspace classes could operate now with no SAA capability and still not pose any more risk to airspace users than current general aviation (GA) operations pose..
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a third party casualty risk model for unmanned aircraft system operations
Reliability Engineering & System Safety, 2014Co-Authors: Richard Melnyk, Daniel P Schrage, Vitali Volovoi, Hernando JimenezAbstract:Unmanned Aircraft System (UAS) integration into the National Airspace System (NAS) is an important goal of many members of the Aerospace community including stakeholders such as the military, law enforcement and potential civil users of UAS. However, integration efforts have remained relatively limited due to Safety concerns. Due to the nature of UAS, Safety predictions must look beyond the system itself and take the operating environment into account. A framework that can link UAS reliability and physical characteristics to the effects on the bystander population is required. This study proposes using a Target Level of Safety approach and an event tree format, populated with data from existing studies that share characteristics of UAS crashes to enable casualty prediction for UAS operations.
Mark A Griffin - One of the best experts on this subject based on the ideXlab platform.
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a study of the lagged relationships among Safety climate Safety motivation Safety behavior and accidents at the individual and group Levels
Journal of Applied Psychology, 2006Co-Authors: Andrew Neal, Mark A GriffinAbstract:The authors measured perceptions of Safety climate, motivation, and behavior at 2 time points and linked them to prior and subsequent Levels of accidents over a 5-year period. A series of analyses examined the effects of top-down and bottom-up processes operating simultaneously over time. In terms of top-down effects, average Levels of Safety climate within groups at 1 point in time predicted subsequent changes in individual Safety motivation. Individual Safety motivation, in turn, was associated with subsequent changes in self-reported Safety behavior. In terms of bottom-up effects, improvements in the average Level of Safety behavior within groups were associated with a subsequent reduction in accidents at the group Level. The results contribute to an understanding of the factors influencing workplace Safety and the Levels and lags at which these effects operate.
