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Journal articles on the topic 'Air traffic data'

Author: Grafiati

Published: 22 February 2025

Last updated: 31 July 2025

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1

Desimoni, Federico, Sergio Ilarri, Laura Po, Federica Rollo, and Raquel Trillo-Lado. "Semantic Traffic Sensor Data: The TRAFAIR Experience." Applied Sciences 10, no. 17 (2020): 5882. http://dx.doi.org/10.3390/app10175882.

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Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city’s future evolution.

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Manvelidze, A. B. "Air lines network modelling algorithm." Strategic decisions and risk management, no. 6 (February 13, 2018): 22–29. http://dx.doi.org/10.17747/2078-8886-2017-6-22-29.

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This analysis is dedicated to find out methods for setting of route networks where new aircraft can be effectively put into service. The conception of this analysis is based on the idea of so called connectivity principle for airports connected by passenger traffic with each other.For the passenger traffic analysis the author took passenger traffic data by federal districts starting from the Far East. Then consequently the data for Siberian, Ural, Wolga, Northwestern, Central, Southern and North Caucasian federal districts were analyzed. Passenger traffic to the Crimea was treated separately.

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Asirvadam, Tina Vimala, Sonali Rao S, and Balachander T. "Predicting Air Traffic Density in an Air Traffic Control Sector." ECS Transactions 107, no. 1 (2022): 5037–45. http://dx.doi.org/10.1149/10701.5037ecst.

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Air traffic over Indian skies continues to increase rapidly and due to this increased demand, efforts must be made to efficiently balance demand with capacity. Air traffic flow management is a concept that allows for better demand and capacity management. It helps airlines plan routes and schedule flights. The ability to estimate the volume of air traffic is hence a critical element in flow management. Determining traffic in an ATC sector necessitates a thorough examination of various hidden parameters. The prediction is carried out using machine learning algorithms, Recurrent Neural Network,

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Olive, Xavier. "traffic, a toolbox for processing and analysing air traffic data." Journal of Open Source Software 4, no. 39 (2019): 1518. http://dx.doi.org/10.21105/joss.01518.

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Jáger, Rebeka Anna, and Géza Szabó. "Air Traffic Simulation Framework for Testing Automated Air Traffic Control Solutions." Applied Sciences 15, no. 12 (2025): 6414. https://doi.org/10.3390/app15126414.

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As air traffic control (ATC) automation advances, simulation environments become essential for testing and validating novel solutions before deployment. This study presents a modular framework that integrates real air traffic data to simulate controlled and uncontrolled airspace environments for automation assessment. The framework consists of a two-layer structure: a traffic simulation layer for generating and updating aircraft positions, and an upper layer for managing control agents and traffic commands. It uses ADS-B data to simulate realistic conditions, incorporates randomized traffic ge

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Duley, Jacqueline A., Scott M. Galster, and Raja Parasuraman. "Information Manager for Determining Data Presentation Preferences in Future Enroute Air Traffic Management." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 1 (1998): 47–51. http://dx.doi.org/10.1177/154193129804200112.

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One proposed vision of the future National Airspace System (NAS) involves a change in philosophy from that of air traffic control to one of air traffic management, i.e. Free Flight. In order to accommodate this philosophy change, new technologies will be implemented to assist the air traffic manager (today's air traffic controller) in decision making. When enhancing the system we must also consider the interface between the air traffic manager and this new system and its corresponding new philosophy. To better determine the design of such an interface we must first understand the information n

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Dudás, Gábor, Lajos Boros, Viktor Pál, and Péter Pernyész. "Mapping cost distance using air traffic data." Journal of Maps 12, no. 4 (2015): 695–700. http://dx.doi.org/10.1080/17445647.2015.1061463.

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Awan, Faraz Malik, Roberto Minerva, and Noel Crespi. "Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks." Sensors 20, no. 13 (2020): 3749. http://dx.doi.org/10.3390/s20133749.

