Relevant bibliographies by topics / Air traffic complexity factors

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

Academic literature on the topic 'Air traffic complexity factors'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Air traffic complexity factors"

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Cummings, M. L., and Chris Tsonis. "Deconstructing Complexity in Air Traffic Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 1 (2005): 25–29. http://dx.doi.org/10.1177/154193120504900107.

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While previous research has addressed air traffic controller workload as a function of cognitive complexity due to environmental and to a lesser degree, organizational factors, significantly less attention has been paid to the role of displays and complexity in the ATC environment. One drawback to new display technology is that in dynamic human supervisory control domains, it is not always clear whether a decision support interface actually alleviates or contributes to the problem of complexity. In an attempt to quantify the influence of environmental and display complexity factors on cognitiv
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Stager, Paul, Donald Hameluck, and Rebecca Jubis. "Underlying Factors in Air Traffic Control Incidents." Proceedings of the Human Factors Society Annual Meeting 33, no. 2 (1989): 43–46. http://dx.doi.org/10.1177/154193128903300209.

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As part of a continuing investigation of the conditions associated with operating irregularities in air traffic control (ATC), reports prepared during the investigation of 301 operating irregularities were analyzed in order to identify the factors most likely to precipitate air traffic control incidents. Operating irregularities were found to occur more frequently under conditions of moderate or low workload and normal complexity. A second objective of the work has been to develop a database system from which statistical data on operating irregularities and the various identified factors can b
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Pejovic, Tamara, Fedja Natjasov, and Dusan Crnogorac. "Relationship between air traffic demand, safety and complexity in high density airspace in Europe." MATEC Web of Conferences 314 (2020): 01004. http://dx.doi.org/10.1051/matecconf/202031401004.

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Air traffic performance of the European air traffic system depends not only on traffic demand but also on airspace structure and its traffic distribution. These structural (airspace structure) and flow characteristics (factors such as traffic volume, climbing/descending traffic, mix of aircraft type, military area activity) influence airspace complexity, which can affect controller workload and influence the probability of safety occurrence. In other words, all these dynamic and static complexity components can potentially have an impact upon the safety of the air traffic management (ATM) syst
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Xie, Hua, Minghua Zhang, Jiaming Ge, Xinfang Dong, and Haiyan Chen. "Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation." Complexity 2021 (January 30, 2021): 1–16. http://dx.doi.org/10.1155/2021/6457246.

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A sector is a basic unit of airspace whose operation is managed by air traffic controllers. The operation complexity of a sector plays an important role in air traffic management system, such as airspace reconfiguration, air traffic flow management, and allocation of air traffic controller resources. Therefore, accurate evaluation of the sector operation complexity (SOC) is crucial. Considering there are numerous factors that can influence SOC, researchers have proposed several machine learning methods recently to evaluate SOC by mining the relationship between factors and complexity. However,
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Wee, Hong Jie, Sun Woh Lye, and Jean-Philippe Pinheiro. "A Spatial, Temporal Complexity Metric for Tactical Air Traffic Control." Journal of Navigation 71, no. 5 (2018): 1040–54. http://dx.doi.org/10.1017/s0373463318000255.

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Tactical monitoring and controlling of air traffic is becoming increasingly difficult to manage for Air Traffic Controllers (ATCOs) owing to an increasingly complex traffic flow. A dynamic tactical complexity model, herein known as Conflict Activity Level (CAL), has been developed and is presented in this paper. This can be achieved either by establishing an overall score for an entire region or sub-regions of interest as specified by user's input location and time. This is done by evaluating the likely aircraft flight shape profile based on its current and projected position and trajectory. F
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Huang, Jun Xiang, and Hong Yong Wang. "Relationship of Traffic Complexity and Pilot-Controller Voice Communication Load." Applied Mechanics and Materials 744-746 (March 2015): 1980–84. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1980.

