Relevant bibliographies by topics / Air traffic data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Air traffic data'

Author: Grafiati
Published: 22 February 2025
Last updated: 31 July 2025

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Journal articles on the topic "Air traffic data"

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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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Dissertations / Theses on the topic "Air traffic data"

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Condé, Rocha Murça Mayara. "Data-driven modeling of air traffic flows for advanced Air Traffic Management." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120378.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 209-219).<br>The Air Traffic Management (ATM) system enables air transportation by ensuring a safe and orderly air traffic flow. As the air transport demand has grown, ATM has become increasingly challenging, resulting in high levels of con
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Rehm, Frank. "Visual data analysis in air traffic management /." Köln : DLR, 2007. http://diglib.uni-magdeburg.de/Dissertationen/2007/frarehm.htm.

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Lin, Joyce C. (Joyce Chaisin) 1979. "VisualFlight : the air traffic control data analysis system." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87266.

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Popescu, Vlad M. "Airspace analysis and design by data aggregation and lean model synthesis." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49126.

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Air traffic demand is growing. New methods of airspace design are required that can enable new designs, do not depend on current operations, and can also support quantifiable performance goals. The main goal of this thesis is to develop methods to model inherent safety and control cost so that these can be included as principal objectives of airspace design, in support of prior work which examines capacity. The first contribution of the thesis is to demonstrate two applications of airspace analysis and design: assessing the inherent safety and control cost of the airspace. Two results are show
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Marzuoli, Aude Claire. "En-route air traffic optimization under nominal and perturbed conditions, on a 3D data-based network flow model." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43639.

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Air Traffic Management (ATM) aims at ensuring safe and efficient movement of aircraft in the airspace. The National Airspace System is currently undergoing a comprehensive overhaul known as NextGen. With the predicted growth of air transportation, providing traffic flow managers with the tools to support decision making is essential. These tools should aid in accommodating the air traffic throughput increase, while limiting controller workload and ensuring high safety levels. In the National Airspace System (NAS), the goal of en-route Traffic Flow Management (TFM) is to balance air traffic dem
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Enea, Gabriele. "Simulation-Based Study to Quantify Data-Communication Benefits in Congested Airport Terminal Area." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/31206.

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The scope of this study was to evaluate the impact of the air traffic controller-to-pilot communication standard known as CPDLC or Data-Communication on the future air traffic operations. The impact was evaluated from the double viewpoint of airport delays and air traffic controllersâ workload. RAMS simulation software is used to perform all the runs and from its output data the values of terminal area delays and controllers workload are obtained. The New York Metroplex terminal area was used as a case study. Because of its complexity, where three major airports (i.e. JFK, Newark, and La Gua
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White, Kyle John Sinclair. "Increasing service visibility for future, softwarised air traffic management data networks." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8536/.

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Air Traffic Management (ATM) is at an exciting frontier. The volume of air traffic is reaching the safe limits of current infrastructure. Yet, demand for more air traffic continues. To meet capacity demands, ATM data networks are increasing in complexity with: greater infrastructure integration, higher availability and precision of services; and the introduction of unmanned systems. Official recommendations into previous disruptive outages have high-lighted the need for operators to have richer monitoring capabilities and operational systems visibility, on-demand, in response to challenges. Th
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Schiper, Nicole. "Traffic data sampling for air pollution estimation at different urban scales." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSET008/document.

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La circulation routière est une source majeure de pollution atmosphérique dans les zones urbaines. Les décideurs insistent pour qu’on leur propose de nouvelles solutions, y compris de nouvelles stratégies de management qui pourraient directement faire baisser les émissions de polluants. Pour évaluer les performances de ces stratégies, le calcul des émissions de pollution devrait tenir compte de la dynamique spatiale et temporelle du trafic. L’utilisation de capteurs traditionnels sur route (par exemple, capteurs inductifs ou boucles de comptage) pour collecter des données en temps réel est néc
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Sangpetchsong, K. "The application of relative navigation to civil air traffic management." Thesis, Cranfield University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341128.

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Kendrick, Christine M. "Improving the Roadside Environment through Integrating Air Quality and Traffic-Related Data." PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/3086.