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Traffic flow forecasting is one of the most important use cases related to smart cities. In addition to assisting traffic management authorities, traffic forecasting can help drivers to choose the best path to their destinations. Accurate traffic forecasting is a basic requirement for traffic management. We propose a traffic forecasting approach that utilizes air pollution and atmospheric parameters. Air pollution levels are often associated with traffic intensity, and much work is already available in which air pollution has been predicted using road traffic. However, to the best of our knowl

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Kalashnyk, Ganna, Myroslava Kalashnyk-Rybalko, and Artem Mykhailetskyi. "Improvement of data flow management in the air traffic control automation system." Challenges and Issues of Modern Science 4, no. 1 (2025): 73–82. https://doi.org/10.15421/cims.4.281.

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Purpose. The research purpose is to improve the data flow management of the air traffic control system of the Danylo Halytskyi International Airport “Lviv”. Design / Method / Approach. The following methods and approaches were consistently used in the research: system approach; modeling; content analysis; statistical analysis; project approach; economic analysis. Findings. Recommendations have been developed for optimizing data flow processing, including improving technological solutions, increasing the level of automation, and implementing strategies to reduce stress on controllers. The featu

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Majumdar, Arnab, Washington Y. Ochieng, Gérard McAuley, Jean Michel Lenzi, and Catalin Lepadatu. "The Factors Affecting Airspace Capacity in Europe: A Cross-Sectional Time-Series Analysis Using Simulated Controller Workload Data." Journal of Navigation 57, no. 3 (2004): 385–405. http://dx.doi.org/10.1017/s0373463304002863.

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Air traffic in Europe is increasing at a rapid rate and traffic patterns no longer display pronounced daily peaks but instead exhibit peak spreading. Airspace capacity planning can no longer be for the peak period but must consider the whole day. En route airspace capacity in the high density European air traffic network is determined by controller workload. Controller workload is primarily affected by the features of the air traffic and ATC sector. This paper considers the air traffic and ATC sector factors that affect controller workload throughout the whole day. A simulation study using the

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Shankaramma, H. V. Supreetha, and Nagaraj G. S. Prof. "Analysis of Air Traffic Management Models." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 11, no. 3 (2022): 47–50. https://doi.org/10.35940/ijitee.C9752.0111322.

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<strong>Abstract: </strong>The high growth of air traffic flow has increased more bottleneck traffic issues in the air traffic management (ATM) system. The challenges between flight flow, air traffic control service and airspace are the major key parameters which support capability of domestic and international air transportation need to be looked by stakeholders. Many models are designed to incorporate to address the potential bottleneck issues of ATM. However, in these models’ analysis was not clearly presented. The proposed research review paper presents an analysis and insights of di

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Ashraf, Mohamed Ibrahim Refaat, Abdulaziz Altwaijri Mohammad, and Ayman Mugallid Mohammed. "Examining the Influence of Air Traffic Operations on Local Air Quality in Airports Environment." Journal of Environmental Engineering and its Scope 6, no. 3 (2023): 28–48. https://doi.org/10.5281/zenodo.10409439.

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<em>Air pollution from traffic is a well-known problem in many urban areas, there is a lack of research on the specific impact of air traffic on local air quality at airports with no precedent in the kingdom of Saudi Arabia or at the Gulf Cooperation Council. This study deals with investing local air quality and correlations between the peak air traffic movement, departing, and arriving flights monitoring emissions (CO, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub>, PM2.5, and PM10) at King Khalid International Airport. Air quality and meteorological data of a three-month period had been analy

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Kharchenko, Volodymur, Ivan Ostroumov, Nataliia Kuzmenko, and Arkadiy Larionov. "Airplane positioning using airborne collision avoidance system data." E3S Web of Conferences 164 (2020): 03050. http://dx.doi.org/10.1051/e3sconf/202016403050.

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Mid-air collision is an important problem of modern air transport system. Development of Airborne Collision Avoidance System (ACAS) is grounded on safety criteria in order to support air traffic capacity and equipment. In research, we study the possibility and performance of airplane positioning by data accumulated in ACAS. ACAS surveillance equipment supports accurate range and poor angular measurements of airspace user’s data. An approach is based on a fusion of surveillance data with airplanes locations obtained from decoded Automatic Depended Surveillance-Broadcast messages. Performance of

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Dekoninck, Luc, and Marcel Severijnen. "Correlating Traffic Data, Spectral Noise and Air Pollution Measurements: Retrospective Analysis of Simultaneous Measurements near a Highway in The Netherlands." Atmosphere 13, no. 5 (2022): 740. http://dx.doi.org/10.3390/atmos13050740.

