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The Warsaw Convention of 1929 for the unification of certain rules of international air transport is the basis of the legal regulation of international air transport. Agreements supplementing the Warsaw Convention: Hague Protocol of 1955, Guatemala Protocol of 1971 amending the Warsaw Convention, Guadalajara Convention of 1961, Montreal Protocol for the Unification of Certain Rules Relating to International Carriage by Air (1975). The Montreal Interim Airline Agreement of 1966, the Montreal Agreement of 1999. The set of norms of these agreements as a whole constitutes the Warsaw System of Regulation of International Air Transport. IATA -- a special non-governmental organization, an association of airlines of ICAO member states -- is responsible for determining the specific conditions of international air transportation. On May 28, 1999, a significant event took place in the field of international private air law: as a result of the three-week work of the Diplomatic Conference on Air Law held at the ICAO headquarters with the participation of representatives of 121 states and 11 international aviation organizations, the Convention for the Unification of Certain Rules of International Aviation Law was adopted of air transportation (Montreal Convention of 1999), which defines the basic legal conditions of international air transportation in the 21st century. Scientific and technical progress, the rapid development of international air transport, the increase in the safety of its operation made it necessary to expand the scope and more clearly regulate the responsibility of the carrier. This international Convention is designed to provide firm legal guarantees and an adequate level of compensation to persons injured as a result of aviation events, to create a uniform and clear legal regime of responsibility of air carriers for failure to preserve cargo, baggage and delay during their transportation on international lines. On November 4, 2003, the Montreal Convention entered into force. Among the participants of the Convention are such countries as the USA, Japan, Canada, China, the countries of the European Union, including Ukraine. The article examines the early development of the aviation industry and the role of the Warsaw Convention in the construction of rules and mechanisms aimed at protecting the interests of both the carrier and the passenger or cargo owner. The development of the norms of the Warsaw Convention in various protocols is revealed. Such as the Hague Protocol (1955), the Guadalajara Convention (1961), the Guatemala City Protocol (1971) and the Montreal Four Protocols (1975), which significantly modernized the provisions on air transport regulations, as seen in the Montreal Convention (1999). [ABSTRACT FROM AUTHOR]

The booming air transportation industry inevitably burdens air traffic controllers' workload, causing unexpected human factor-related incidents. Current air traffic control systems fail to consider spoken instructions for traffic prediction, bringing significant challenges in detecting human errors during real-time traffic operations. Here, we present an automation paradigm integrating controlling intent into the information processing loop through the spoken instruction-aware flight trajectory prediction framework. A 3-stage progressive multi-modal learning paradigm is proposed to address the modality gap between the trajectory and spoken instructions, as well as minimize the data requirements. Experiments on a real-world dataset show the proposed framework achieves flight trajectory prediction with high predictability and timeliness, obtaining over 20% relative reduction in mean deviation error. Moreover, the generalizability of the proposed framework is also confirmed by various model architectures. The proposed framework can formulate full-automated information processing in real-world air traffic applications, supporting human error detection and enhancing aviation safety. Current air traffic control systems struggle to consider controlling intent for traffic prediction. Here, authors propose an automation approach integrating controlling intent into the information processing loop through the spoken instruction-aware flight trajectory prediction framework. [ABSTRACT FROM AUTHOR]

According to the World Health Organization (WHO, Ambient (outdoor) air pollution (who), 2020), outdoor air pollution is estimated to have caused 4.2 million premature deaths worldwide in 2019. Under this scenario, the development of statistical tools for assessing the impact of a possible reduction of fossil fuels-based transportation systems on air quality is more relevant than ever. This type of instruments can help policy makers to take the right path to tackle the problem of air pollution in urban environments. Thus, this work proposes a method to evaluate the impact of the reduction of vehicle fleets on air quality. The method is based on the construction of counterfactual time series, which represent observed air pollutants under a treatment of interest. In this case, the treatment of interest are the vehicle fleets on the streets. The construction of the counterfactual time series is based on Bayesian dynamic linear models. Several impact assessment measures are implemented, taking advantage of the counterfactual and observed time series (the observed pollutant without the treatment). The flexibility of the Bayesian approach allows easy inference of the impact quantities via high posterior density intervals. Some simulation analyses show that the method works well under different impact scenarios, and one application regarding Medellin's case in Colombia is presented. For the application, it is shown that the drastic reduction in vehicle fleets during the COVID-19 mobility restrictions led to a significant reduction in the presence of different pollutants ( PM 10 , PM 2.5 , NO 2 , NO x ) [ABSTRACT FROM AUTHOR]