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A multi-factor linear regression model was developed to describe and estimatepilot-controller voice communication loads. The routinely-recorded air traffic control data andassociated voice communication data were collected to statistically analyze the correlation betweencomplexity factors and pilot-controller voice communication loads. Results show that each complexity factor is significantly correlated with voice communication loads. To eliminate multicollinearity among complexity indicators, principle component analysis is performed to extract two principle components from complexity indicat
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Boag, Christine, Andrew Neal, Shayne Loft, and Graeme S. Halford. "An analysis of relational complexity in an air traffic control conflict detection task." Ergonomics 49, no. 14 (2006): 1508–26. http://dx.doi.org/10.1080/00140130600779744.

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Kikis, Elise A. "The proteostatic effects of traffic-derived air pollution on Alzheimer's disease risk." Open Biology 10, no. 8 (2020): 200146. http://dx.doi.org/10.1098/rsob.200146.

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Alzheimer's disease (AD) is an age-related neurodegenerative disease and the leading cause of dementia in the elderly. Recent decades have been marked by considerable advances in our understanding of genetic and environmental risk factors and also of the AD mechanism(s) of action. Nonetheless, there is still no cure and the myriad ways AD affects the brain is overwhelmingly complex. Such complexity is manifest in part by the fact that genetic background interacts with the environment, including traffic-derived particulate air pollution, to greatly exacerbate AD risk. Determining the mechanisms
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Zhou, Hang, and Xinxin Jiang. "Multirunway Optimization Schedule of Airport Based on Improved Genetic Algorithm by Dynamical Time Window." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/854372.

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Reasonable airport runway scheduling is an effective measure to alleviate air traffic congestion. This paper proposes a new model and algorithm for flight scheduling. Considering the factors such as operating conditions and flight safety interval, the runway throughput, flight delays cost, and controller workload composes a multiobjective optimization model. The genetic algorithm combined with sliding time window algorithm is used to solve the model proposed in this paper. Simulation results show that the algorithm presented in this paper gets the optimal results, the runway throughput is incr
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Schmitz, Seán, Sophia Becker, Laura Weiand, Norman Niehoff, Frank Schwartzbach, and Erika von Schneidemesser. "Determinants of Public Acceptance for Traffic-Reducing Policies to Improve Urban Air Quality." Sustainability 11, no. 14 (2019): 3991. http://dx.doi.org/10.3390/su11143991.

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Air pollution remains a problem in German cities. In particular, the nitrogen dioxide (NO2) annual limit-value set by the European Union of 40 µg/m3 was not met at ~40% of roadside monitoring stations across German cities in 2018. In response to this issue, many cities are experimenting with various traffic-reducing measures targeting diesel passenger vehicles so as to reduce emissions of NO2 and improve air quality. Identifying the determinants of public acceptance for these measures using a systematic approach can help inform policy-makers in other German cities. Survey data generated from a
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Dissertations / Theses on the topic "Air traffic complexity factors"

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Zohrevandi, Elmira. "Effects of Complexity Factors on Controllers Workload in Stockholm Terminal Area." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131154.

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Through a history of more than 50 years, the results of mathematical models have shown that controller workload is being driven by the complexity involved in the airspace environment. Part of this complexity is prompted by the dynamical behavior of traffic patterns. From the results of models describing controller’s workload, it is observed that predictability decreases the complexity. Therefore, the general idea behind this topic is to analyze how a specific notion of predictability influences the controller’s workload. This specific notion in this research is a type of automation that aircra
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Lee, Keumjin. "Airspace complexity: airspace response to disturbances." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22552.

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Thesis (Ph. D.)--Aerospace Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Pritchett, Amy; Committee Co-Chair: Feron, Eric; Committee Member: Clarke, John-Paul; Committee Member: Tsiotras, Panagiotis; Committee Member: Yang, Bong-Jun
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Filho, Emilio Alverne Falcão de Albuquerque. "Experimental setup for air traffic control cognitive complexity analysis." Instituto Tecnológico de Aeronáutica, 2009. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=991.

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In many parts of the world, future air traffic demands are expected to exceed air traffic capabilities and, at times, the system does already become overloaded. In this context, in the United States, the Next Generation Air Transportation System (NGATS) vision arises, which calls for a set of system modifications, with the increase and addition of capabilities that are expected to allow a proper response to the future needs of the American air transportation system. As a consequence of these modifications, the controller's tasks and roles are going to change, but it is anticipated that the cog
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Ehrmanntraut, Rüdiger. "Full Automation of Air Traffic Management in High Complexity Airspace." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-32811.