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Road traffic simultaneously emits noise and air pollution. This relation is primarily assessed by comparing A-weighted noise levels (LAeq) and various air pollutants. However, despite the common local traffic source, LAeq and the various sets of air pollution show a lower correlation than expected. Prior work, using simultaneous mobile noise and air pollution measurements, shows that the spectral content of the noise explains the complex and highly nonlinear relation between noise and air pollution significantly better. The spectral content distinguishes between traffic volume and traffic dyna

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Hasabi, Rafif, Robert Kurniawan, Sugiarto Sugiarto, Ribut Nurul Tri Wahyuni, and Erna Nurmawati. "Urban traffic congestion and its association with gas station density: insights from Google Maps data." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 3 (2024): 1618. http://dx.doi.org/10.11591/ijeecs.v35.i3.pp1618-1626.

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Analyzing air pollution caused by traffic conditions requires appropriate indicators. Currently, air pollution indicators are approximated by the number of vehicles and gas station density. However, this approach cannot provide information at a smaller level. This study aims to identify traffic congestion distribution from Google Maps data as an alternative air pollution indicator at smaller level using map digitization method. In addition, this study examines its relationship with the existing indicator called gas station density. The results show that the digitization method can map the traf

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Rafif, Hasabi Robert Kurniawan Sugiarto Sugiarto Ribut Nurul Tri Wahyuni Erna Nurmawati. "Urban traffic congestion and its association with gas station density: insights from Google Maps data." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 3 (2024): 1618–26. https://doi.org/10.11591/ijeecs.v35.i3.pp1618-1626.

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Analyzing air pollution caused by traffic conditions requires appropriate indicators. Currently, air pollution indicators are approximated by the number of vehicles and gas station density. However, this approach cannot provide information at a smaller level. This study aims to identify traffic congestion distribution from Google Maps data as an alternative air pollution indicator at smaller level using map digitization method. In addition, this study examines its relationship with the existing indicator called gas station density. The results show that the digitization method can map the traf

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17

Jurinić, Tea, Biljana Juričić, Bruno Antulov-Fantulin, and Kristina Samardžić. "Defining Terminal Airspace Air Traffic Complexity Indicators Based on Air Traffic Controller Tasks." Aerospace 11, no. 5 (2024): 367. http://dx.doi.org/10.3390/aerospace11050367.

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This paper focuses on terminal air traffic complexity indicators. By thorough analysis of previous research, the benefits and limitations of the existing terminal complexity models are identified. According to these findings, a new approach for determining terminal air traffic complexity indicators is proposed which assumes that terminal complexity could be determined based on approach air traffic controller (ATCO) tasks. The comprehensive list of general approach ATCO tasks was defined using a literature review and observation of training exercises, forming the basis for subsequent expert gro

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18

Ribas, Valdenilson Ribeiro, Hugo André de Lima Martins, Gutemberg Guerra Amorim, et al. "Air traffic control activity increases attention capacity in air traffic controllers." Dementia & Neuropsychologia 4, no. 3 (2010): 250–55. http://dx.doi.org/10.1590/s1980-57642010dn40300015.

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Abstract Air traffic controllers simultaneously develop complex and multiple tasks in the course of their activities. In this context, concern is raised over the high level of attention needed by these professionals which can ultimately be affected by stress and fatigue. Objectives: The objective of this study was to assess attention level in air traffic controllers (ATCo). Methods: 45 flight protection professionals were evaluated, comprising 30 ATCo, subdivided into ATCo with ten or more years in the profession (ATCo³10, n=15) and ATCo with less than ten years in the profession (ATCo <10,

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19

Xiang, Zheng, Wei Jun Pan, and Yu Tang. "Application of Controller Pilot Data Link Communication in the Training for Air Traffic Controller." Advanced Materials Research 616-618 (December 2012): 2162–65. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2162.

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The application of Controller Pilot Data Link Communication (CPDLC) in the training for air traffic controller is investigated. CPDLC is a data link application that allows for the direct exchange of text-based messages between a controller and a pilot. It greatly improves communication capabilities compared to traditional voice communication, in terms of reducing communication errors and pilot workload, improving the efficiency of airspace management and providing economic benefits. As traffic volume in the airspace becomes saturated, it is necessary to adopt CPDLC as the primary communicatio

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Han, Shah, and Lee. "Holographic Mixed Reality System for Air Traffic Control and Management." Applied Sciences 9, no. 16 (2019): 3370. http://dx.doi.org/10.3390/app9163370.

