International Civil Aviation Organization Research Articles

Using interpretative structure model and analytical network process for optimum site selection of airport locations in Delta Egypt

Abstract Airports are among the constructions that must meet international standards and specifications established by the International Civil Aviation Organization (ICAO). Some of these parameters and criteria include topography, environmental, and operating circumstances. Navigation operations are also affected by terrain and human barriers, while noise, infrastructure, and weather factors affect the environment around airports. This article investigates using the interpretative structure model (ISM) and analytical network process (ANP) together as a new technique to select and determine the optimum site selection for constructing new international airports in the Nile Delta, Egypt. The criteria used (16 international criteria) are selected depending on the standards of the ICAO, field surveys, and previous studies. Nile Delta, Egypt, is chosen as a case study because it suffers from the lack of international airports and has a population of approximately 23 million. Therefore, new international airports must be established to serve this region, boost tourism, improve transportation, and stimulate commercial traffic. The results using the suggested new technique are compared with the traditional used methods for site selection, such as fuzzy-analytic hierarchy process. Landsat 8 images are used in this research. A quality test using the area under the curve and the receiver operating characteristic curve was applied to evaluate the new technique for site selection of international airports, depending on calculating the highest suitability index for each proposed site. From the quality tests, it is deduced that the suggested method (ISM–ANP) for airport site selection is more accurate than any other traditional method. ArcGIS 10.5 software is used to draw the final digital maps containing the proposed resulted sites. As a result, three new locations for the construction of international airports were found and selected throughout the research region (Delta Nile, Egypt) based on the used mathematical models. Therefore, the proposed novel method for determining the locations of international airports is thought to be effective and feasible, and it can be used to determine the locations of any development projects in general, particularly in developing countries, which benefits the decision-makers in making the right decisions.

Ornithological flight safety as a task of decision making in conditions of uncertainty

The problem of aircraft collision with birds (bird strike) is becoming more relevant with the growing trends of air transportation. According to the International Civil Aviation Organization (ICAO), over the seven-year period, 97751 aircraft collisions with animals in 105 countries around the world were recorded. In approximately half of the cases (56093 incidents), damage to the aircraft of various types is reported. According to some estimates, the annual damage from aircraft bird strikes is about 610 million US dollars. The article analyzes the effect of the aircraft bird strike threat (ornithological danger) on flight safety. The statistics of the aviation incidents with birds for the period 2010–2022 according to the figures from ICAO and the Federal Air Transport Agency of Russia are considered. The problems of risk assessment and ornithological flight safety and existing research works in this scientific field are analyzed. The main problems and shortcomings of the existing approaches are emphasized and discussed. A new concept for ornithological flight safety by dividing threats into those in a field of partial uncertainty and those in a field of deep uncertainty is proposed by the author. Making decisions in a particular field requires the use of specific tools. To solve the problem of ornithological flight safety under the threats in a field of deep uncertainty, a Dynamic Adaptive Planning (DAP) tool, that allows to develop and maintain the work of the plans with constant monitoring of the quality of their implementation is proposed. An example of the functioning of a decision-making algorithm and the assignment of critical points (triggers) to monitor the effectiveness of an airline’s plan with the aim of achieving specified ornithological flight safety indicators is given. An analysis of the results of the work showed that solving the problems in a field of deep uncertainty is a complex scientific task, however, the use of the new tools for scenario modeling will improve the quality of the Airline operation in providing ornithological flight safety, which will ultimately have a positive effect on reducing the risk of aviation incidents.

Content Analysis of an Aviation English Language Textbook Entitled ‘Cleared for Take-off’

The present study aimed to analyze an Aviation English language textbook series entitled: Cleared for Take off, English for Pilots (2007), 1 and 2, according to a checklist which was developed based on the English language proficiency rating scale set forth by the International Civil Aviation organization (ICAO). The rating scale included six language components; pronunciation, structure, vocabulary, fluency, comprehension and interaction. The findings revealed that the textbooks correspond with the language proficiency rating scale with emphasis on the interaction, vocabulary, and aural skills.

