Air Transport Research Articles

Advanced Storage Systems for Electric Mobility

Electrified vehicles (EVs) are increasingly integrated into modern air, road, and water transportation systems [...]

Numerical methods for optimizing logistics systems in the process of inventory management

Scientists have always faced the task of evaluating the effectiveness of the functioning of complex systems, which unambiguously include logistics systems of transport (water, air, rail, automobile and their combinations) and stocks of products (goods), which (stocks of goods) are in static (warehouses) and dynamic (transport) states over time. A huge amount of theoretical material has been accumulated in this field of knowledge, which has been repeatedly tested and successfully applied, especially in relation to logistics systems. However, as is known, on the basis of an efficiency assessment, similar systems are compared, the operation of the systems is promptly evaluated, the system's compliance with its purpose is checked, the presence or absence of targeted targeting is found out, etc. Hence, the relevance of the mathematical apparatus (numerical methods) for optimizing stocks of products (goods) is determined as a calculation for reasoned decision-making on effective inventory management using transport and storage capacities on an economic basis: the objective function is to minimize costs. Cost reduction in the processes of functioning of logistics systems due to the action of two basic laws – the law of saving time and the law of conservation of energy is one of the main modern directions for increasing their efficiency as complex systems [1-5]. Therefore, the optimization of logistics systems according to the criterion of costs (losses) in the processes of their functioning is defined as the formulation of the research task. The aim of the work is to develop the application of numerical methods for optimizing logistics systems in the process of inventory management. The novelty consists in the application of numerical methods and the calculated ratios obtained, which can be used in the practice of the logistics system of water, air, rail and road transport for inventory management by optimizing the determined losses (costs). The result consists in the developed method of studying theoretically calculated losses occurring in the processes of functioning of logistics systems of all types of transport and their combinations (hereinafter transport). The theoretical significance of the results obtained is the development of the application of numerical methods for optimizing logistics systems in the process of inventory management, including: a set of factors and criteria for optimizing logistics processes; a method for modeling and optimizing the processes of functioning of logistics transport systems; a method for analyzing losses in the processes of functioning of logistics transport systems. These theoretical provisions make it possible to optimize the processes of functioning of logistics transport systems and, ultimately, to increase the efficiency of providing consumers, which is of important socio-economic importance.

Simulation-Based Optimization for Vertiport Location Selection: A Surrogate Model With Machine Learning Method

We present Vertiport-informed Surrogate-Based Optimization with Machine Learning Surrogates (VinS), a novel framework for solving the vertiport location problem for urban air mobility operations. The primary focus of this work is on the optimization of vertiport locations to facilitate efficient urban air transportation. Our framework helps choose not only the optimal vertiport locations but also the optimal number of vertiports. We develop a simulation model to analyze the impacts of various vertiport location configurations on the efficiency of the transportation network. To expedite the simulation process, a surrogate model is trained using machine learning algorithms, effectively reducing the computational time for evaluating a given vertiport location configuration. With the machine learning surrogate models, we apply a genetic algorithm to find the optimal set of vertiport locations. An empirical study was performed in the San Francisco Bay Area, from which we found that given the optimal set of vertiport locations, we further reduced the total travel time in the entire transportation system in the Bay Area compared with the sampled sets by 0.05% (400 h) on average. We release our framework at: https://github.com/Xuan-1998/LPSim .

Paediatric donor lung preservation using Paragonix BAROguard.

Paediatric lung transplantation is a lifesaving option in selected patients with end-stage lung disease. Favourable long-term outcomes are limited by impaired mucus clearance, increased risk of infection resulting from immunosuppression, and chronic lung allograft dysfunction. Organ preservation techniques play an important role in the quality of donated organs. Barotrauma to donated lungs may arise from a combination of excessive recruitment manoeuvres and altitude change during air transportation. The Paragonix BAROguard Donor Lung Preservation System is an FDA-approved advanced organ recovery system that maintains continuous airway pressure of 15 cm of water during transportation of the donated lung(s) to the recipient. The Paragonix LUNGguard monitors temperature during transportation of donor lung(s), while the new BAROguard monitors both temperature and pressure during transportation of donor lung(s). In this publication, we present technical aspects of advanced preservation of paediatric donor lungs using the Paragonix BAROguard Donor Lung Preservation System.