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Based on a long-term prediction by the International Civil Aviation Organization indicating steady increases in air traffic demand throughout the world, the workloads of air traffic controllers are expected to continuously increase. Air traffic control and management (ATC/M) includes the processing of various unstructured composite data along with the real-time visualization of aircraft data. To prepare for future air traffic, research and development intended to effectively present various complex navigation data to air traffic controllers is necessary. This paper presents a mixed reality-bas

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Aggoune-Mtalaa, Wassila, and Mohamed Laib. "Analyzing Air Pollution and Traffic Data in Urban Areas in Luxembourg." Smart Cities 6, no. 2 (2023): 929–43. http://dx.doi.org/10.3390/smartcities6020045.

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Monitoring air quality is gaining popularity in the research community since it can help policymakers make the right decisions for mitigating the negative effects of the ever-increasing pollution in cities. One of the significant sources of air pollution in urban areas is road transport. Assessing and understanding the relationship between urban traffic and local pollutants is crucial to maintaining sustainable urban mobility. This paper presents an exploratory data analysis of air pollution and traffic in some cities in Luxembourg. Furthermore, we studied the link that several pollutants have

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Zhang, Zhaoyue, An Zhang, Cong Sun, Shuaida Xiang, and Shanmei Li. "Data-Driven Analysis of the Chaotic Characteristics of Air Traffic Flow." Journal of Advanced Transportation 2020 (September 18, 2020): 1–17. http://dx.doi.org/10.1155/2020/8830731.

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Understanding the chaos of air traffic flow is significant to the achievement of advanced air traffic management, and trajectory data are the basic material for studying the chaotic characteristics. However, at present, there are two main obstacles to this task, namely, large amounts of noise in the measured data and the tedium of existing data processing methods. This paper improves the incorrect trajectory processing method based on ADS-B trajectory data and proposes a method by which to quickly extract the traffic flow through a certain waypoint. Currently, the commonly used theoretical ana

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Zhang, Yan, and Jun Zhang. "A Hybrid Model of Neural Network and Grey Theory for Air Traffic Passenger Volume Forecasting." Key Engineering Materials 439-440 (June 2010): 818–22. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.818.

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Chinese air traffic passenger volumes have experienced phenomenal growth during the past years. The air traffic volume prediction plays a key role in air traffic flow management system. This paper develops a hybrid model of Neural and Grey Theory for air traffic passenger volume forecasting. The Grey theory is adopted to fit the air traffic data patterns and make the data a higher regularity, and Radical basis function is combined to raise the forecasting accuracy. The model is tested with the Chinese civil aviation passenger volume data from 1998 to 2007 and the result shows that the model is

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Gomez Depoorter, Dirk, and Wolfgang Kellerer. "Designing the Air–Ground Data Links for Future Air Traffic Control Communications." IEEE Transactions on Aerospace and Electronic Systems 55, no. 1 (2019): 135–46. http://dx.doi.org/10.1109/taes.2018.2849178.

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Ulfah, Nurul, and Elisabeth Endang Prokosawati. "Analisis Stress Kerja Petugas Air Traffic Controller Terhadap Tingkat Keselamatan Penerbangan di Bandar udara Sultan Muhammad salahuddin Bima, Nusa Tenggara Barat." Reslaj : Religion Education Social Laa Roiba Journal 4, no. 5 (2022): 1291–97. http://dx.doi.org/10.47467/reslaj.v4i5.1109.

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An air traffic controller (ATC) is one of the jobs with the highest job demands. The safety of the soul is a mental burden that must be borne by each air traffic controller officer. Sultan Muhammad Salahuddin Bima Airport is in charge of providing air traffic guidance services. Guide the pilot from the aircraft's start in the apron, taxi, takeoff, and landing. This study aims to find out if there is work Stresss felt by air traffic controller officers and to gauge the level of flight safety at Sultan Muhammad Salahuddin Bima Airport. This research uses qualitative methods with descriptiv

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Li, Jiannan, Zhaoguo Wang, Bocong Yuan, Haixuan Liang, and Wenqi Liang. "The Episode of National Lockdown in the Pandemic: Air Traffic Restriction as the Control Strategy and Its Impact on Existing Cases and Recovery Rate of Novel Coronavirus Disease in Megacities of China." Disaster Medicine and Public Health Preparedness 14, no. 5 (2020): e19-e23. http://dx.doi.org/10.1017/dmp.2020.294.