Data-Driven 4D Trajectory Prediction Model Using Attention-TCN-GRU

With reference to the trajectory-based operation (TBO) requirements proposed by the International Civil Aviation Organization (ICAO), this paper concentrates on the study of four-dimensional trajectory (4D Trajectory) prediction technology in busy terminal airspace, proposing a data-driven 4D trajectory prediction model. Initially, we propose a Spatial Gap Fill (Spat Fill) method to reconstruct each aircraft’s trajectory, resulting in a consistent time interval, noise-free, high-quality trajectory dataset. Subsequently, we design a hybrid neural network based on the seq2seq model, named Attention-TCN-GRU. This consists of an encoding section for extracting features from the data of historical trajectories, an attention module for obtaining the multilevel periodicity in the flight history trajectories, and a decoding section for recursively generating the predicted trajectory sequences, using the output of the coding part as the initial input. The proposed model can effectively capture long-term and short-term dependencies and repetitiveness between trajectories, enhancing the accuracy of 4D trajectory predictions. We utilize a real ADS-B trajectory dataset from the airspace of a busy terminal for validation. The experimental results indicate that the data-driven 4D trajectory prediction model introduced in this study achieves higher predictive accuracy, outperforming some of the current data-driven trajectory prediction methods.

Reducing airline accident risk and saving lives: financial health, corporate governance, and aviation safety

Purpose This study investigates the impact of financial health and corporate governance on aviation safety, aiming to fill a critical gap in existing research. The purpose of this study is to identify how these factors influence the safety records of airlines and provide insights for regulators, airlines and stakeholders to enhance aviation safety. Design/methodology/approach Using a comprehensive international sample spanning 1950–2009 and later, this empirical analysis draws on diverse databases. The authors examine 372 airlines across 70 countries from 1990 to 2016. The research uses statistical models to analyze the relationship between financial indicators, corporate governance quality and aviation safety, addressing limitations of prior single-country studies. Findings The findings reveal a significant inverse relationship between financial health and accident propensity, with profitable airlines exhibiting lower accident rates. Additionally, airlines with higher corporate governance quality, characterized by qualified directors and stable leadership, experience fewer accidents. The study identifies key factors such as pilot errors, mechanical failures and adverse weather, contributing to approximately 75% of accidents, emphasizing the importance of organizational control. Practical implications This research has crucial implications for aviation safety policies and practices. Regulators and international organizations, such as International Civil Aviation Organization and International Air Transport Association, should allocate resources to supervise financially vulnerable airlines and those with lower governance quality. Governments might consider incentivizing safety practices through tax deductibility for relevant expenses. Shareholders are encouraged to prioritize qualified, younger and less busy directors, recognizing their impact on safety performance. Originality/value This study contributes to existing literature by addressing methodological biases and offering a comprehensive international perspective. The identification of a link between financial health, corporate governance and accident rates in the aviation industry provides valuable insights. The research informs policymakers, regulators and industry stakeholders on effective strategies to improve safety by considering financial and governance factors under their control.

A convolutional neural network prediction model for aviation nitrogen oxides emissions throughout all flight phases

In recent years, there has been an increasing amount of research on nitrogen oxides (NOx) emissions, and the environmental impact of aviation NOx emissions at cruising altitudes has received widespread attention. NOx may play a crucial role in altering the composition of the atmosphere, particularly regarding ozone formation in the upper troposphere. At present, the ground emission database based on the landing and takeoff (LTO) cycle is more comprehensive, while high-altitude emission data is scarce due to the prohibitively high cost and the inevitable measurement uncertainty associated with in-flight sampling. Therefore, it is necessary to establish a comprehensive NOx emission database for the entire flight envelope, encompassing both ground and cruise phases. This will enable a thorough assessment of the impact of aviation NOx emissions on climate and air quality. In this study, a prediction model has been developed via convolutional neural network (CNN) technology. This model can predict the ground and cruise NOx emission index for turbofan engines and mixed turbofan engines fueled by either conventional aviation kerosene or sustainable aviation fuels (SAFs). The model utilizes data from the engine emission database (EEDB) released by the International Civil Aviation Organization (ICAO) and results obtained from several in-situ emission measurements conducted during ground and cruise phases. The model has been validated by comparing measured and predicted data, and the results demonstrate its high prediction accuracy for both the ground (R2 > 0.95) and cruise phases (R2 > 0.9). This surpasses traditional prediction models that rely on fuel flow rate, such as the Boeing Fuel Flow Method 2 (BFFM2). Furthermore, the model can predict NOx emissions from aircrafts burning SAFs with satisfactory accuracy, facilitating the development of a more complete and accurate aviation NOx emission inventory, which can serve as a basis for aviation environmental and climatic research. SynopsisThe utilization of the ANOEPM-CNN offers a foundation for establishing more precise emission inventories, thereby reducing inaccuracies in assessing the impact of aviation NOx emissions on climate and air quality.

