Urban Air Mobility (UAM) is emerging as a solution to urban transportation issues, and Korea is advancing UAM development through the K-UAM roadmap. This study proposes a single dynamic corridor generation algorithm as a core technology for real-time traffic management. Using the A^* algorithm and DEM-based grid terrain data, optimal flight corridors were generated between Vertiports in Busan. A risk map with terrain-based weights was applied to guide corridor formation away from urban areas toward mountains or seas. Simulation results confirmed the system's ability to flexibly adapt to environmental characteristics. However, increased computation time was observed with longer distances and higher terrain complexity. Future research will focus on improving system realism by integrating factors such as population density, weather, and urban airflow effects.

NOTAM (notice to airmen or notice to air missions) is an essential document that pilots must verify during flights. However, since its introduction in 1942, the format of NOTAM has remained largely unchanged. For flights to regions such as North America or Europe, pilots must review NOTAMs that can 80-100 pages long. The current NOTAM format, which relies heavily on abbreviations and codes, makes it virtually impossible for the crew to comprehensively review all the information they need. Moreover, the existing format makes it difficult to distinguish between the various priority levels or degrees of importance of the notices. This study focuses on developing a system that translates the abbreviated and coded NOTAMs into natural language and then re-translates them into Korean, tailored for the familiarity of Korean pilots. The goal is to improve the accessibility, clarity, and prioritization of NOTAMs for pilots, enhancing their ability to make informed decisions during flight operations.

This paper presents an analysis of Earth-to-Mars transfer trajectories using classical astrodynamics approaches including Hohmann transfer, Lambert's solution, and the patched conic approximation. The Earth-Mars trajectory is modeled in three phases: Earth departure via hyperbolic orbit, heliocentric transfer orbit, and Mars approach. The transfer orbit, which dominates the mission path, is designed using Lambert's problem, considering arbitrary departure and arrival dates. Key design parameters such as C3, the characteristic energy, are evaluated to assess mission feasibility. Case studies using NASA's Curiosity (2011) and Perseverance (2020) missions show that the proposed method yields arrival date predictions within 1% of actual arrival times under the assumption of minimum C3 launch conditions. The fork-chop plot method is introduced to visualize and select optimal launch windows based on C3 and time of flight. Based on the synodic period between Earth and Mars, the paper suggests October 2026 as a feasible candidate for the next launch, with an estimated arrival in August 2027. The analysis supports the validity of the approach and provides a practical reference for future Mars transfer trajectory design.

Treaties are a core source of international law, and this centrality is equally evident in the field of air transport. However, the complex and multilateral contractual relationships characteristic of air transport require a distinct interpretive approach. Traditional jurisprudential theories-legal positivism and natural law-provide important foundations but reveal limitations when applied to the interpretation of air transport treaties. Legal positivism, especially Kelsen's pure theory, emphasizes strict adherence to legal texts and facts, yet often fails to address evolving consumer protection needs. Natural law theory, grounded in immutable moral principles, struggles to accommodate the commercial realities and stakeholder conflicts inherent in international air carriage. This paper proposes interpretivism as a more effective framework for treaty interpretation in air transport law. Through analysis of the Emirates case before the UK Royal Courts of Justice, the study demonstrates how interpretivism, by integrating textual analysis with normative coherence and practical considerations, resolves conflicts between instruments such as the Montreal Convention and Regulation 261. This approach not only aligns with the object and purpose principle of the Vienna Convention on the Law of Treaties but also supports a dynamic and consumer-oriented development of air law. The findings suggest that interpretivist reasoning can guide future legal reforms and judicial practice in the protection of air passengers.

The purpose of this research was to investigate how airport noise data was composed of and utilized based on previous research results. Moreover, this paper tried to find out how effectively airport authorities overseas delivered its airport data to residents living in airport noise mitigation areas. It was found major foreign airports offered so detailed airport noise data that users' effective use of data has been improved. Finally, performing comparison analysis among overseas major airports and domestic airports such as Incheon and Gimpo Int'l Airport, this paper tried to suggest implications to improve noise mitigation policy and residence supporting policy. To summarize research's conclusion, airport noise data provided by airport noise portal could be used to establish policy to develop airport effectively and environmentally. Airport noise data would be effectively used not only for developing airport but also establishing environment impact study around airport. However it is needed for airport noise portal to help users to estimate noise impact upon their residential address by providing more detailed airport noise data.