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Urban arterial corridors are landscapes that give rise to short and long-term exposures to transportation-related pollution. With high traffic volumes, congestion, and a wide mix of road users and land uses at the road edge, urban arterial environments are important targets for improved exposure assessment to traffic-related pollution. Applying transportation management strategies to reduce emissions along arterial corridors could be enhanced if the ability to quantify and evaluate such actions was improved. However, arterial roadsides are under-sampled in terms of air pollution measurements i
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Books on the topic "Air traffic data"

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Flight deck benefits of integrated data link communication. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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United States. Air Traffic Operations Service. Data communications. U.S. Dept. of Transportation, Federal Aviation Administration, 1989.

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Crawford, Jason A. Modal emissions modeling with real traffic data. Texas Transportation Institute, Texas A&M University System, 1999.

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Center, Ames Research, ed. Design and evaluation of an advanced air-ground data-link system for air traffic control. NASA, Ames Research Center, 1992.

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Center, Ames Research, ed. Design and evaluation of an advanced air-ground data-link system for air traffic control. NASA, Ames Research Center, 1992.

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Phillips, Charles T. Integration of air traffic databases: A case study. Operations Research Service, Federal Aviation Administration, 1995.

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United States. Air Traffic Service. Data communications. U.S. Dept. of Transportation, Federal Aviation Administration, Air Traffic Service, 1986.

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Knox, Charles E. Flight tests with a data link used for air traffic control information exchange. Langley Research Center, 1991.

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Alan, Yost, United States. Federal Aviation Administration. Office of Aviation Research., and John A. Volpe National Transportation Systems Center (U.S.), eds. Controller and pilot error in airport operations: A review of previous research and analysis of safety data. Federal Aviation Administration, Office of Aviation Research, 2001.

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Cardosi, Kim M. Controller and pilot error in airport operations: A review of previous research and analysis of safety data. Federal Aviation Administration, Office of Aviation Research, 2001.

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Book chapters on the topic "Air traffic data"

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Zanin, Massimiliano, Andrew Cook, and Seddik Belkoura. "Data Science." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-7.

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Zakaria, Zainuddin, and Sun Woh Lye. "Unearthing Air Traffic Control Officer Strategies from Simulated Air Traffic Data." In Human Interaction, Emerging Technologies and Future Systems V. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85540-6_46.

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Temme, Annette, Ingrid Gerdes, and Roland Winkler. "Computational Intelligence in Air Traffic Management." In Computational Intelligence in Intelligent Data Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32378-2_20.

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Chen, Yi-Hsuan, Albert Y. Chen, and Ta-Chih Hsiao. "Image-Based Traffic Data Collection in Traffic-Related Air Pollution Analysis." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84224-5_16.

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Besada, Juan A., Guillermo Frontera, Ana M. Bernardos, and Gonzalo de Miguel. "Adaptive Data Fusion for Air Traffic Control Surveillance." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21222-2_15.

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Rehm, Frank, Frank Klawonn, and Rudolf Kruse. "Single Cluster Visualization to Optimize Air Traffic Management." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-70981-7_36.

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Mehmeti, Anduel, Gabriella Gigante, and Salvatore Venticinque. "Explainable Reinforcement Learning for Assisting Air Traffic Controllers." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87778-0_14.

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Ziv, Alexander, Ruwim Berkowicz, Eugene Genikhovich, Finn Palmgren, and Ekaterina Yakovleva. "Analysis of the St. Petersburg Traffic Data Using the OSPM Model." In Urban Air Quality — Recent Advances. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0312-4_21.

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Lane, S. E. J. "The Implementation and Impact of Automatic Data Processing on UK Military ATC Operations." In Automation and Systems Issues in Air Traffic Control. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76556-8_5.

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Nguyen, Binh Thanh, Pham Lu Quang Minh, Huynh Vu Minh Nguyet, Do Huu Phuoc, Pham Dinh Tai, and Huy Truong Dinh. "Intelligent Urban Transportation System to Control Road Traffic with Air Pollution Orientation." In Future Data and Security Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91387-8_14.