Post-Quantum Ready Key Agreement for Aviation

Transitioning from classically to quantum secure key agreement protocols may require to exchange fundamental components, for example, exchanging Diffie-Hellman-like key exchange with a key encapsulation mechanism (KEM). Accordingly, the corresponding security proof can no longer rely on the Diffie-Hellman assumption, thus invalidating the security guarantees. As a consequence, the security properties have to be re-proven under a KEM-based security notion. We initiate the study of the LDACS key agreement protocol (Edition 01.01.00 from 25.04.2023), which is soon-to-be-standardized by the International Civil Aviation Organization. The protocol's cipher suite features Diffie-Hellman as well as a KEM-based key agreement protocol to provide post-quantum security. While the former results in an instantiation of an ISO key agreement inheriting all security properties, the security achieved by the latter is ambiguous. We formalize the computational security using the systematic notions of de Saint Guilhem, Fischlin and Warinshi (CSF '20), and prove the exact security that the KEM-based variant achieves in this model; primarily entity authentication, key secrecy and key authentication. To further strengthen our “pen-and-paper” findings, we model the protocol and its security guarantees using Tamarin, providing an automated proof of the security against a Dolev-Yao attacker.

AUT DEDERE AS ERGA OMNES TO SUPPRESS CIVIL AVIATION CRIMES UNDER THE INTERNATIONAL CIVIL AVIATION LAW: THE ISLAMIC PERSPECTIVE

Aut dedere (extradition) is an erga omnes obligation towards the international community aimed at closing the gate of safe haven so that the international criminal will face the consequence of his heinous act directed at the international community from the requesting state. The term aut dedere has not been used in conventions or treaties until the eighteenth century. This paper examines the necessity of integrating the doctrine of 'aut dedere' (extradition) into International Aviation Conventions to combat civil aviation offenses and seeks to explore its treatment under Islamic law, and the potential for punishment for refusal to extradite offenders. Through doctrinal legal research, the paper reveals that while aut dedere is obligatory under conventional law, it lacks enforceability without associated punishments. Conversely, extradition under Islamic law is deemed mandatory due to its universal nature. The paper underscores the relevance of Islamic jurisprudence in modern international legal frameworks and recommends amendments to International Civil Aviation Organization conventions to enforce extradition provisions and recognize civil aviation crimes as international offences, consistent with Islamic legal principles.

Processing of passenger information as an effective tool for combating terrorism

The article is devoted to the analysis of international and European practices of processing information about passengers in the context of combating terrorism. The provisions of UN Security Council resolutions N 2170 (2014), N 2178 (2014), N 2309 (2016), N 2396 (2017), N 2482 (2019), EU Directives N 004/82/EU, N 2016/681/EU, as well as standards of the International Civil Aviation Organization IKAO. Taking into account the requirements of these international and European acts, a comparative analysis of the draft law “On receiving, processing, distribution, storage and protection of information about passengers and personnel of vehicles of international flights” is performed. The optimal model, in the authors’ view, is proposed for implementation of the function of collecting information about passengers of all types of transport for the purpose of countering international terrorism, as well as preventing the movement of persons who may pose a threat to the national security of Ukraine.

The European Volcano Observatories and their use of the aviation colour code system

Volcano observatories (VOs) around the world are required to maintain surveillance of their volcanoes and inform civil protection and aviation authorities about impending eruptions. They often work through consolidated procedures to respond to volcanic crises in a timely manner and provide a service to the community aimed at reducing the potential impact of an eruption. Within the International Airways Volcano Watch (IAVW) framework of the International Civil Aviation Organisation (ICAO), designated State Volcano Observatories (SVOs) are asked to operate a colour coded system designed to inform the aviation community about the status of a volcano and the expected threats associated. Despite the IAVW documentation defining the different colour-coded levels, operating the aviation colour code in a standardised way is not easy, as sometimes, different SVOs adopt different strategies on how, when, and why to change it. Following two European VOs and Volcanic Ash Advisory Centres (VAACs) workshops, the European VOs agreed to present an overview on how they operate the aviation colour code. The comparative analysis presented here reveals that not all VOs in Europe use this system as part of their operational response, mainly because of a lack of volcanic eruptions since the aviation colour code was officially established, or the absence of a formal designation as an SVO. We also note that the VOs that do regularly use aviation colour code operate it differently depending on the frequency and styles of eruptions, the historical eruptive activity, the nature of the unrest, the monitoring level, institutional norms, previous experiences, and on the agreement they may have with the local Air Transport Navigation providers. This study shows that even though the aviation colour code system was designed to provide a standard, its usage strongly depends on the institutional subjectivity in responding to volcano emergencies. Some common questions have been identified across the different (S)VOs that will need to be addressed by ICAO to have a more harmonised approach and usage of the aviation colour code.