This paper focuses on the applicability of Zermelo's equation within the context of 3D commercial aircraft trajectory optimization problems. The associated optimal control problem includes two singular controls, specifically aerodynamic path angle and throttle setting, and one regular control, specifically heading angle. Using Pontryagin's maximum principle and the direct adjoining method, we show that the optimal heading angle is defined by Zermelo's equation. The significance of the presented analysis is that Zermelo's equation holds for 3D commercial aircraft flights, even in the presence of standard state-inequality constraints and a more general objective function. With the help of Zermelo's equation, the control problem is initially analyzed for a 3D time-optimal climb-phase scenario, which is solved by an indirect approach. Through the analysis of the switching function, we demonstrate the dependency of the optimal aerodynamic path angle on the optimal heading angle. Next, by tackling a 3D time-fuel-optimal free-routing flight, solved by a direct approach, we show that Zermelo's equation can help reduce the overall dimension of the associated nonlinear programming. To successfully handle the initial guess in both indirect and direct problems, it is proposed a diminutive nonlinear programming technique as a fast and robust initializer. This simple-yet-effective initializer provides sufficient information about the optimal controls and state dynamics required for initializing a direct optimization, as well as the optimal switching times and co-states required for initializing an indirect optimization. • Demonstrating the applicability of Zermelo's equation to constrained optimization of 3D aircraft flights. • Solving 3D time-optimal problem in climb phase with Zermelo's identity using an Indirect method. • Solving 3D time-fuel-optimal free-routing problem with Zermelo's identity using a new Direct transcription method. • Brief discussion on aNLP for initialization of both Indirect and Direct methods. [ABSTRACT FROM AUTHOR]

As people travel by air more often, they become more demanding in the services that they expect and the price that they are willing to pay, which can affect their loyalty to a given airline or airport. Air transport companies must gain and retain customers in order to remain competitive. Here we assessed passenger perceptions of air travel service quality using multicriteria satisfaction analysis (MUSA) that may provide deeper insights into consumer behaviour than previous studies. During a three-year period from 2016 to 2018, we assessed perceptions of air travellers using a survey that asked about air travel experiences within Croatia in the year prior to the year of the survey in order to avoid the influence of current feelings. Then we analysed survey responses using MUSA method and found that overall passenger satisfaction depended strongly on service at the departure airport, which many of our respondents judged to be inadequate. We have additionally fine-tuned the improvement priority list by incorporating passenger demand levels. Our results may help guide efforts at air transport companies to improve service quality and to better understand how passengers perceive their services. [ABSTRACT FROM AUTHOR]

The phenomenon of high ice water content (HIWC) occurs in mesoscale convective systems (MCSs) when a large number of small ice particles with typical sizes of a few hundred micrometers, concentrations of the order of 102–103 L-1 , and IWC exceeding 1 gm-3 are present at high altitudes. HIWC regions in MCSs may extend vertically up to 10 km above the melting layer and horizontally up to hundreds of kilometers, filling large volumes of the convective systems. HIWC has great geophysical significance due to its effect on precipitation formation, the hydrological cycle, and the radiative properties of MCSs. It is also recognized as a hazard for commercial aviation operations since it can result in engine power loss and in the malfunctioning of aircraft data probes. This study summarizes observational and numerical simulation efforts leading to the development of a conceptual model for the production of HIWC in tropical MCSs based on the data collected during the HAIC–HIWC campaign. It is hypothesized that secondary ice production (SIP) in the vicinity of the melting layer plays a key role in the formation and sustainability of HIWC. In situ observations suggest that the major SIP mechanism in the vicinity of the melting layer is related to the fragmentation of freezing drops (FFDs). Both in situ data and numerical simulations suggest that the recirculation of drops through the melting layer led to the amplification of SIP. The proposed conceptual model and simulation results motivate further efforts to extend reproducible laboratory measurements. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic affected countries across the globe, demanding drastic public health policies to mitigate the spread of infection, which led to economic crises as a collateral damage. In this work, we investigate the impact of human mobility, described via international commercial flights, on COVID-19 infection dynamics on a global scale. We developed a graph neural network (GNN)-based framework called Dynamic Weighted GraphSAGE (DWSAGE), which operates over spatiotemporal graphs and is well-suited for dynamically changing flight information updated daily. This architecture is designed to be structurally sensitive, capable of learning the relationships between edge features and node features. To gain insights into the influence of air traffic on infection spread, we conducted local sensitivity analysis on our model through perturbation experiments. Our analyses identified Western Europe, the Middle East, and North America as leading regions in fueling the pandemic due to the high volume of air traffic originating or transiting through these areas. We used these observations to propose air traffic reduction strategies that can significantly impact controlling the pandemic with minimal disruption to human mobility. Our work provides a robust deep learning-based tool to study global pandemics and is of key relevance to policymakers for making informed decisions regarding air traffic restrictions during future outbreaks. [ABSTRACT FROM AUTHOR]