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The thesis is that automation of en-route Air Traffic Management in high complexity airspace can be achieved with a combination of automated tactic planning in a look-ahead time horizon of up to two hours complemented with automated tactic conflict resolution functions. The literature review reveals that no significant results have yet been obtained and that full automation could be approached with a complementary integration of automated tactic resolutions AND planning. The focus shifts to ‘planning for capacity’ and ‘planning for resolution’ and also – but not only – for ‘resolution’. The wo
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Histon, Jonathan M. "The impact of structure on cognitive complexity in air traffic control." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/82250.

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Histon, Jonathan M. "Mitigating complexity in Air Traffic Control : the role of structure-based abstractions." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46560.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.<br>Page 232 blank.<br>Includes bibliographical references (p. 209-218).<br>Cognitive complexity is a limiting factor on the capacity and efficiency of the Air Traffic Control (ATC) system. A multi-faceted cognitive ethnography approach shows that structure, defined as the physical and informational elements that organize and arrange the ATC environment, plays an important role in helping controllers mitigate cognitive complexity. Key influences of structure in the operational environment and on
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Tsonis, Christos George. "An analysis of information complexity in air traffic control human machine interaction." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35560.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.<br>Includes bibliographical references (p. 121-126).<br>This thesis proposes, develops and validates a methodology to quantify the complexity of air traffic control (ATC) human-machine interaction (HMI). Within this context, complexity is defined as the minimum amount of information required to describe the human machine interaction process in some fixed description language and chosen level of detail. The methodology elicits human information processing via cognitive task analysis (CTA) and expr
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Djokic, Jelena. "Investigation into Air Traffic Complexity as a Driver of a Controller‘s Workload." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-208110.

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The thesis describes an investigation into Air Traffic Control (ATC) complexity as a contributory factor in changes of controllers' workload. It is considered that ATC complexity, together with equipment interface and procedural demands comprise the task demands imposed on the en-route controller to perform certain activities, which mediated by performance shaping factors create workload. The data used to study this relationship came from ATC real-time simulations completed at EUROCONTROL CRDS in Budapest: recorded flown trajectories, communication performed by the controller (whether with oth
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Mohamed, Hasan Saam Najat Haider. "Trajectory & complexity management of air traffic under a collaborative free flight concept." Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/7025/.

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Fraser, Marisa. "Factors affecting the career advancement of female air traffic controllers in the South African air traffic control industry." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/28556.

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Research shows that although the representation of women in the workforce has increased over the past couple of decades, there are many industries that still remain male dominated. In addition, it is generally known that such male-dominated industries have minimal female representation at their managerial levels. One such male-dominated industry in South Africa is the air traffic control (ATC) industry. Women represent about 30 percent of the industry, which suggest their status in the industry is still quite low. The purpose of this study was to examine male and female air traffic controllers
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Books on the topic "Air traffic complexity factors"

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Human factors in air traffic control. Taylor & Francis, 1995.

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Endsley, Mica R. Situation awareness information requirements for en route air traffic control. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 1995.

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Pounds, Julia. FAA strategies for reducing operational error causal factors. Office of Aerospace Medicine, Federal Aviation Administration, 2003.

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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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Cardosi, Kim M. Human factors integration challenges in the Terminal Radar Approach Control (TRACON) environment. Office of Aviation Research, Federal Aviation Administration, 2003.

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Cardosi, Kim M. Pilot-controller communication errors: An analysis of Aviation Safety Reporting System (ASRS) reports. Federal Aviation Administration, Office of Aviation Research, 1999.

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Cardosi, Kim M. Pilot-controller communication errors: An analysis of Aviation Safety Reporting System (ASRS) reports. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Research, 1998.

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Cardosi, Kim M. Pilot-controller communication errors: An analysis of Aviation Safety Reporting System (ASRS) reports. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Research, 1998.

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Crane, Barry W. Flight crew factors for CTAS/FMS integration in the terminal area. National Aeronautics and Space Administration, Ames Research Center, 2000.