Reduced-Order Model for Supersonic Transport Takeoff Noise Scaling with Cruise Mach Number

The recent interest in the development of supersonic transport raises concerns about an increase in community noise around airports. As noise certification standards for supersonic transport other than Concorde have not yet been developed by the International Civil Aviation Organization, there is a need for a physics-based scaling rule for supersonic transport takeoff noise performance. Assuming supersonic transport takeoff noise levels are dominated by the engine mixed jet velocity and the aircraft-to-microphone propagation distance, this paper presents a reduced-order model for supersonic transport takeoff noise levels as a function of four scaling groups: cruise Mach number, takeoff aerodynamic efficiency, takeoff speed, and number of installed engines. This paper finds that, as cruise Mach number increases, supersonic transport takeoff noise levels increase while their thrust cutback noise reduction potential decreases. Assuming constant aerodynamic efficiency, takeoff speed, and number of installed engines, the takeoff noise levels and noise reduction potential of a Mach 2.2 aircraft are found to be ∼15.3  dB higher and ∼19.2  dB less compared to a Mach 1.4 aircraft, respectively. This scaling rule can potentially yield a simple guideline for estimating an approximate noise limit for supersonic transport, depending on their cruise Mach number.

Development of a machine learning model for predicting abnormalities of commercial airplanes

Airplanes are a social necessity for movement of humans, goods, and other. They are generally safe modes of transportation; however, incidents and accidents occassionally occur. To prevent aviation accidents, it is necessary to develop a machine-learning model to detect and predict commercial flights using automatic dependent surveillance–broadcast data. This study combined data-quality detection, anomaly detection, and abnormality-classification-model development. The research methodology involved the following stages: problem statement, data selection and labeling, prediction-model development, deployment, and testing. The data labeling process was based on the rules framed by the international civil aviation organization for commercial, jet-engine flights and validated by expert commercial pilots. The results showed that the best prediction model, the quadratic-discriminant-analysis, was 93% accurate, indicating a “good fit.” Moreover, the model's area-under-the-curve results for abnormal and normal detection were 0.97 and 0.96, respectively, thus confirming its “good fit.”

Monitoring of aviation personnel potential according to the competence approach

The object of the study is the personnel potential of aviation. The paper considers the problem of the effectiveness of monitoring the quality of airline personnel. According to the results of the study, it was stated that the stable growth in the volume of international cargo and passenger air transportation requires full-fledged provision of aviation with highly qualified specialists, a shortage of which has been observed in airlines in most countries of the world for several years. It is emphasized that a shortage of highly qualified specialists can be avoided only with the introduction of monitoring of the qualitative composition of the aviation personnel potential according to the competence approach. An algorithm has been developed for monitoring the qualitative composition of human resources based on the audit of compliance of professional competencies of civil aviation personnel with international standards of ICAO (International Civil Aviation Organization), EASA (European Union Aviation Safety Agency), IATA (International Air Transport Association) using triangulation of mixed methods. The expediency of using the monitoring results as a fundamental basis for building a centralized information platform with open access to information resources on the qualitative composition of the personnel potential of airlines and the industry is justified. It is reasonable that the implementation in practice of the algorithm for monitoring human resources according to the competence approach will allow stakeholders to have a clear understanding of the level of professional competence of personnel and the need to improve it in the short term, which will accelerate the elimination of the existing shortage of highly qualified specialists by timely taking measures to amend state programs for training civil aviation specialists, improving their qualifications and certification. It is emphasized that the application of this algorithm is possible in the presence of a sectoral qualifications framework

Local mitigation of higher-order ionospheric effects in DFMC SBAS and system performance evaluation