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ABSTRACTObjective:The effectiveness of air traffic restriction in containing the spread of infectious diseases is full of controversy in prior literature. In January 2020, the Civil Aviation Administration of China (CAAC) announced air traffic restriction in response to the coronavirus disease (COVID-19) pandemic. This study’s aim is to empirically examine the policy effectiveness.Method:The data from 2 third-party platforms are used in this investigation. The COVID-19 data from the platform DXY and the air traffic data from Airsavvi are matched to each other. The robust panel regression with

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Ozcan, Ismail Cagri. "The effect of air cargo traffic on regional job creation in Turkey." Journal of Transport Literature 8, no. 4 (2014): 146–63. http://dx.doi.org/10.1590/2238-1031.jtl.v8n4a6.

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While there is a large body of literature on air passenger traffic's impact on local employment, the interaction between air cargo traffic and local employment remains relatively untouched. This paper tries to fill in the gap by analyzing the impact of air cargo traffic on local employment in 20 Turkish provinces using Census 2000 data. The results of 2-stage least squares estimations show that air cargo traffic stimulates employment in finance, insurance, real estate and business services and increases the total number of administrative and managerial workers and the total number of clerical

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Cao, Yang, Hao Wu, Hongbin Wang, Duanyang Liu, and Shuqi Yan. "Potential Effect of Air Pollution on the Urban Traffic Vitality: A Case Study of Nanjing, China." Atmosphere 13, no. 10 (2022): 1592. http://dx.doi.org/10.3390/atmos13101592.

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Studies on the vitality of urban residents’ daily commuting and air pollution are scarce. Based on the cell phone mobile signaling data, urban air quality observation data, and urban transportation infrastructure environment data of Nanjing in 2019, and through the panel regression model and the standard deviation ellipse analysis (SDE) to measure the impact of air pollution on residents’ daily traffic vitality, we construct the survey panel matrix data system with streets as spatial units. Through SDE and panel regression model analysis, we measured the restraining effect of air pollution on

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WENDT, JAN A., and DARIUSZ JACEK OLSZEWSKI-STRZYŻOWSKI. "Changes in air tourism to Tunisia in 2009–2018." Baltic Journal of Health and Physical Activity 12, Special Issue 1 (2020): 158–66. http://dx.doi.org/10.29359/bjhpa.12.spec.iss1.17.

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Background: T he subject of this study is an analysis of the changes of tourist air traffic in Tunisia between 2009 and 2018. During this time, Tunisia saw political changes and worldwide-reported coverage of terrorist attacks on tourists (2014–2015). The aim of this study was to attempt to determine the extent to which the Tunisian Revolution and terrorist attacks have had a negative impact on the decline in the tourist traffic, and to assess the rate of return of the tourist traffic and income in this sector to the levels from before the Revolution. Material and methods: The main source of s

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Ren, Jie, Shiru Qu, Lili Wang, Yu Wang, Tingting Lu, and Lijing Ma. "Research on en route capacity evaluation model based on aircraft trajectory data." Electronic Research Archive 31, no. 3 (2023): 1673–90. http://dx.doi.org/10.3934/era.2023087.

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<abstract> <p>For the sake of refined assessment of airspace operation status, improvement of the en route air traffic management performance, and alleviation of the imbalance of demand-capacity and airspace congestion, an en route accessible capacity evaluation model (based on aircraft trajectory data) is proposed in this paper. Firstly, from the perspective of flux, the en route capacity is defined and expanded from a two-dimensional concept to a three-dimensional concept. Secondly, based on the indicators of spatial flow and instantaneous density, an evaluation model of en route

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Chmura, Wojciech, and Marek Malarski. "Operational Errors in Air Traffic." Journal of Konbin 6, no. 3 (2008): 191–98. http://dx.doi.org/10.2478/v10040-008-0066-y.