Objective: This paper aims at identifying the factors influencing performance in basic flight simulators in the selection of ab initio pilot candidates and to determine the incremental value of these flight simulators in predicting performance in flight training. Background: Several factors such as cognitive ability, personality, and demographic information are discussed to be associated with performance in basic flight simulators. Many commercial flight operations tend to refrain from using flight simulators in the selection of ab initio pilot candidates in favor of less expensive test batteries. Method: Study 1 uses 4,340 candidates in the selection of major European airlines to investigate the factors influencing performance in the basic flight simulator. Study 2 then uses 1,753 candidates to evaluate the incremental validity of the basic flight simulator in predicting issues in flight training. Results: Multiple task ability, gender, and previous flight experience are the strongest predictors of performance in the basic flight simulator. Still, the flight simulator shows significant incremental validity in predicting problems in flight training. Conclusion: These findings seem to justify the additional use of a basic flight simulator in the selection of ab initio pilot candidates. Despite a strong correlation with more economical multiple task ability tests, the flight simulator still shows incremental validity in predicting success in flight training. [ABSTRACT FROM AUTHOR]

The interactions between high-speed rail (HSR) and air transportation systems constitute a complex, evolving integral component of our modern transportation landscape. Over recent decades, changes in travel patterns and growing environmental concerns, spurred by advancements in railway technology, have significantly influenced the dynamics of these two transportation modes. While previous reviews on this subject have provided seminal insights, there is a necessity for a novel synthesis of research findings in recent years, given that extant reviews have covered the evolving landscape until the year 2018 only. This review critically evaluates the latest literature to analyze five aspects regarding air/HSR interactions: Modal integration/modal competition, bi-directional impacts, emission aspects, robustness/resilience perspectives, and some other related work. In addition, we propose a set of ten challenging research questions, highlighting the need for concerted research efforts, considerations of more practical decision factors, and evidence-based policy making to foster a sustainable and resilient integration of air/HSR systems in the 21st century. • We review interactions between high-speed rail and air transportation. • Our baseline are four surveys in the extant literature. • Papers published since the year 2018 are focus of our investigation. • We conclude with a discussion of ten unique challenges for future work. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Purpose: Managers of public organizations in liberalized sectors face the dual imperative of retaining skilled employees who might be poached by commercial competitors and improving service performance levels without a free hand to invest resources. While employee work engagement (EWE) has been previously suggested as a solution to such management challenges, limitations in its ability to retain employees have been identified. We therefore examine how a social identity crafting (SIC) approach to public leadership that confers a sense of group identity among team members can enhance and extend beyond EWE in addressing this dual imperative. Design/methodology/approach: We report findings from a survey of employees (n = 199) at "ATCO," a state-owned national airline that is facing challenges from commercial rivals within a new, competitive environment. Findings: We confirm previously identified limitations of EWE and, further, demonstrate that a social identity approach to leadership offers a promising avenue for public managers, not only by enhancing employee engagement but, more importantly, by enhancing retention and service performance. Originality/value: We contribute to studies of leadership, particularly for managers operating in the public sector and resource-constrained environments, demonstrating how SIC, which does not require costly investment to attain, can deliver improved service performance and reduced employee turnover intention, operating beyond EWE, which reaches a plateau in respect of the latter. [ABSTRACT FROM AUTHOR]

This editorial discusses the importance of preparing communities, cities, and nations for extreme flooding events. It highlights the need to adapt infrastructure to be more resilient, while acknowledging the tradeoff between efficiency and resilience. The editorial provides examples of infrastructure failures during past flooding events and discusses the challenges of adapting critical infrastructure systems to a changing climate. The document includes articles that explore different approaches to managing flood risk, the use of satellite data for monitoring and warning systems, and the vulnerability of industrial process facilities to flood damage. The authors emphasize the need for comprehensive solutions that consider uncertainties and involve collaboration between academia and the public and private sectors. The text also mentions the challenges of developing protective infrastructures, retrofitting existing infrastructures, and considering implications throughout the lifecycle. [Extracted from the article]

