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"Air safety"
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Cognitive engineering and safety organization in air traffic management
\"This book covers the Air Traffic Management (ATM) environment and the controller-crew interactions. The International Civil Aviation Organization (ICAO) regulations and organizational procedures are also presented in a succinct manner so that novel and experienced aviation practitioners appreciate how safety organization affects their cognitive performance. The book distills theoretical knowledge about human cognition and presents real examples and case studies to help readers understand how air traffic controllers make sense of difficult situations, make decisions under time pressure, detect and correct their errors, and adapt their performance to complex situations\"-- Provided by publisher.
Book
An Examination of UAS Incidents: Characteristics and Safety Considerations
This paper examines the characteristics and implications of reported Unmanned Aircraft Systems (UAS) incidents in the National Aeronautics and Space Administration (NASA) Aviation Safety Reporting System (ASRS) database for UAS incidents operated by remote pilots licensed under Part 107. Characteristics examined include seasonal patterns of incidents, operational mission, and number of contributing factors, as well as crew configuration, timing of incident detection, and airspace class. Results are compared with previous research and with incident data for recreational users. The narratives for each incident are assessed to provide a greater context for the incidents and to determine how the incidents vary in different classes of airspace. Findings reveal that UAS incidents often involve multiple contributing factors, including environmental, human, equipment, and policy issues; there is an increasing prevalence of human-related issues over equipment problems compared to previous research; this reflects historic safety trends in crewed aviation. Near-miss incidents with crewed aircraft are a very real concern, particularly in Class D airspace, which often includes general aviation (GA) and helicopter operations. This research underscores the need for timely communication during urgent nighttime UAS operations as well as enhanced safety culture at both operator and organizational levels.
Journal Article
In-time aviation safety management : challenges and research for an evolving aviation system
\"Decades of continuous efforts to address known hazards in the national airspace system (NAS) and to respond to issues illuminated by analysis of incidents and accidents have made commercial airlines the safest mode of transportation. The task of maintaining a high level of safety for commercial airlines is complicated by the dynamic nature of the NAS. The number of flights by commercial transports is increasing; air traffic control systems and procedures are being modernized to increase the capacity and efficiency of the NAS; increasingly autonomous systems are being developed for aircraft and ground systems, and small aircraft--most notably unmanned aircraft systems--are becoming much more prevalent. As the NAS evolves to accommodate these changes, aviation safety programs will also need to evolve to ensure that changes to the NAS do not inadvertently introduce new risks. Real-time system-wide safety assurance (RSSA) is one of six focus areas for the National Aeronautics and Space Administration (NASA) aeronautics program. NASA envisions that an RSSA system would provide a continuum of information, analysis, and assessment that supports awareness and action to mitigate risks to safety. Maintaining the safety of the NAS as it evolves will require a wide range of safety systems and practices, some of which are already in place and many of which need to be developed. This report identifies challenges to establishing an RSSA system and the high-priority research that should be implemented by NASA and other interested parties in government, industry, and academia to expedite development of such a system\"--Publisher's description.
Book
Safety-I and safety-II
Much more than a technical book. Erik’s work is a well documented journey into the multiple interactions between safety, work and human nature. A timely contribution to vindicate human beings and their variability from the one sided focus on the evils of human error. A groundbreaking look at ‘the other story’ that will certainly contribute to safer and more productive workplaces.
Dr Alejandro Morales, Mutual Seguridad, Chile
Safety needs a new maturity. We can no longer improve by simply doing what we have been doing, even by doing it better. DR Hollnagel brings forth new distinctions, interpretations, and narratives that will allow safety to progress to new unforeseen levels. Safety-II is more than just incident and accident prevention. A must read for every safety professional.
Tom McDaniel, Global Manager Zero Harm and Human Performance, Siemens Energy, Inc., USA
eBook
The killing zone : how and why pilots die
\"This survival guide for beginning pilots with experience ranging from 50-350 hours clearly explains the top twelve pilot killers and how to avoid them\"-Provided by publisher.
Book
An aviation accidents prediction method based on MTCNN and Bayesian optimization
The safety of the civil aviation system has been of increasing concern with several accidents in recent years. It is urgent to put forward a precise accident prediction model, which can systematically analyze safety from the perspective of accident mechanism to enhance training accuracy. Furthermore, the predictive model is critical for stakeholders to identify risk and implement the proactive safety paradigm. In this work, to mitigate casualties and economic losses arising from aviation accidents and improve system safety, the focus is on predicting the aircraft damage severity, the injury/death severity, and the flight phases in the sequence of identifying event risk sources. This work establishes a multi-task deep convolutional neural network (MTCNN) learning framework to accomplish this goal. An innovative prediction rule will be developed to refine prediction results from two approaches: handling imbalanced classes and Bayesian optimization. By comparing the performance of the proposed multi-task model with other single-task machine learning models with ten-fold cross-validation and statistical testing, the effectiveness of the developed model in predicting aviation accident severity and flight phase is demonstrated.
Journal Article
Analysis of civil aviation risk evolution under low-level windshear based on TG-LDA and system dynamics
Low-level windshear poses a severe and unpredictable threat to civil aviation safety. To clarify its risk evolution law, identify key safety-influencing factors, and enhance the system’s proactive prevention and control capabilities, this study combines the Gaussian Function-based Latent Dirichlet Allocation (TG-LDA) with System Dynamics (SD) to establish a civil aviation safety risk evolution model under low-level windshear. First, the TG-LDA model is used for text mining of unsafe event reports to identify risk factors and the degree of influence of each factor. Second, the civil aviation system responding to low-level windshear is divided into three collaborative subsystems: the safety management department, the crew, and air traffic control (ATC). SD simulation is applied to analyze the impact of each subsystem on the overall safety level and determine the key influencing factors.
Journal Article
Assessing the Risk of Uncontrolled Space Debris Re-entry: A Case for Airspace Management and Flight Safety
We explore the risks associated with uncontrolled space debris re-entry and the implications for airspace management and flight safety. With the increasing number of satellites and other objects being launched into space the potential for uncontrolled re-entry events poses a unique challenge for airspace management and public safety. While there have been no recorded instances of aircraft damage or human injury due to re-entering space debris, the increasing frequency of such events necessitates a comprehensive understanding of the associated risks and appropriate mitigation strategies. We briefly examine the current methods for tracking and predicting space debris re-entry, concentrating on the decision-making process for airspace closures, and the risk assessment for ground airborne safety. Our analysis aims to contribute to the ongoing dialogue on space debris management and to inform future policy and operational decisions in the context of civil aviation and public safety.
Journal Article