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Operational Errors in Air Traffic The obligatory value representing the allowable number of events in air traffic (in particular accidents), calculated upon historical data known as Target Level of Safety - TLS, is at present valid only for accidents and equals 1,55*10-8 an accident per one flight hour. This value, unless the previously calculated TLS, would be reliable and this equation itself might be useful to monitor the current level of safety (CLS) by putting into it the current performance characteristics of a staff.

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Ratcliffe, S. "Automation in Air Traffic Management." Journal of Navigation 38, no. 3 (1985): 405–12. http://dx.doi.org/10.1017/s0373463300032768.

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By Air Traffic Management or ATM is meant the totality of the processes used, in the air and on the ground, to ensure safe and expeditious movement of all air traffic using controlled airspace. Computers are used on a large scale to support human planners in the management processes. Flight management computers in the aircraft, together with radar and flight-plan data processors on the ground, are conspicuous examples. Decision processes remain tasks for human controllers, although off-line computer models of traffic flow provide a background for the longer-term management decisions.

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Susetyadi, Ari, and Yati Nurhayati. "Kebutuhan Personel Air Traffic Controller (ATC) Di Bandara Sultan Mahmud Badaruddin II Palembang." Warta Penelitian Perhubungan 24, no. 5 (2019): 474. http://dx.doi.org/10.25104/warlit.v24i5.1027.

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Assessment of personnel needs of air traffic controllers (ATC) at the Sultan Mahmud Airport Badaruddin II Palembang is to find out how many number of needs of air traffic controllers (ATC) at the Sultan Mahmud Airport Badaruddin II Palembang that has with standards / regulations by the !CAO to support flight operations in order to ensure flight safety. Assessment method was quantitative method with the decomposition of descriptive, exposure and explanation in detail based on the compilation of primary data and secondary data that have been processed. The results of the assessment show that air

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Forrester, David A., and Garfield C. Dean. "Improvement of Meteorological Data for Air Traffic Management Purposes." Air Traffic Control Quarterly 2, no. 2 (1994): 85–101. http://dx.doi.org/10.2514/atcq.2.2.85.

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Diao, Xudong, and Shan Lu. "Optimization Approach to Data-Driven Air Traffic Flow Management." Transportation Research Record: Journal of the Transportation Research Board 2676, no. 3 (2021): 398–404. http://dx.doi.org/10.1177/03611981211051621.

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An integer programming model for data-driven air traffic flow management that extends the state-of-the-art approach of Bertsimas and Patterson was developed. The major contribution of our model is that the structure of the route set is modified to improve the flexibility of rerouting operations. To improve the computational performance, we employed reformulation-linearization techniques to turn the model into a linear integer programming model, and we propose two sets of valid inequalities to speed up the computation process. The computational results indicated that the optimal strategies for

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Cruz, André Luiz Macedo da. "THE TRANSFORMATION OF AIR TRAFFIC MANAGEMENT WITH BIG DATA." Revista ft 25, no. 93 (2020): 58–59. http://dx.doi.org/10.69849/revistaft/cl10202012010958.

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Klauza, Marcin, Piotr Czekalski, and Krzysztof Tokarz. "Air Traffic Data Integration using the Semantic Web Approach." Athens Journal of Τechnology & Engineering 2, no. 2 (2015): 115–28. http://dx.doi.org/10.30958/ajte.2-2-4.

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Miura, Akira, Hiroyuki Morikawa, and Moriyuki Mizumachi. "Air traffic control data tables for conflict alert system." Electronics and Communications in Japan (Part I: Communications) 79, no. 6 (1996): 101–13. http://dx.doi.org/10.1002/ecja.4410790611.

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Berry, Peter. "North Atlantic air traffic control." Aeronautical Journal 94, no. 939 (1990): 318–23. http://dx.doi.org/10.1017/s0001924000023204.