Disruptive passenger behaviour (DPB) incidents spiked during the COVID-19 pandemic period, compromising the safety of commercial flights on a daily basis. This qualitative semi-structured interview study examined the perceived triggering factors and motivations for DPB and the subsequent impact of DPB upon cabin crew well-being and safety. Twenty-four European cabin crew disclosed experiences, subjective observations of perpetrator traits, assessment of DPB development and information regarding their well-being and perceived safety. Thematic analysis revealed that the perceived frequency of DPB had increased, driven by an accumulation of pandemic-related factors – such as enforcing mask wearing amongst intoxicated passengers. DPB was found to decrease resilience and spur maladaptive coping strategies in crew. Suggested enhancements to current DPB mitigation consisted of stricter punishment for DPB as a deterrent, alcohol bans and higher quality training. These findings can inform decision-makers’ efforts to support cabin crew well-being and create safer cabin workplaces in the future. [ABSTRACT FROM AUTHOR]

Background: Flight attendants face various risk factors in their working environments, particularly occupational exposure to cosmic radiation. This study aimed to assess cancer risk among air transportation industry workers, including flight attendants, in Korea by constructing a cohort using national health registry-based data and analyzing cancer incidence risk. Methods: We used the Korea National Health Insurance Service database from 2002 to 2021 to construct a cohort of 37,011 workers in the air transportation industry. Cancer incidence was defined using the tenth version of the International Classification of Diseases. We calculated the age- and sex-specific standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) by applying the cancer incidence rate of the general population between 2002 and 2019. Results: Approximately 5% of the cohort developed cancer. Overall, the cancer incidence in the cohort was similar to or lower than that of the general population, with the SIRs for all cancers being lower. However, significantly higher SIRs were observed for nasopharyngeal cancer (SIR, 3.21; 95% CI, 1.71–5.48) and non-Hodgkin lymphoma (SIR, 1.57; 95% CI, 1.02–2.32) in male workers and breast and genital cancer (SIR, 1.51; 95% CI, 1.34–1.70) and thyroid cancer (SIR, 1.25; 95% CI, 1.05–1.47) in female workers. Conclusions: The lower overall cancer incidence among air transportation industry workers observed in this study could indicate the "healthy worker effect"; however, the incidences of certain cancers were higher than those in the general population. Given that these workers are exposed to multiple occupational and lifestyle-related risk factors, including cosmic radiation, further studies are necessary to determine radiation-induced cancer risk while considering potential confounding factors. [ABSTRACT FROM AUTHOR]

AbstractWith the continuous maturation of technology and the deepening of human-centered design philosophy, eye tracking technology has gradually been applied in research studies for the optimization of flight deck design in commercial aviation. While these studies have focused solely on Pilot Flying (PF), without considering the visual attention distribution of Pilot Monitoring (PM). The purpose of this study was to analyze and compare the visual attention distribution of PF and PM during different flight phases, providing more comprehensive guidance and optimization suggestion to the flight deck design in commercial aviation. This study was conducted in the A320 full-motion flight simulator, with eye tracking technology recording eye movements of PF and PM in the same flight crew simultaneously. The result showed significant differences in three eye movement metrics between PF and PM, not only throughout the whole common manual circuit but also within specific flight phases. Additionally, the results indicated that in certain flight phases, PF and PM exhibited statistically significant correlations in certain eye movement metrics for specific areas of the flight deck. However, in most other instances, no statistically significant correlations were observed between the eye movement metrics of PF and PM. Therefore, the future design of flight decks may benefit from considering differentiation between PF and PM sides in certain flight phases or areas. Additionally, it can be beneficial to make dynamic adjustments to the current flight deck display and control interface while maintaining the existing layout design. [ABSTRACT FROM AUTHOR]