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Conference papers on the topic "Air traffic data"

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Muszka, Tibor, and Peter Szabó. "Copernicus Satellite Data and Air Traffic Management." In 2024 New Trends in Aviation Development (NTAD). IEEE, 2024. https://doi.org/10.1109/ntad63796.2024.10850205.

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zhou, zhihui, Haiyan Chen, Yirui Fu, and Ligang Yuan. "Air traffic complexity assessment based on multiscale spatio-temporal data." In Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), edited by Hao Chen and Wei Shangguan. SPIE, 2025. https://doi.org/10.1117/12.3050626.

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S, Sivamurugan, Vedapriya N, Vijayashree K, and Nithya P. "Road Traffic Forecasting Using Air Pollution and Atmospheric Data." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780058.

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Momtaz, Soufiane, Otmane Idrissi, Abdelmajid Bousselham, and Mohammed Mestari. "Comparing Lateral and Vertical Spacing Action Applied To Arrival Air Traffic." In 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS). IEEE, 2024. http://dx.doi.org/10.1109/icds62089.2024.10756306.

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Chen, Xiaoguang, Hao Li, Yumeng Zhou, and Meng Li. "Discussion on Data Classification Technology for Data Security in Air Traffic Management Information Systems." In 2024 2nd International Conference on Intelligent Communication and Networking (ICN). IEEE, 2024. https://doi.org/10.1109/icn64251.2024.10865942.

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Avagyan, Garik, Juan C. Armijos, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio, and Alfredo Cuzzocrea. "An Environmental Data Science Solution for Data Analytics Exploration of Traffic Interaction on Air Quality." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00284.

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Yu, Shasha, Yijun Chen, and Xuejun Zhang. "Insight into complex mega-system: Examining the Evolution of Air Traffic Research." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10869283.

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Duan, Min, Kun Zhang, Wei Lv, Juan Yu, and Yichi Zhang. "Comprehensive suppression technology for clutter in wind farms using air traffic control radar." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067361.

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Zhang, Kun, Min Duan, Zhijian Sun, Congsheng Zhang, and Yichi Zhang. "Research on height measurement and estimation technology of two coordinate air traffic control radar." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067363.

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Khamlae, Ponlawat, Chollakorn Nimpattanavong, Worawat Choensawat, and Kingkarn Sookhanaphibarn. "Visualization System for Air Traffic data." In 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE). IEEE, 2020. http://dx.doi.org/10.1109/gcce50665.2020.9291971.

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Reports on the topic "Air traffic data"

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Kendrick, Christine. Improving the Roadside Environment through Integrating Air Quality and Traffic-Related Data. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.3081.

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Kwon, Jaymin, Yushin Ahn, and Steve Chung. Spatio-Temporal Analysis of the Roadside Transportation Related Air Quality (STARTRAQ) and Neighborhood Characterization. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2010.

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To promote active transportation modes (such as bike ride and walking), and to create safer communities for easier access to transit, it is essential to provide consolidated data-driven transportation information to the public. The relevant and timely information from data facilitates the improvement of decision-making processes for the establishment of public policy and urban planning for sustainable growth, and for promoting public health in the region. For the characterization of the spatial variation of transportation-emitted air pollution in the Fresno/Clovis neighborhood in California, v
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Olstad, Tyra, J. Beeco, J. Hutchinson, et al. Spatial patterns of overflights at Bryce Canyon National Park, updated 2023?2024. National Park Service, 2025. https://doi.org/10.36967/2307673.

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This study explores spatial patterns of overflights at Bryce Canyon National Park (BRCA), using Automatic Dependent Surveillance-Broadcast (ADS-B) data collected between August 14, 2023 and September 03, 2024. It expands upon an earlier report using data collected only through March 2024, looking for potential changes to patterns during busy spring and summer seasons. The methodology remains largely the same. Phase 1 of analysis considered all overflights, finding commuter traffic following major flight paths dominates airspace near the park. Phase 2 focused on low-level overflights travelling
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Edwards, Lulu, Charles Weiss, J. Newman, Fred Nichols, L. Coffing, and Quint Mason. Corrosion and performance of dust palliatives : laboratory and field studies. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42125.