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In 1989, more than 29 million passengers were flown across the North Atlantic Ocean in 167 000 scheduled and non-scheduled flights. At peak times during the Summer months, a trans-Atlantic flight was crossing the Shanwick Oceanic Control boundary every minute and more than 200 flights were reporting between 10 and 50 degrees West. Traffic counts exceeded 750 flights a day.The following account describes the more recent improvements to North Atlantic air traffic control, the early introduction of computers to the task, with their on-line data interchange between Oceanic Control Centres and the

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Ardhiani, Lusi Nur, Galuh Rita Kumala, and Nur Makie Perdana. "ANALISIS KUALITATIF PENERAPAN SITUATION AWARENESS PADA AKTIVITAS KERJA AIR TRAFFIC CONTROLLER (ATC)." SEURUNE: Jurnal Psikologi UNSYIAH 2, no. 1 (2019): 16–32. http://dx.doi.org/10.24815/s-jpu.v2i1.13270.

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Berdasarkan fakta yang dirilis oleh Airport Council International (ACI), Indonesia memasuki peringkat ke-17 bandar udara dengan lalu lintas terpadat di dunia. Pengontrol lalu lintas udara atau air traffic controller (ATC) merupakan salah satu pihak yang paling berperan dalam mengatur kepadatan lalu lintas di jalur udara Indonesia. Penelitian ini bertujuan untuk mengetahui penerapan Situation Awareness (SA) pada aktivitas kerja sehari-hari air traffic controller di dunia penerbangan. Model yang digunakan dalam penelitian ini adalah studi kasus konklusif deskriptif. Data dikumpulkan melalui wawa

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Yeşil, Gülseren, and Özlem Şahin. "AIRCRAFT SEQUENCING WITH FUZZY LOGIC METHOD." Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 26, no. 2 (2025): 161–78. https://doi.org/10.18038/estubtda.1674259.

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The growth in the demand for air transport causes an increase in air traffic. In this case, more air traffic needs to be carried out safely, regularly and quickly. It is important to correctly and fairly order the landing traffic in order to reduce the delaying, especially in the air due to heavy traffic. In this study, it is aimed to sequence the arrival traffic with fuzzy logic method. Speed, distance, altitude parameters were used for sequencing. Traffic data was collected from the Air Traffic Simulation Laboratory at Eskişehir Technical University’s Air Traffic Control Department. A compar

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Senarathna, Mahesh, Sajith Priyankara, Rohan Jayaratne, Rohan Weerasooriya, Lidia Morawska, and Gayan Bowatte. "Measuring TrafficRelated Air Pollution Using Smart Sensors In Sri Lanka: Before And During A New Traffic Plan." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 15, no. 3 (2022): 27–36. http://dx.doi.org/10.24057/2071-9388-2022-011.

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Motor vehicle emissions are the primary air pollution source in cities worldwide. Changes in traffic flow in a city can drastically change overall levels of air pollution. The level of air pollution may vary significantly in some street segments compared to others, and a small number of stationary ambient air pollution monitors may not capture this variation. This study aimed to evaluate air pollution before and during a new traffic plan established in March 2019 in the city of Kandy, Sri Lanka, using smart sensor technology. Street level air pollution data (PM2.5 and NO2 ) was acquired using

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Kong, Jin Feng, and Yu Wang. "A Method for Predicting Air Traffic Network Flow by Short-Term Probability." Applied Mechanics and Materials 713-715 (January 2015): 1500–1503. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1500.

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The main task of air traffic management is making adjustments when traffic flow reaches to the maximum capacity of air traffic control. It aims to increase the use ratio of airport and airspace. Air traffic flow prediction is one important part of air traffic management. Usually, air traffic prediction is divided into deterministic flow prediction and probability prediction .We research on the probability prediction on the basis of deterministic flow prediction. By analyzing aircrafts’ experienced flight time distribution, giving experienced distribution function and computing method. The data

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Bolić, Tatjana, Lorenzo Castelli, Andrea De Lorenzo, and Fulvio Vascotto. "Trajectory Clustering for Air Traffic Categorisation." Aerospace 9, no. 5 (2022): 227. http://dx.doi.org/10.3390/aerospace9050227.

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Availability of different types of data and advances in data-driven techniques open the path to more detailed analyses of various phenomena. Here, we examine the insights that can be gained through the analysis of historical flight trajectories, using data mining techniques. The goal is to learn about usual (or nominal) choices airlines make in terms of routing, and their relation with aircraft types and operational flight costs. The clustering is applied to intra-European trajectories during one entire summer season, and a statistical test of independence is used to evaluate the relations bet

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Ort, Markus. "Displays in air traffic control." Information Design Journal 11, no. 1 (2003): 17–31. http://dx.doi.org/10.1075/idj.11.1.04ort.