Aims: This report documents the exposure of passengers and crew of a commercial international flight to the zoonotic pathogen Brucella canis after an infected dog aborted in the passenger cabin of the aircraft. This case demonstrates the challenges associated with brucellosis screening and the risks that airline personnel, airport employees and travellers face when animals with unrecognized zoonotic infections are transported. Methods/Results: The public health investigation of this case was conducted by the Centers for Disease Control, the Illinois Department of Health and the Illinois Department of Agriculture, in collaboration with a local veterinary clinic and several academic and federal diagnostic laboratories. It included an extensive diagnostic evaluation of the dam and aborted foetuses to confirm a diagnosis of canine brucellosis. Passengers, airline personnel and staff from the veterinary clinic where the dogs were treated underwent risk assessments, and clinic staff also received detailed guidance regarding infection prevention practices. Conclusions: Animal shelters and breeding programs are recommended to screen dogs routinely for brucellosis, but it is not unusual for domestic or imported animals to have unknown health histories, including the dog's brucellosis status, at the time of purchase, adoption, or re‐homing. Testing recommendations and requirements vary by state, making it challenging for state public health and animal health agencies to monitor and respond appropriately. This case highlights the importance of Brucella spp. screening in sexually intact dogs prior to breeding, purchase, or domestic or international transportation of the dogs. The transportation of pregnant dogs may present a previously unrecognized public health threat in addition to contributing to unnecessary stress and health risks for pregnant animals. [ABSTRACT FROM AUTHOR]

Aviation is a contributor to global warming. Hydrogen-powered aircraft are seen as an important option to decarbonise parts of commercial aviation. Airports have a pivotal role in facilitating the development of ground infrastructure. This paper provides a broader perspective on the supply and handling of liquid hydrogen, and necessary airport developments, to enable hydrogen-powered aviation. Hydrogen-related airport development projects at Rotterdam The Hague Airport (RTHA) are presented and discussed, and a detailed overview of the airport's liquid hydrogen (LH2) storage facility is given. To link the ongoing developments to future needs, a LH2 demand scenario for RTHA is determined for the years 2040 and 2050. Based on this demand, analysis of levelised cost of hydrogen for relevant value chains were conducted. This study exemplifies that the LH2 value chain for an airport depends on individual characteristics of the airport and its surroundings. The hydrogen demand, the airport's proximity to larger hydrogen hubs (import and/or production hubs) and the availability of local renewable resources, which influence electricity price and hydrogen production and liquefaction costs, are key parameters and heavily influence the airport LH2 value chain. Conceptualisation and future development of hydrogen infrastructure for airport supply should take into account the above factors. LH2 demand at RTHA in the year 2050 is predicted to range between 8–14kt. Under the given electricity price assumptions, local production and liquefaction of hydrogen at the airport is not seen as a viable option, as cost savings can be achieved by making use of the Port of Rotterdam's large hydrogen production and import cluster nearby. The work shows that trailer-based logistics for both the delivery of LH2 to the airport and subsequent usage of these trailers in the storage and dispensing process at the airport seems the most viable for RTHA (and airports that show similarities). This further indicates that current small-scale LH2 demonstration at airports provides important lessons for scaling up. [ABSTRACT FROM AUTHOR]

There is a growing risk to aircraft in flight from collisions with debris produced by the breakup of uncontrolled rocket bodies and satellites during atmospheric reentry. On one hand, the aviation industry has grown to almost 39 million flights per year, with a 63 % increase between 2004 and 2019. On the other hand, the number of successful rocket launches more than doubled between 2015 and 2023, from 87 to 212, respectively. During those 212 launches in 2023, 128 rocket bodies were abandoned in orbit, left to reenter uncontrollably. Such uncontrolled space object reentries are hard to predict, making mitigation measures difficult. In November 2022, a reentering Long March 5B rocket caused the closure of airspace over Europe, delaying 645 flights and having a plausible economic impact of millions of Euros. There are international and domestic laws that might enable the recovery of economic losses resulting from uncontrolled reentries, but such losses should not be allowed to occur in the first place. Instead of leaving the location of a reentry to chance, controlled reentries can be achieved with existing technologies and mission designs, directing reentries away from areas of high aircraft traffic. Moving to a controlled reentry regime would create a cost to space operators – but that cost is currently being externalized to the aviation industry. Multilateral solutions to create a controlled reentry regime should be pursued, as recommended in the 2023 Montreal Recommendations on Aviation Safety and Uncontrolled Space Object Reentries, before there is a tragedy caused by an aircraft collision with debris from a rocket body or satellite. • As the number of rocket launches and commercial aircraft flights increase, the probability of a catastrophic collision between an aircraft and reentering space debris is also growing. • Technologies and mission designs exist to enable all rocket bodies to be returned to Earth in a controlled manner, eliminating the casualty risk. • From a broad economic perspective, space companies are externalizing some of their risks and costs and imposing them on the aviation industry. • States are liable for damage caused by reentering space objects and could be liable for the economic costs caused by precautionary airspace closures. • The 2023 Montreal Recommendations offer actionable steps to reduce the risk of collisions between space debris and aircraft. [ABSTRACT FROM AUTHOR]