Low-altitude intelligent transportation: System architecture, infrastructure, and key technologies

In the context of the burgeoning low-altitude economy, low-altitude intelligent transportation (LAIT) has emerged as the focal point of research. This study comprehensively explores the current state, challenges, and future development prospects of LAIT from three key aspects: system architecture, infrastructure, and critical technologies. First, we propose a future LAIT system framework based on a cyber-physical system (CPS) layered architecture to provide a potential solution for urban air transport. Second, we introduce a framework for the entire lifecycle and management chain of the LAIT system, offering an in-depth analysis of each stage from design, construction, and operation to management, with the aim of realizing intelligent management and operation of low-altitude transportation. Finally, this study discusses the technical, security, and social challenges that future LAIT will face in the context of Industry 4.0, while envisioning the pathways of technological innovation. It summarizes the need for advanced infrastructure and breakthroughs in key technologies such as the Internet of Things (IoT), 6G, artificial intelligence (AI), and low-altitude geographic information system. This study provides a systematic framework and technical guidelines for the future development of low-altitude intelligent transportation, supporting continuous innovation, and upgrading the low-altitude economy.

A state-of-the-art assessment in developing advanced concrete materials for airport pavements with improved performance and durability

Concrete materials, as the main component of airport pavement, provide essential attributes such as strength and toughness required by airport pavement. With the rapid development of air transportation, the compression and cracking resistance performances required by airport pavement are dramatically boosted with the ever-growing weight and the frequency of aircraft. In recent years, high-performance concrete materials with excellent properties have shown great potential in improving durability and extending the service life of pavement. This review presents a-state-of-the-art assessment guided by the pavement performance requirement, material design mechanism, application cases and future application guidance of advanced cementing materials in airport pavement improvement. Firstly, the functions of each structural layer of airport pavement and their effects on the surface layer are summarized. Then, the design mechanism and application cases of advanced concrete materials were summarized with the future application guidance to be given. Finally, the application scenarios, testing mechanism and testing effect of nondestructive testing methods for airport pavement performance evaluation are summarized. This review provides a comprehensive assessment of the development and applications of advanced concrete materials for airport pavement, paving avenue to achieve high performance and long service life of airport pavement.

The air transport research society world conference: A data science-based literature review on the years 2014–2024

The Air Transport Research Society (ATRS) World Conference is one of the major venues for air transport research. The conference covers a wide range of research talks, practice/industrial sessions, and research workshop activities. In this paper, we perform a data-driven analysis of the research abstracts that have been accepted and presented at the conference since 2014. We have grouped the abstracts from the ten annual conferences using t-distributed stochastic neighbor embedding to map high-dimensional keyword vectors into a two-dimensional plane for clustering, analysis, and visualization. The major focus of our study concerns three directions. First, we provide a formal description of the actual research presented at the ATRS World Conference series by using methods from natural language processing and machine learning, leading to a data-driven classification consisting of 35 major subject categories. Second, we analyze the origin of main authors/presenters and their background, including their institutions and countries of origin. Third, we perform a network-driven analysis of co-authorships across abstracts to identify the role and importance of key researchers in the community. Finally, we provide an analysis of popular research topics indicated by authors when submitting their abstracts, and a set of major recommendations for future work, based on the insights obtained from our study.

Factors Affecting The Number Of Domestic Flights In Indonesia During Covid-19 Pandemic Using SARIMAX Method