Dual-frequency multi-constellation (DFMC) satellite-based augmentation system (SBAS) is a new SBAS standard for aeronautical navigation systems. It supports aircraft navigation from the enroute to approach phases via the L1 and L5 frequencies (1575.42 and 1176.45 MHz). Although the ionosphere-free (IF) combination in the DFMC SBAS operation removes the first-order ionospheric delays in the pseudorange measurement, remaining terms including the satellite-clock offset errors and higher-order ionospheric (HOI) delays are still unaccounted for. The DFMC SBAS accuracy and integrity can be affected by the HOI effects, especially during severe ionospheric disturbances. In this work, we present the local DFMC SBAS corrections with and without the mitigation of HOI delays. We first estimate the HOI delay terms using the received pseudorange followed by separate satellite and receiver bias estimations based on the minimum sum-variance technique. The integrity terms can then be obtained. The performances of DFMC SBAS using the global navigation satellite system (GNSS) data including GPS, Galileo, and QZSS are evaluated using obtained GNSS data at stations in Thailand on the ionospheric quiet and disturbed days. The results show that with the HOI mitigation, the vertical positioning errors (VPE) on the quiet and disturbed days can be improved by 12% and 9%, whereas the vertical protection levels (VPL) are improved by 16% and 21%, respectively. In addition, we perform a preliminary assessment of DFMC SBAS based on the International Civil Aviation Organization (ICAO) requirements of two categories: Localizer Performance with Vertical guidance (LPV-200) and Category I precision approach (CAT-I) showing promising results.

Aviation Safety for Urban Air Mobility: Pilot Licensing and Fatigue Management

Urban Air Mobility (UAM) is an emerging air traffic system designed for passengers and cargo in and around urban environments. Both the Federal Aviation Administration of the United States and the European Union Aviation Safety Agency endorse a phased development approach for UAM, commencing with manned aviation and subsequently transitioning to remotely piloted and autonomous operations. This article focuses on legal considerations related to aviation safety, with a specific focus on pilot licensing and crew fatigue management. An analysis of existing aviation law provisions suggests that the International Civil Aviation Organization can work with local authorities to create regulations governing both on-board and remote pilots involved in UAM operations. Safety standards in air law can apply mutatis mutandis to on-board pilots until specific regulations are developed. In the longer term, there shall be domestic laws on both on-board and remote UAM pilots.

Plane Hijackings between Cuba and the United States and the Opportunity for Diplomacy (1958–1973)

Abstract Between 1958 and 1973, hijackings between Cuba and the US surged, prompting Cuban officials in the early 1960s to propose an extradition agreement for hijackers. However, the US, leveraging its superpower status, dismissed these initiatives, viewing hijackers as political asylum seekers rather than criminals. By the late 1960s, as hijackings escalated from the US to Cuba, the American approach shifted, seeking a bilateral agreement to address air piracy, only to be rebuffed by Cuba, which refused to accept the US’s categorization of specific hijackers as political asylum seekers while classifying others as criminals. Meanwhile, the US pressed its extradition stance through international bodies like the International Civil Aviation Organization. These diplomatic efforts underscored broader challenges in US–Cuban relations, with negotiations repeatedly missing opportunities for enhanced co-operation. A pivotal shift occurred after a significant incident threatened both nations, leading to a more balanced perspective between the US and Cuba. This change culminated in the 1973 signing of a ‘Memorandum of understanding’, marking a turning point that significantly curbed hijacking incidents and hinted at potential future improvements in bilateral relations.

Setting standards for a diagnostic test of aviation English for student pilots

Standard-setting is an essential component of test development, supporting the meaningfulness and appropriate interpretation of test scores. However, in the high-stakes testing environment of aviation, standard-setting studies are underexplored. To address this gap, we document two stages in the standard-setting procedures for the Overseas Flight Training Preparation Test (OFTPT), a diagnostic English test for ab initio pilots, aligned to the International Civil Aviation Organization (ICAO)’s Language Proficiency Rating Scale (LPRS). Performance-level descriptors (PLDs) were empirically generated in Stage 1 in collaboration with six subject matter experts (SMEs). These PLDs made explicit the correspondence between linguistic performance levels within the target language use domain and the ICAO scale. Findings suggest that the ICAO scale is not fine-grained enough to distinguish levels of linguistic readiness among ab initio pilots, nor does it adequately reflect the knowledge, skills, and abilities valued by SMEs within this domain. In Stage 2, 12 SMEs were recruited to set standards and were divided into two groups to investigate the replicability of Ebel method standard-setting procedures. Cut scores were determined for the OFTPT reading and listening tests, which were inferentially linked to the LPRS. There were no significant differences in the cut scores arrived at by both groups and reliability was excellent, suggesting that test users can have confidence in the standards set.