This article examines the films "Sully" and "Flight" and their portrayal of prevailing ideologies. Released during Barack Obama's presidency, both films focus on skilled pilots rather than passengers. "Sully" presents a white male hero who opposes regulation, while "Flight" features an African American antihero who finds redemption in jail. Both films affirm mainstream ideologies of individualism and redemption, while also highlighting the challenges and contradictions within the United States. The article argues that both films ultimately reinforce American nationalism and fail to address the social and political realities of their time. [Extracted from the article]

The Konfrontasi (Indonesia-Malaysia Confrontation) signaled the first combat deployment of the Australian Special Air Service Regiment (SASR). Between 1965 and 1966, two SASR squadrons were deployed and involved in secretive Claret Operations. The SASR's operations were concentrated in the jungles of Borneo, along the porous and mountainous borders of Sarawak and Indonesia's Kalimantan. The SASR had conducted reconnaissance missions collecting intelligence and track-and-ambush missions inside Indonesia's territory. The SASR was also involved in 'hearts and minds' campaigns, building trust and partnerships with local aborigines in remote jungle areas to serve as friendly informers. This article assesses the tactical and strategic impact of SASR's operations on the campaign's overarching grand strategy. The SASR's strategic value in the Konfrontasi albeit limited at the tactical level, yielded handsome strategic utility with lasting political benefits for Australia and Malaysia. This article provides a balanced evaluation of SASR's performance and lessons for contemporary special forces operations. [ABSTRACT FROM AUTHOR]

Human-centered artificial intelligence (HCAI) needs to be able to adapt to anticipated user behavior. We argue that the anticipation capabilities required for HCAI adaptation can be modeled best with the help of a cognitive architecture. This paper introduces an ACT-R cognitive model that uses instance-based learning to observe and learn situations and actions in the form of mental models. These mental models enable the anticipation of the behavior of individual users. The model is applied to a use case of automation surprise in commercial aviation to test how anticipation can best be modeled for cockpit applications. Empirical data from a flight simulator study including behavioral, neurophysiological and eye-tracking measures from 13 pilots were used to evaluate the model. Results show that the accuracy of the model is significantly higher than chance, demonstrating that combining context information, user state data and a cognitive model can enable HCAI adaptation based on anticipated user behavior. [ABSTRACT FROM AUTHOR]

Unmanned aerial vehicles (UAVs) are increasingly significant in modern warfare due to their versatility and capacity to perform high-risk missions without risking human lives. Beyond surveillance and reconnaissance, UAVs with jet propulsion and engagement capabilities are set to play roles similar to conventional jets. In various scenarios, military aircraft, drones, and UAVs face multiple threats while ground radar systems continuously monitor their positions. The interaction between these aerial platforms and radars causes temporal fluctuations in scattered echo power due to changes in aspect angle, impacting radar tracking accuracy. This study utilizes the potential radar cross-section (RCS) dynamics of an aircraft throughout its flight, using ground radar as a reference. Key factors influencing RCS include time, frequency, polarization, incident angle, physical geometry, and surface material, with a focus on the complex scattering geometry of the aircraft. The research evaluates the monostatic RCS case and examines the impact of attitude variations on RCS scintillation. Here, we present dynamic RCS modeling by examining the influence of flight dynamics on the RCS fluctuations of a UAV-sized aircraft. Dynamic RCS modeling is essential in creating a robust framework for operational analysis and developing effective countermeasure strategies, such as advanced active decoys. Especially in the cognitive radar concept, aircraft will desperately need more dynamic and adaptive active decoys. A methodology for calculating target aspect angles is proposed, using the aircraft's attitude and spherical position relative to the radar system. A realistic 6DoF (6 degrees of freedom) flight data time series generated by a commercial flight simulator is used to derive aircraft-to-radar aspect angles. By estimating aspect angles for a simulated complex flight trajectory, RCS scintillation throughout the flight is characterized. The study highlights the importance of maneuver parameters such as roll and pitch on the RCS measured at the radar by comparing datasets with and without these parameters. Significant differences were found, with a 32.44% difference in RCS data between full maneuver and no roll and pitch changes. Finally, proposed future research directions and insights are discussed. [ABSTRACT FROM AUTHOR]