Indonesia, which consists of thousands of large and small islands, relies heavily on-air transportation to support mobility between regions. As many as 80% of Indonesia's total air transportation passengers are domestic flight passengers. This shows how vital domestic flights are in Indonesia's air transportation system. However, in 2020, the COVID-19 pandemic had an impact that resulted in a decrease in the number of domestic flights in Indonesia. Therefore, an analysis is needed to determine the factors that affect the number of domestic flights in Indonesia. This study uses the SARIMAX method, a time series regression with the addition of seasonal factors and other variables or exogenous factors that significantly affect the model to improve the model's accuracy. Several exogenous variables are considered, including the number of operating civil aviation airports, positive daily cases of COVID-19, calendar effects during Eid al-Fitr and New Year's Day, and social restriction policies. The results showed that the number of operating airports one week before Eid al-Fitr, one week during Eid al-Fitr, one week before New Year, and Emergency PPKM significantly influenced the number of domestic flights. These variables offer pivotal insights into the influence of external factors on domestic flight patterns, exerting significant impacts on passenger travel behavior and subsequently influencing domestic flight volume. The integration of these variables in the SARIMAX model allows for a comprehensive analysis of the complex dynamics influencing domestic air travel in Indonesia. The best SARIMAX model obtained is SARIMAX (1,1,1)(4,1,1)7 with a MAPE value of 5.35% and a coefficient of determination is 97%.

A Survey of Image Enhancement and Dehazing Algorithms to Improving Autonomous Navigation in Fog and Dust.

Video captured during sand-dust weather conditions indicates significant degradation, diminished contrast, and pronounced color distortion. The reason behind this phenomenon is the impact of sand-dust particles, which result in the dispersion and assimilating of light. Consequently, resultant image seems blurred and lacks contrast. Additionally, the alteration in color is attributed to the swift reduction of blue light. Adverse weather circumstances, such as fog, sand, and dust storms, cause problems with vision for deploying self-driving automobiles. To guarantee secure and seamless operations during frequent adverse weather conditions, video enhancement plays a vital role in facilitating vehicular mobility and navigational in both road and air transportation. To improve the safety and efficiency of operation, it is imperative to employ video dehazing techniques, particularly in adverse weather conditions. The purpose of our overview is to offer interested researchers a thorough and methodical examination of image enhancement approaches, serving as an important point of reference for their work. The text explored different image enhancement methods, along with the challenges, constraints, advantages, and drawbacks associated with using these techniques throughout the past five years. Specifically, it focused on three aspects: supervised algorithms, unsupervised algorithms, and quality evaluation.

COMPARISON OF THE IMPACT OF THE COVID-19 PANDEMIC AND TECHNOLOGICAL DEVELOPMENTS ON EMISSIONS OF CO2 IN THE AIR TRANSPORT

Air transport is a complex and intricate mode of transportation that has both benefits and consequences resulting from the operations of planes. Air travel offers the advantage of saving time during journeys or business visits, but it also has the disadvantage of contributing to carbon dioxide emissions caused by aircraft operations. These emissions present potential risks to both human health and the environment. In order to reduce the negative impacts, new technical advancements can be utilized to limit emissions and, consequently, the discharge of carbon dioxide. The COVID-19 epidemic caused an unprecedented situation where flights were temporarily suspended and aircraft were grounded, leading to a significant decrease in emissions from airline operations. This research utilizes graphical representations to clarify the main factors that lead to reduced carbon dioxide emissions. Moreover, it examines the effects of particular advancements in air transportation and assesses the impact of the pandemic on the overall decrease in emissions.

Impacts of moisture transport on extreme precipitation in the Central Plains Urban Agglomeration, China

In recent decades, the Central Plains Urban Agglomeration of China (CPUA) has faced recurring extreme precipitation events (EPEs), leading to severe floods, endangering residents, and causing significant property damage. This study examines the spatiotemporal patterns of summer EPEs in the CPUA from 1961 to 2022. We used the Hybrid Single-Particle Lagrangian Integrated Trajectory model to trace the water vapor trajectories associated with these events, identifying atmospheric circulations linked to various moisture sources. Summer EPEs in the CPUA have become more frequent and intense. Urban regions typically experience stronger EPEs, while mountainous regions encounter more frequent but milder precipitation. The moisture contributing to these events comes from sources including Eurasia (9.94 %), the northern and southern Western North Pacific (48.39 %), and the Bay of Bengal and South China Sea (41.67 %). Notably, contributions from Eurasia and the northern Western North Pacific have increased, whereas those from the Bay of Bengal and the South China Sea have decreased. Events driven by Western North Pacific moisture have stronger impacts on urban areas, influenced by abnormal anticyclonic patterns and the development of the Huang-Huai cyclone, which triggers intense convective activity over the CPUA. The strengthening of the Western North Pacific subtropical high promotes the transport of warm air, which merges with colder inland air, leading to extreme precipitation.