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Commercial aviation is becoming more and more important these days. From year to year there is an accelerated increase in the density of air traffic. The resulting fast growth in the flow of data between controllers and the technical systems they use, as well as that between controller and pilot, calls for new means of communication and visualization of information and interaction with it. Revised concepts for air traffic control must be applied, to deal safely with the increasing volume of traffic in the future. The main focus must be on designing an appropriate interface to support the inter

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Li, Shanmei, Zhaoyue Zhang, and Xiaochun Cheng. "Reliability Analysis of an Air Traffic Network: From Network Structure to Transport Function." Applied Sciences 10, no. 9 (2020): 3168. http://dx.doi.org/10.3390/app10093168.

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To scientifically evaluate the reliability of air traffic networks, a definition of air traffic network reliability is proposed in this paper. Calculation models of the connectivity reliability, travel-time reliability, and capacity reliability of the air traffic network are constructed based on collected historical data, considering the current status and the predicted future evolution trends. Considering the randomness and fuzziness of factors affecting reliability, a comprehensive evaluation model of air traffic networks based on the uncertainty transformation model is established. Finally,

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TRIDIANDINI, KHANSA AULIA, Lina Rosmayanti, and Rini Sadiatmi. "THE EFFECT OF METEOROLOGICAL UNDERSTANDING OF AERODROME CONTROL TOWER PERSONNEL ON AIR TRAFFIC SERVICES AT MAKASSAR AIR TRAFFIC SERVICE CENTER." Jurnal Penelitian 7, no. 4 (2023): 283–96. http://dx.doi.org/10.46491/jp.v7i4.1184.

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ATC personnel have an important role in the process of disseminating meteorological information for every phase of flight. The purpose of this study is to find out how much influence the meteorological understanding of ATC personnel has on air traffic services at Makassar Air Traffic Services Center. The quantitative research method is used by collecting data using questionnaires for ATC personnel and unstructured interviews with pilots at Sultan Hasanuddin International Airport in Makassar. The data processing used in this study is a correlation test, determination test, and simple linear reg

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Kim, Hyewook, and Keumjin Lee. "Air Traffic Prediction as a Video Prediction Problem Using Convolutional LSTM and Autoencoder." Aerospace 8, no. 10 (2021): 301. http://dx.doi.org/10.3390/aerospace8100301.

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Accurate prediction of future air traffic situations is an essential task in many applications in air traffic management. This paper presents a new framework for predicting air traffic situations as a sequence of images from a deep learning perspective. An autoencoder with convolutional long short-term memory (ConvLSTM) is used, and a mixed loss function technique is proposed to generate better air traffic images than those obtained by using conventional L1 or L2 loss function. The feasibility of the proposed approach is demonstrated with real air traffic data.

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Kim, Hyewook, and Keumjin Lee. "Air Traffic Prediction as a Video Prediction Problem Using Convolutional LSTM and Autoencoder." Aerospace 8, no. 10 (2021): 301. http://dx.doi.org/10.3390/aerospace8100301.

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Accurate prediction of future air traffic situations is an essential task in many applications in air traffic management. This paper presents a new framework for predicting air traffic situations as a sequence of images from a deep learning perspective. An autoencoder with convolutional long short-term memory (ConvLSTM) is used, and a mixed loss function technique is proposed to generate better air traffic images than those obtained by using conventional L1 or L2 loss function. The feasibility of the proposed approach is demonstrated with real air traffic data.

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Zuluaga-Gomez, Juan, Karel Veselý, Alexander Blatt, et al. "Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications." Proceedings 59, no. 1 (2020): 14. http://dx.doi.org/10.3390/proceedings2020059014.

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Voice communication is the main channel to exchange information between pilots and Air-Traffic Controllers (ATCos). Recently, several projects have explored the employment of speech recognition technology to automatically extract spoken key information such as call signs, commands, and values, which can be used to reduce ATCos’ workload and increase performance and safety in Air-Traffic Control (ATC)-related activities. Nevertheless, the collection of ATC speech data is very demanding, expensive, and limited to the intrinsic speakers’ characteristics. As a solution, this paper presents ATCO2,

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