Current research efforts on commercial supersonic flight aim to overcome past challenges by designing a new generation of sustainable supersonic airplanes. Achieving this goal requires careful consideration of the propulsion system during the design process. This study proposes a mixed-flow turbofan engine model coupled with emission estimation routines to increase the reliability of the conceptual design of future supersonic aircraft. The model enables parametric analyses by analyzing variations in main engine design parameters ( π c , π f ,   B P R ) as function of the system and mission requirements, such as the Mach number, and suggesting applicability boundaries. The overall methodology was applied to a low-boom Mach 1.5 case study, allowing for both on-design and off-design analyses and generating a propulsive database to support preliminary mission simulations and chemical emission estimation. Finally, the accuracy and reliability of the engine model was validated against GSP 11 data for a generic mixed-flow turbofan engine. A modified version of the Fuel Flow Method, originally developed by Boeing, allows for emissions estimation throughout the mission for a supersonic engine using biofuels. The application of the methodology led to the definition of an engine with a π c   of 30 and BPR of 0.7 for the selected case study, which was successful in meeting the initial mission requirements. [ABSTRACT FROM AUTHOR]

This research provides a current benchmark of the cognitive skills and cognitive processes needed for flight path management (FPM) in current commercial air transportation flight operations. While some cognitive skills for aviation have been identified, it remains unclear which skills are most pertinent for different phases of flight, for different tasks, across different aircraft types, and during operational complexity. Further, there is concern that flight deck automation may contribute to cognitive skill degradation. Two expert pilots participated in cognitive walkthroughs to establish a current benchmark of the cognitive skills and cognitive processes needed for FPM. The tasks involved seven different phases of flight and two different aircraft; the results from two phases are reported--Preflight Briefing and Initial Climb. The findings indicate nineteen cognitive skills, and three metacognitive skills are used by pilots for FPM. In addition, the cognitive process models needed for FPM are all very similar, regardless of the aircraft type, task, phase of flight, or increased operational complexity. These results provide a foundation for future efforts on cognitive skill degradation, training of FPM cognitive skills, and may be used to inform the design of new automated systems to support pilot cognition. [ABSTRACT FROM AUTHOR]

Until recently, electrified aircraft propulsion (EAP) technology development has been driven by the dual objectives of reducing greenhouse gas (GHG) emissions and addressing the depletion of fossil fuels. However, the increasing severity of climate change, posing a significant threat to all life forms, has resulted in the global consensus of achieving net-zero GHG emissions by 2050. This major shift has alerted the aviation electrification industry to consider the following: What is the clear path forward for EAP technology development to support the net-zero GHG goals for large commercial transport aviation? The purpose of this paper is to answer this question. After identifying four types of GHG emissions that should be used as metrics to measure the effectiveness of each technology for GHG reduction, the paper presents three significant categories of GHG reduction efforts regarding the engine, evaluates the potential of EAP technologies within each category as well as combinations of technologies among the different categories using the identified metrics, and thus determines the path forward to support the net-zero GHG objective. Specifically, the paper underscores the need for the aviation electrification industry to adapt, adjust, and integrate its EAP technology development into the emerging new engine classes. These innovations and collaborations are crucial to accelerate net-zero GHG efforts effectively. [ABSTRACT FROM AUTHOR]

This paper focuses on the neglected subject of the beginnings of civil aviation in Nigeria in the aftermath of World War I. Until now, the literature on civil aviation in British colonial Africa had focused largely on Kenya, Central and South Africa and on post-World War II West Africa. This paper, relying on previously unexploited archival material, examines policy debates and options considered by the Colonial Office, the Air Ministry and the Nigerian colonial government. The unique, pioneering aviation drive of Nigeria's Governor Hugh Clifford took place in the context of immediate post-World War I dynamics: economic vicissitudes, Anglo-French rivalry in West Africa and the policy interface between London and the colonies. This paper demonstrates that aviation development in Nigeria had roots in the early 1920s, and that the initiative was not a metropolitan monopoly, thereby illustrating the extent of colonial gubernatorial autonomy vis-à-vis London. [ABSTRACT FROM AUTHOR]