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This report details laboratory and field experiments on BioPreferred® dust suppressants to assess performance and corrosion characteristics. Numerous bio-based dust suppressant products are marketed, but little data are available to assess performance for dust abatement and corrosion of common metals. A laboratory study used an air impingement device and the Portable In-Situ Wind ERosion Laboratory (PI-SWERL) to simulate wind speeds similar to those in field conditions for rotary wing aircraft. Laboratory corrosion studies used metal coupons imbedded in soil treated with dust palliative. Field
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Tran, Martin, Samuel Kreinberg, Eric Specking, et al. Smart installation weather warning decision support. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49734.

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Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the
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Pinchuk, O. P., O. M. Sokolyuk, O. Yu Burov, Evgeniy Lavrov, Svitlana Shevchenko, and Valeriia Aksakovska. ICT for training and evaluation of the solar impact on aviation safety. CEUR Workshop Proceedings, 2020. http://dx.doi.org/10.33407/lib.naes.722580.

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The paper discusses information and communication technology use for studying reasons of aviation accidents because of the aviation operator errors as result of internal and external influence. The model and technique are proposed and include integrated ICT united previously developed (initial professional selection and day-to-day pre-shift check), open access cloud-based (NASA and ICAO) and real-time operative (air traffic controllers and pilots control) ICTs, which data are stored in one database. Proposed ICT has been checked to study effect of the solar wind parameters (speed and density)
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Hartle, Jennifer C., Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, and Matt McGahan. Assessing Public Health Benefits of Replacing Freight Trucks with Cargo Cycles in Last Leg Delivery Trips in Urban Centers. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.1952.

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Increased urbanization, population growth, and demand for time-sensitive deliveries means increased freight movement in cities, which contributes to emissions, noise, and safety concerns. One innovative mode gaining widespread attention for urban deliveries is cargo cycles—bicycles adapted for freight delivery. Despite the recognized potential and possible success of transporting at least 25% of freight via cycle, research remains limited. This research investigates the potential of cargo cycle delivery for last mile freight in Oakland, California, with a focus on the West Oakland neighborhood
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Bobashev, Georgiy, R. Joey Morris, Elizabeth Costenbader, and Kyle Vincent. Assessing network structure with practical sampling methods. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0049.1805.

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Using data from an enumerated network of worldwide flight connections between airports, we examine how sampling designs and sample size influence network metrics. Specifically, we apply three types of sampling designs: simple random sampling, nonrandom strategic sampling (i.e., selection of the largest airports), and a variation of snowball sampling. For the latter sampling method, we design what we refer to as a controlled snowball sampling design, which selects nodes in a manner analogous to a respondent-driven sampling design. For each design, we evaluate five commonly used measures of netw
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Bain, Rachel, David Young, Marin Kress, Katherine Chambers, and Brandan Scully. US port connectivity and ramifications for maintenance of South Atlantic Division ports. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46385.

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This study utilized automatic identification system (AIS) data to quantify vessel traffic patterns within a predominantly US port network from 1 January 2009 to 31 December 2020, with the methods validated using independent data sets collected between 1 January 2015 and 31 December 2019. The analysis focused on South Atlantic Division (SAD) ports. AIS-derived data characterized individual ports’ traffic and port-to-port connectivity for the network. With foreign vessel entrances and clearances (E&amp;C) data, the AIS-reported vessel characteristics enabled calculation of ships’ physical volume
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Olstad, Tyra, Brian Peterson, J. M. Hutchinson, J. Beeco, and Damon Joyce. Exploring spatial patterns of overflights at Bryce Canyon National Park. National Park Service, 2024. http://dx.doi.org/10.36967/2304315.

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This study explored spatial patterns of overflights at Bryce Canyon National Park (BRCA). Overflights were analyzed from August 14, 2023 to March 12, 2024 using Automatic Dependent Surveillance-Broadcast (ADS-B) data. Phase 1 of analysis focused on all overflights and found airspace use was predominantly by commuter traffic along major flight paths. Phase 2 of analysis focused on low-level overflights that fly below 11,500 ft mean sea level (MSL) and fly within 10-miles of the BRCA boundary. It found that most flights occurred between 9,500?10,500 ft MSL. Flights below 8,500 ft MSL concentrate
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