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Roster and Air Traffic Controller's Situation Awareness

机译:名册和空中交通管制员的情况意识

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摘要

Fatigue has been identified as a leading contributor to incidents and accidents within high-risk industries, in particular, the aviation sector. Traditional approaches used to mitigate fatigue, predominantly for air traffic controllers and flight crew, have largely focused on duty time limitations. FRMS is a data-driven means of continuously monitoring and managing fatigue-related safety risks, based on scientific principles and knowledge as well as operational experience, which aim to ensure relevant personnel are performing at adequate levels of alertness. It allows operators to adapt policies, procedures and practices to the specific conditions that create fatigue in a particular aviation setting. The ages of 36 participants in this study were from 23 years to 58 years old. The results demonstrated that ATCO's alertness indicate as functioning at a high level of alertness between 9 am and 5 pm during working hours. ATCOs' alertness levels deteriorated between working day-1 to day-5. Furthermore, there are significant differences over the 8 working hours per day among 5 working days. Particularly, the 6th, 7th and 8th working hours demonstrate much worsened alertness on day-4 and day-5. The pro-active approach of FRMS is to increase ATCOs fatigue resilience to cope with demanding situations while ATCOs are on position and while resting on breaks. FRMS is data driven, and data is collected from the operation, fatigue management decisions are made against this data, and the measurements that are required can be identified and implemented to improve the safety of operations.
机译:疲劳被确定为高风险行业(尤其是航空部门)内事件和事故的主要原因。主要用于空中交通管制员和机组人员的减轻疲劳的传统方法主要集中在值勤时间的限制上。疲劳风险管理系统是一种基于数据的手段,可基于科学原理和知识以及操作经验,持续监测和管理与疲劳相关的安全风险,旨在确保相关人员保持足够的警觉性。它使运营商可以根据特定条件调整政策,程序和做法,以在特定航空环境中造成疲劳。这项研究的36位参与者的年龄从23岁到58岁。结果表明,ATCO的警觉性表明工作时间内上午9点至下午5点之间处于高度警觉状态。在第1天到第5天之间,ATCO的警觉性水平下降。此外,在5个工作日中,每天8个工作小时之间存在显着差异。特别是,第6、7和8个工作时间在第4天和第5天的警觉性大大恶化。疲劳风险管理系统的积极方法是增加ATCO的疲劳韧性,以在ATCO处于就职和休息时间时应对严酷的情况。疲劳风险管理系统是由数据驱动的,并且从运营中收集数据,根据该数据做出疲劳管理决策,并且可以识别和实施所需的测量以提高运营安全性。

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