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The Hudson River airspace and management of uncontrolled airspace corridors: Hearing before the Subcommittee on Aviation of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Eleventh Congress, first session, September 16, 2009. U.S. G.P.O., 2009.

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Book chapters on the topic "Air traffic complexity factors"

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Sridhar, Banavar, and Kapil Sheth. "Air Traffic Control, Complex Dynamics of." In Encyclopedia of Complexity and Systems Science. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_16.

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Sridhar, Banavar, and Kapil Sheth. "Complex Dynamics of Air Traffic Flow." In Encyclopedia of Complexity and Systems Science. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-27737-5_16-2.

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Lillo, Fabrizio, Rosario N. Mantegna, and Salvatore Miccichè. "Complex Networks in Air Transport." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-3.

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Bourgois, Marc. "Introduction." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-1.

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Cook, Andrew, and Massimiliano Zanin. "Complex Network Theory." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-2.

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Rivas, Damián, and Rafael Vazquez. "Uncertainty." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-4.

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Blom, Henk A. P., and Soufiane Bouarfa. "Resilience." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-5.

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Blom, Henk A. P., Mariken H. C. Everdij, and Soufiane Bouarfa. "Emergent Behaviour." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-6.

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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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Pérez, David. "Conclusions and a Look Ahead." In Complexity Science in Air Traffic Management. Routledge, 2016. http://dx.doi.org/10.4324/9781315573205-8.

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Conference papers on the topic "Air traffic complexity factors"

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Song, Zhuoxi, Yangzhou Chen, Zhenlong Li, Defu Zhang, and Hong Bi. "Measurement of Controller Workloads Based on Air Traffic Complexity Factors." In The Twelfth COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.194.

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ZEWDIE, Retta, and Pavel KIC. "ANALYSIS OF PRINCIPAL STRESS FACTORS AFFECTING DRIVERS IN DIFFERENT VEHICLES." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.090.

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The aim of this research paper is to compare the effect of the heart rate variabilities on different vehicle drivers. The most common urban transport vehicles (bus, tram and metro) are compared with typical mobile agricultural machines (tractors and combine harvesters) and passenger car. The measurements were focused on the complexity and traffic routes, velocities of each vehicle and ages of drivers related to changes in the heart rate of drivers as main parameters. The authors characterize cardinal factors affecting the contentment of drivers while undertaking their performance. The results
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Ishutkina, Mariya, Eric Feron, and Karl Bilimoria. "Describing Air Traffic Complexity Using Mathematical Programming." In AIAA 5th ATIO and16th Lighter-Than-Air Sys Tech. and Balloon Systems Conferences. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-7453.

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Zhang, Chen, Jin Zhang, and Minghua Hu. "Air traffic complexity based on alliance effects." In 2009 IEEE/AIAA 28th Digital Avionics Systems Conference (DASC). IEEE, 2009. http://dx.doi.org/10.1109/dasc.2009.5347432.

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Lee, Keumjin, Eric Feron, and Amy Pritchett. "Air Traffic Complexity: An Input-Output Approach." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282989.

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Delahaye, Daniel, and Stephane Puechmorel. "Air traffic complexity based on dynamical systems." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5718004.

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Zhuoxi, Song, Chen Yangzhou, Li Zhenlong, Zhang Defu, and Bi Hong. "A review for workload measurement of air traffic controller based on air traffic complexity." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561284.

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Gianazza, David, and Kevin Guittet. "Selection and Evaluation of Air Traffic Complexity Metrics." In 2006 ieee/aiaa 25TH Digital Avionics Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/dasc.2006.313710.

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Prandini, Maria, and Jianghai Hu. "A probabilistic approach to air traffic complexity evaluation." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400469.

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Hasan, Saam N., and J. A. Rossiter. "Sustaining trajectory flexibility for air traffic complexity alleviation." In 9TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES: ICNPAA 2012. AIP, 2012. http://dx.doi.org/10.1063/1.4765528.

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Reports on the topic "Air traffic complexity factors"

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Myers, Pamela. Future North American Air Traffic Control Synergy Human Factors Solution. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada229255.

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