Typhoons have been occurring at a rate of twenty-five for the past three decades, with three typhoons directly affecting Korea yearly. When typhoons make landfall or are in the proximity of Korea, the strong winds, heavy rains, and thunderstorms that accompany, affect aircraft safety and cause cancellations and delays, and other abnormal aircraft situations. This study examines the characteristics and airline responses to major typhoons that significantly impacted Korean airports in the past five years: Lingling(2019), Bavi, Maysak, and Hais- hen(2020), and Hinnamnor(2022). At Incheon, Gimpo, Jeju, and Gimhae airports, the recorded maximum gusts reached 66kt, 59kt, 60kt, and 75kt, respectively, causing flight cancellations, securing parked aircraft, and even commencing aircraft evacuations. Global warming and the resulting rise in sea surface temperatures are expected to intensify typhoons in the future, posing a greater risk to both the southern and central regions of the country. Based on this study, it is recommended to strengthen safety management measures for aircraft operations, airport facilities, and air navigation facilities in preparation for the increased frequency and intensity of typhoons.

Startle stimuli produce emotional, physiological responses and involuntary behavioral responses in humans, and cognitive responses that direct human attention to the stimuli. Surprise is a cognitive-emotional response to the unexpected, and similarly to startle, it produces physiological responses, behavioral responses that flinch, and cognitive responses that draw attention and stop behavior. Startle stimuli impair even routine information processing, and in aviation, startle and surprise responses affect task performance interruption, pilot decision-making, and execution. This study was conducted on active helicopter pilots in a virtual reality environment during takeoff and verified whether unexpected and sudden changes in visibility during the hovering phase, which requires considerable attention, evokes pilots' startle and surprise responses. Heart rate, heart rate variability, anxiety, subjective emotional value, and physical responses were measured, and the results showed that startle and surprise responses were induced. This suggests that unexpected and sudden changes in visibility during the hovering phase of takeoff can cause startle and surprise in helicopter pilots, which can have a negative effect on the subsequent takeoff phase.

This study analyzed the acceptance of new technologies mainly for passengers in their 20s and 30s, and empirically analyzed the differences in perceptions between groups on how other generations show differences in terms of technology acceptance unlike these generations. Based on the results of this empirical analysis, this researcher suggested implications that airline self-service technology can be generalized so that passengers can use it quickly and easily at the airline check-in site without any inconvenience. According to empirical analysis using ANOVA, Only the efficiency and certainty of self-service technology will not be able to obtain technology acceptance that all age groups agree with. Although positive intentions to accept technology have been confirmed from the MZ and Gen-Z generations, efforts to improve self-service technology that can be used easily and quickly by all generations are still showing differences in perception among passengers in their 40s or older.

The FAA's final rule for Powered-Lift provides legal and institutional basis for pilot certification and operations. The FAA is preparing to enhance operational safety by establishing Airman Certification Standards(ACS) and utilizing Flight Simulation Training Devices(FSTD). However, the first eletric Vertical Take-Off and Landing(eVTOL) aircraft to be in service are expected to have a number of safety risks in various operating environments. This study introduces risk factor analysis and safety management measures for Powered-Lift to ensure safe Advanced Air Mobility(AAM) operation in Korea. For the success of Powered Lift operations, preliminary studies on Single-pilot Resource Management(SRM) and Specific Operational Risk Assessment(SORA) are required. It is propose to establish a safety-oriented Powered Lift operation system through Simplified Vehicle Operations(SVO) that combines human factors and automation.

Incheon International Airport plans to construct a fifth runway, planned as Runway 32-14, to accommodate increasing air traffic demand. The new runway will serve Terminals 1, 2, and the future Terminal 3, making efficient ground connectivity essential. This study examines the necessity of a northern connection taxiway and compares single and dual configurations through simulation. Using Total Airspace and Airport Modeler, traffic scenarios of 70 and 140 aircraft per hour were tested. Results show that the dual taxiway reduces delays and improves flow under high-demand conditions. The cumulative benefit of dualization from 2034 to 2050 is estimated at KRW 401.9 billion, exceeding the construction cost. These findings suggest that dualization is a cost-effective and operationally viable solution for integrating the new runway into the airport's ground system.

According to ICAO, aviation safety refers to a state in which the risk status related to aviation activities is reduced to an acceptable level and can be controlled. Of course, even if aviation accidents have decreased significantly compared to the early days of the aviation industry and have been reduced to an acceptable level of risk and can be controlled, efforts for safety must be made continuously. Although many mandatory safety management activities are being carried out through national aviation safety programs, aviation safety management systems, and accident analysis, activities on aviation safety voluntary reporting, which is an important system that can identify unreported risks, are in a low state. Accordingly, this study investigated the influence of factors affecting aviation safety voluntary reporting on the intention to report aviation safety voluntary reporting through awareness of aviation safety voluntary reporting. As a result, the awareness factor on aviation safety voluntary reporting was found to have a partial mediating effect, confirming the correlation and importance implied by awareness of aviation safety voluntary reporting.