The Airbus A380 was initially expected to replace existing aircraft due to its remarkable fuel efficiency on long-haul routes when operating with a full passenger load. However, recent changes in the commercial aviation environment have resulted in a decrease in demand for four-engine aircraft. Rising fuel prices have pushed airlines to focus on more efficient operations, while manufacturers prioritize producing advanced twin-engine aircraft. The debate over the long-term economic viability of A380 operations remains ongoing. This study compares and evaluates the fuel efficiency of the Airbus A380 and the Airbus A350 using actual flight data. The analysis employs a fuel efficiency prediction model to compare scenarios based on identical payload and load factor. Results indicate that the A350 is approximately twice as fuel efficient as the A380 under the same payload and about 1.34 times more efficient under the same load factor. The A380's economic viability is analyzed by considering the balance between revenue per available ton-kilometer (RASK) and cost per available ton-kilometer (CASK). If the A380's RASK is significantly higher than 1.34 times the A350's or exceeds its own CASK, it can sustain operations. Achieving a balance between RASK and CASK is essential for the economic sustainability of A380 operations. [ABSTRACT FROM AUTHOR]

The study applied the Technology Acceptance Model (TAM) to assess trust in artificial intelligence (AI) within the US commercial aviation industry. It found that ease of use and usefulness positively influenced attitudes toward AI, impacting users' intention to use it. However, perceived usefulness did not significantly affect meaning, purpose, and mood positively correlated with trust in AI. In some cases, higher perceived usefulness led to lower trust, indicating the complexity of trust in AI in aviation. This study highlights the importance of trust in AI and suggests the need for further investigation in the aviation context. It also recommends expanding the framework of trustworthy AI to consider factors like algorithm transparency, explainability, and fairness for a more comprehensive understanding. [ABSTRACT FROM AUTHOR]

Purpose: Automatic dependent surveillance-broadcast (ADS-B) is the foundational technology of the next generation air transportation system defined by Federal Aviation Authority and is one of the most precise ways for tracking aircraft position. ADS-B is intended to provide greater situational awareness to the pilots by displaying the traffic information like aircraft ID, altitude, speed and other critical parameters on the Cockpit Display of Traffic Information displays in the cockpit. Unfortunately, due to the initial proposed nature of ADS-B protocol, it is neither encrypted nor has any other innate security mechanisms, which makes it an easy target for malicious attacks. The system is vulnerable to various active and passive attacks like message ingestion, message deletion, eavesdropping, jamming, etc., which has become an area of concern for the aviation industry. The purpose of this study is to propose a method based on modified advanced encryption standard (AES) algorithm to secure the ADS=B messages and increase the integrity of ADS-B data transmissions. Design/methodology/approach: Though there are various cryptographic and non-cryptographic methods proposed to secure ADS-B data transmissions, it is evident that most of these systems have limitations in terms of cost, implementation or feasibility. The new proposed method implements AES encryption techniques on the ADS-B data on the sender side and correlated decryption mechanism at the receiver end. The system is designed based on the flight schedule data available from any flight planning systems and implementing the AES algorithm on the ADS-B data from each aircraft in the flight schedule. Findings: The suitable hardware was developed using Raspberry pi, ESP32 and Ra-02. Several runs were done to verify the original message, transmitted data and received data. During transmission, encryption algorithm was being developed, which has got very high secured transmission, and during the reception, the data was secured. Field test was conducted to validate the transmission and quality. Several trials were done to validate the transmission process. The authors have successfully shown that the ADS-B data can be encrypted using AES algorithm. The authors are successful in transmitting and receiving the ADS-B data packet using the discussed hardware and software methodology. One major advantage of using the proposed solution is that the information received is encrypted, and the receiver ADS-B system can decrypt the messages on the receiving end. This clearly proves that when the data is received by an unknown receiver, the messages cannot be decrypted, as the receiver is not capable of decrypting the AES-authenticated messages transmitted by the authenticated source. Also, AES encryption is highly unlikely to be decrypted if the encryption key and the associated decryption key are not known. Research limitations/implications: Implementation of the developed solution in actual onboard avionics systems is not within the scope of this research. Hence, assessing in the real-time distances is not covered. Social implications: The authors propose to extend this as a software solution to the onboard avionics systems by considering the required architectural changes. This solution can also bring in positive results for unmanned air vehicles in addition to the commercial aircrafts. Enhancement of security to the key operational and navigation data elements is going to be invaluable for future air traffic management and saving lives of people. Originality/value: The proposed solution has been practically implemented by developing the hardware and software as part of this research. This has been clearly brought out in the paper. The implementation has been tested using the actual ADS-B data/messages received from using the ADS-B receiver. The solution works perfectly, and this brings immense value to the aircraft-to-aircraft and aircraft-to-ground communications, specifically while using ADS-B data for communicating the position information. With the proposed architecture and minor software updates to the onboard avionics, this solution can enhance safety of flights. [ABSTRACT FROM AUTHOR]