Navigating loyalty and trust in the skies: The mediating role of customer satisfaction and image for sustainable airlines

This study aims to pinpoint the key factors influencing customer loyalty and trust within the airline industry. The study investigates the impact of service quality (assessed through the SERVQUAL model), pricing fairness, and perceived value on passengers' loyalty and trust in airlines. Additionally, the research delves into the mediating influences of passenger satisfaction and airline image in this domain. The data has been collected from the passengers who have lately used air transport to travel. The respondents included 400 passengers and were targeted using a purposive sampling technique. The findings reveal a significant positive correlation between service quality, price fairness, and perceived value, as well as passengers' loyalty and trust in airlines. Furthermore, we discovered that customer satisfaction and the airline's image played crucial roles as mediators, enhancing our understanding of the core mechanisms driving loyalty and trust formation among passengers.

Identification of Similar Weather Scenes in Terminal Areas Based on Multiresolution Spatiotemporal Windows

To accurately analyze the influence of similar weather scenes in the terminal area, a framework is proposed for identifying such scenarios based on the Multiresolution Spatiotemporal Window (MRSTW). The goal is to analyze the impact of similar weather patterns. This paper introduces a simple and effective method called the rasterized weather severity index (WSI) to reduce the dimensionality of data used for extracting air transport weather features, which can cause the loss of spatial information in an image. Additionally, the paper uses Dynamic Time Warping (DTW) and the Fuzzy C-mean (FCM) clustering algorithm to cluster time-series scenes influenced by convective weather in an unsupervised manner on a daily basis. The most similar weather scenes are then identified by searching for the same cluster within a multiresolution spatiotemporal window, using 4 h weather scenes as typical examples. Finally, the framework analyzes the impact of weather scenes on the operation of terminal area approach traffic flow by combining trajectory data. The findings demonstrate that this framework can effectively identify similar weather scenes and provide a more accurate reflection of their impact on the operation of terminal area approach traffic flow.

QUY ĐỊNH TỰ DO HÓA DỊCH VỤ PHỤ TRỢ VẬN TẢI HÀNG KHÔNG CỦA HIỆP ĐỊNH THƯƠNG MẠI DỊCH VỤ ASEAN:NHỮNG VẤN ĐỀ ĐẶT RA ĐỐI VỚI VIỆT NAM

The article analyzes ASEAN Trade in Services Agreement (ATISA) commitments on air transport ancillary services and finds that these commitments in ATISA are presented at a “deeper” and “wider” level compared to commitments of the World Trade Organization (WTO) and trade agreements of which Vietnam is a member. Additionally, based on these analyses and evaluations, the article raises issues relevant to Vietnam to leverage opportunities presented by ATISA.

Catastrophic uterine rupture of an unscarred uterus following motor vehicle rollover – a case report

A 22 year old female at 6 months gestation with no history of prior abdominal surgery or previous uterine procedures presented via air transport after highway motor vehicle rollover. Due to hemodynamic instability, the only preoperative imaging that was able to be obtained was bedside sonography, which confirmed free fluid in the upper quadrants and unfortunately, fetal demise. In the operating room, source of bleeding was noted to be multiple large uterine ruptures. Uterine rupture in trauma in the absence of prior uterine surgery is a rare event and has never been reported in the third trimester, however it should remain in the differential for a pregnant trauma patient presenting with hemodynamic instability.

Effects of Altitude on Airborne Bacteria and Potential Pathogenic Bacteria： A Case of Shigatse of Xizang