The number of ROK Air Force flight accidents in 2022 was relatively high compared to other years. The quick recovery of aviation power through accident investigations is of paramount importance. This paper seeks to find practical ways to operate a recovery and support program so that accident parties and related personnel can quickly recover to pre-accident levels after an aircraft accident. To this end, domestic/foreign accident and disaster support regulations and programs were compared and analyzed, and procedures(drafts) for accident investigation and application of support programs were presented in preparation for current issues by the Air Force. This study intends to mention as a limitation that some or all military internal regulations cannot be contained in detail in the paper.

Punctuality in air transport industry represents a commitment to passengers, an enhancement of airport operational efficiency, optimal fleet utilization by airlines, and compliance with government policies. In South Korea, the domestic flight delay rate in 2024 was 22%, and over 70% of delays were attributed to connecting delays. For domestic flights, the punctuality of subsequent flights can be affected by the punctuality of preceding ones. From the airline's perspective, if the timing for deploying standby aircraft can be accurately predicted, it is possible to improve punctuality by mitigating connecting delays. This study aims to predict the punctuality of scheduled domestic flights to Gimpo Airport based on operational data generated from prior flights. A Deep Neural Network (DNN) was employed as the delay prediction methodology, and various techniques were applied to improve prediction accuracy.

This study systematically analyzed the key factors affecting aircraft fuel consumption using a random forest regression model based on 1,034 operational samples and 8 predictive variables. The model was validated through 10-fold cross-validation, and hyper parameter tuning identified mtry =5 as the optimal setting. Variable importance analysis revealed that flight distance(41.9%) and payload(24.8%) were the most influential factors, followed by temperature, speed, wind, altitude, speed, and airplane performance monitoring system. The model achieved an RMSE of 501.52, an R² of 0.601, and an MAE of 358.09 on the test set, indicating stable performance and demonstrating that distance and payload are the primary determinants of fuel consumption in commercial aviation. This framework supports ICAO's roadmap by transforming raw operational data into actionable insights, empowering airlines to minimize costs and emissions concurrently.

Driven by the global economic recovery and technological revolution, the aviation industry is undergoing profound structural changes. With the rapid development of information technology, big data, the Internet of Things and other technologies, artificial intelligence (AI) is gradually penetrating into all aspects of aviation operations, driving the aviation industry's transformation to "smart aviation". Technological changes are reshaping the industry ecosystem at an unprecedented speed, and the rapid development of the commercial aerospace field is driving the reconstruction of the value of the industrial chain. This trend of technological integration is giving rise to innovative application scenarios such as virtual assistants and smart avionics. Smart aviation has gradually become an important development direction for the global aviation industry. This article systematically discusses the main application areas of artificial intelligence in aviation operations, as well as typical application scenarios and practical effects of artificial intelligence from the aspects of intelligent flight scheduling, flight path optimization, intelligent aircraft maintenance, air traffic management, airport services and aviation safety. At the same time, it analyzes the key challenges faced by artificial intelligence in the promotion of aviation operations, such as data integration, algorithm credibility, regulatory compliance, and network security. At the same time, this paper analyzes the key challenges faced by the promotion of artificial intelligence in aviation operations, such as data integration, algorithm credibility, regulatory compliance, and network security. Finally, it proposes countermeasures and suggestions for building an open and collaborative smart aviation ecosystem to promote the high-quality and intelligent development of the aviation industry. Through the analysis of existing application cases and the outlook for future trends, this paper aims to provide strategic references for aviation managers and technology developers to achieve a more efficient, safer, and more sustainable aviation operation system.

The government has significantly strengthened safety measures since the 2013 San Francisco plane crash, and there have been no fatalities until 2023. However, the worst domestic aircraft accident occurred in December 2024, requiring continuous and innovative measures. In order to prevent additional fatal aviation accidents, safety management must be operated before an accident occurs, not after, through cooperation with airlines and data-based preventive safety management. The United States established the CAST(Commercial Aviation Safety Team) in 1997 after the 1996 TWA(Trans World Airlines) accident, which led to a significant decline in aviation safety. Canada also established C-CAST and has played a global role in flight data analysis since the mid 1980s by working with airlines. Looking at the innovation cases of other states, establishing a permanent commercial aviation safety council that communicates with airlines and experts and utilizes data to manage aviation safety before an accident occurs is a golden opportunity for innovation.