Sosialisasi kawasan keselamatan operasi penerbangan di Desa Durian Kecamatan Pantai Labu Kabupaten Deli Serdang

Rules related to aviation operation safety areas (KKOP) authorized by the International Civil Aviation Organization (ICAO) must be complied with. The regulations related to the KKOP must involve the community and related government employees to be implemented optimally. This is done to avoid the cause of aircraft accidents in the airport flight area. Therefore, awareness activities related to KKOP rules need to be carried out to the community and relevant local government employees. KKOP socialization in Durian Village which is directly adjacent to Kualanamu International Airport in Deli Serdang has been carried out by Medan Aviation Polytechnic lecturers through community service programs. The airport was chosen because it is the fourth largest airport with an area of 1,650 ha and is among the top 10 busiest airports in Indonesia. KKOP socialization materials include descriptions related to community activities that are contrary to KKOP rules. In addition, the elaboration of binding legal aspects related to KKOP was also conveyed in socialization activities. Thus, the rules related to KKOP are expected to be obeyed by the community around the airport. Topics related to the rights of the community around KKOP were also presented to the community.

Actualization Analysis of Service Road at Husein Sastranegara International Airport Bandung in Order to Meet the Safety Management System

Husein Sastranegara Bandung International Airport was previously an airport called Andir (Andir Airfield) during the Dutch East Indies era in 1920. As time progressed, Husein Sastranegara Bandung International Airport was managed by  PT. Angkasa Pura II in 1994. Even though it has been processed by PT. Angkasa  Pura II and many improvements have been made, but there are still facilities that  are not available in accordance with Minister of Transportation Regulation Number KM 21 of 2005 concerning the Implementation of Indonesian National Standards (SNI) 03-7095-2005 concerning Markings and Signs in Aircraft Movement Areas at Airports as a Mandatory Standard, namely Service Road markings. The aim of this research is to provide an overview of the actualization (actual condition) of the Service Road in order to fulfill the Safety Management System at Husein Sastranegara Bandung International Airport. The research method used is qualitative, the informant validation tool uses NVivo Softwear, and data validation uses triangulation, and the tool to answer research questions uses fishbone to answer "why (epistemology)" and triangulation to answer "how (axiology)". The results of this research are that the Service Road is a marking on the apron which is mandatory due to ICAO (International Civil Aviation Organization) regulations. The Service Road at Husein Sastranegara Bandung International Airport has not yet been built so the Safety Management System is still not fulfilled, but the management of PT. Angkasa Pura II has created a Service Road design plan in accordance with KP 777 of 2016 concerning the Master Plan for Husein Sastranegara International Airport in Bandung City, West Java Province. The research recommends that Service Roads be immediately built and created in order to fulfill aviation safety according to the Safety Management System.

Methodology for Assessing Shortened ILS LOC and GP Critical Areas: an Example of Gorno-Altaisk Aerodrome

Based on the analysis of recommendations of the International Civil Aviation Organization on a reasonable reduction in sizes of ILS critical areas and identification of shortcomings of the existing requirements of the Russian Federal Aviation Regulations for critical areas of ILS localiser and glide path (glide slope), a procedure has been developed that allows assessment localiser and glide slope bends for shortened critical areas. The assessment comprises the influence of different reflecting objects situated on operation area of the aerodrome, as well as of aerodrome environs on the operation of the ILS localiser and glide path.Reflecting objects can be approximated by models of a wall (that simulates reflections from buildings, bridges, fences), of a cylinder (that simulates reflections from factory pipes, tanks, containers, aircraft fuselages) and of a hemispherical diffuse reflector (simulates reflection from elevated terrain).The procedure was tested for Gorno-Altaisk aerodrome, and aproposal was developed to reduce the critical area of the localiser, which will expand the apron by 35 m, eliminate problems with imposed speed limits and blocking movement of aircraft on the taxiway. Also, the probability of service failure will decrease by 3…11 times, and the runway occupancy time will decrease by 12,5…26 % compared to existing features.