Airborne microbes are affected by natural environmental factors and have become a global issue due to their potential threat to human health. To explore the effects of altitude on the communities of microbes and potential pathogenic bacteria, we sampled airborne microbes and soils at sites with different altitudes in Shigatse of Xizang. The results showed a significant difference in bacterial communities between air and soil and a decrease in the contribution of soil to airborne bacteria from the sites with a lower altitude to the sites with a higher altitude. The Chao1 indexes of airborne bacteria were significantly higher in the sites with a lower altitude compared to those with a higher altitude, and the bacterial Bray-Curtis distances between sites with a lower altitude were significantly lower than those between sites with a lower altitude and high altitude. These results indicated that altitude would affect the community patterns of airborne bacteria, and the transport of air would decrease the variations in airborne microbial communities between different sites. Proteobacteria, with 84%-91% of average abundance, predominated in the airborne bacterial communities, but different taxa were enriched in sites with different altitudes. For example, the genera of Flavobacterium and Lactobacillus were enriched in sites with a lower altitude and a higher altitude, respectively. A total of 78 potential bacterial pathogens were detected across all samples, and the relative abundance of them in bacterial communities ranged from 2.69% to 38.19%. These findings indicated that altitude would affect the community compositions of airborne bacteria and potential pathogenic bacteria and suggested the potential threat of airborne bacteria to human health. This study provided a scientific basis for better understanding the distributions of airborne microbes and for air quality improvement and disease prevention in China.

Study on Process of Converting Wind Energy to Electricity

Wind is a renewable energy, wind is product natural from the change of air temperature, air pressor and the rotate of planet. Wind is an old source of energy so the humans was use it for wind mill, sailing, air transport or drying and so on. Now a day, many countries are focusing on research study about wind turbine to generate electricity. The purpose of this research is to study the process of converting wind energy into electricity by taking wind source from a fan with a radius of 17 cm, the fan speed is about and the wind turbine power source is a small motor model ESPL-3423-D120. The study shows that the efficiency of wind turbines from the conversion of kinetic energy into electricity is about 15%. For radius of wind turbines 15 cm, we can convert wind power into electric power about 0.8954 W; For radius of wind turbines 17 cm, we can convert wind power into electric power about 1.1454 W; we also notice that the wind power is change by a radius of wind turbine and wind speed

Differentiated influences of anomalous subtropical high on extreme persistent precipitation and heatwave events in the Yangtze River Valley

AbstractIn the summers of 2020 and 2022, the Western Pacific Subtropical High (WPSH) intensified extremely and extended westward. However, in summer 2020, the Yangtze River Valley (YRV) witnessed record‐breaking floods, while in 2022, an unprecedented and prolonged heatwave occurred. Distinctly, these two extreme events were caused by different effects of the WPSH: one is enhancement of the transportation of water vapor and the other is adiabatic heating caused by the descending airflow. In June–July 2020, the stable extension of the WPSH ridge line to South China directed a southwesterly airflow along its northwest flank, leading to sustained precipitation in the YRV. Additionally, the midlatitude circulation pattern featured two troughs and two ridges. Such a circulation configuration, combined with the strong and westward WPSH, enabled the continuous southward intrusion of cold air and northward transport of warm moist air, converging over the YRV, and thus influenced extreme persistent precipitation. In contrast, the WPSH covered the YRV almost entirely during summer 2022. Under this influence, the clear‐sky condition and descending airflow through adiabatic warming directly resulted in the heatwave. In addition, local land–atmosphere feedback was crucial in its development and persistence. The soil moisture deficit induced by high temperatures increased the sensible heat flux between the soil and atmosphere upward, further enhanced the surface air temperature and strengthened the heat dry condition.

Cancer risk among air transportation industry workers in Korea: a national health registry-based study

BackgroundFlight 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.MethodsWe 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.ResultsApproximately 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.ConclusionsThe 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.

Air Transport Resilience, Tourism and Its Impact on Economic Growth

The aims of this study are to evaluate the influence of air transport and tourism on economic growth in selected Southeast Asian countries such as Thailand, Philippines, Vietnam, Indonesia, Malaysia, and Singapore in the period 1970 to 2021. The study applies the ordinary least squares (OLS), fixed effects (FEM), and random effects (REM), especially to robustness test of the research results by deploying the DOLS, and IV-GMM regression for endogeneity and autocorrelation analysis. The research results confirmed that air transport has a significant and positive impact on economic growth, especially because the positive impact increased in normal economic conditions and decreased during the COVID-19 pandemic. Therefore, if the air transport recovers, it is likely to boost economic development. In addition, there is no impact of tourism on economic growth. The research results also confirmed the positive impact of foreign direct investment and international trade on the economic growth of Southeast Asian countries; however, there is a negative impact of renewable energy consumption on economic growth.