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Xu Y.,Nanjing University of Aeronautics and Astronautics | Xu Y.,University of Barcelona | Zhang H.,Nanjing University of Aeronautics and Astronautics | Zhang H.,University of Barcelona | And 3 more authors.
Aerospace Science and Technology

This paper provides a special view on air traffic flow parameters and presents certain influences from airspace to traffic flow characteristics. Based on statistics on measurement radar data within terminal airspace, we obtain time distributions and interrelationships of the basic parameters, and accordingly divide traffic flow states into 3 phases: free flow, mild-controlled and strong-controlled flow. Through analyzing characteristics shown in different phase states, as well as aircraft performing in real airspace operations, we establish dynamic models to describe potential behaviors including following, holding and maneuvering, while programing them into simulation tools. Relationship patterns are validated by comparison analysis on the similar simulation results against measurement data. Taking air route adjustment as simulation example, we conduct experiments on airspace elements that may have effects on traffic flow, with further discussing on possible reasons. © 2016 Elsevier Masson SAS. Source

Cong W.,Nanjing University of Aeronautics and Astronautics | Cong W.,National Key Laboratory of Air Traffic Flow Management | Hu M.-H.,Nanjing University of Aeronautics and Astronautics | Hu M.-H.,National Key Laboratory of Air Traffic Flow Management | And 2 more authors.
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China

The voice communication of air traffic controllers is critical to the operating safety and efficiency of an air traffic management system. Based on the previous human dynamics studies, air traffic controller's voice communication data, which were collected from Beijing, Shanghai, Chongqing and Guiyang, are carefully analyzed. The use of detrended fluctuation analysis finds that controller's communications are long-rang correlated. Five typical statistical models are used to model the inter-communication times of controller. The parameters of the models are estimated by the means of maximum likelihood estimation. Our results show that although the inverse Gaussian distribution is better to describe all the inter-communication data approximately, the inter-communication data that fall between 11 seconds and 240 seconds can be better described by the power-law distribution with exponent α ≈ 1.8. Comparisons on the data from en route sectors and approach sectors further shows that there is little difference on the power-law distributions, indicating that sector types has little impact on air traffic controller's communication activities. ©, 2015, Univ. of Electronic Science and Technology of China. All right reserved. Source

Cong W.,Nanjing University of Aeronautics and Astronautics | Cong W.,National Key Laboratory of Air Traffic Flow Management | Hu M.,Nanjing University of Aeronautics and Astronautics | Hu M.,National Key Laboratory of Air Traffic Flow Management | And 5 more authors.
Chinese Journal of Aeronautics

Air transport network, or airport network, is a complex network involving numerous airports. Effective management of the air transport system requires an in-depth understanding of the roles of airports in the network. Whereas knowledge on air transport network properties has been improved greatly, methods to find critical airports in the network are still lacking. In this paper, we present methods to investigate network properties and to identify critical airports in the network. A novel network model is proposed with airports as nodes and the correlations between traffic flow of airports as edges. Spectral clustering algorithm is developed to classify airports. Spatial distribution characteristics and intraclass correlation of different categories of airports are carefully analyzed. The analyses based on the fluctuation trend of distance-correlation and power spectrum of time series are performed to examine the self-organized criticality of the network. The results indicate that there is one category of airports which dominates the self-organized critical state of the network. Six airports in this category are found to be the most important ones in the Chinese air transport network. The flights delay occurred in these six airports can propagate to the other airports, having huge impact on the operation characteristics of the entire network. The methods proposed here taking traffic dynamics into account are capable of identifying critical airports in the whole air transport network. © 2016 Chinese Society of Aeronautics and Astronautics. Source

Wang Y.,Nanjing University of Aeronautics and Astronautics | Wang Y.,National Key Laboratory of Air Traffic Flow Management | Zhang Q.,Nanjing University of Aeronautics and Astronautics | Zhang Q.,National Key Laboratory of Air Traffic Flow Management | And 4 more authors.
Physica A: Statistical Mechanics and its Applications

Recent human dynamics research has unmasked astonishing statistical characteristics such as scaling behaviors in human daily activities. However, less is known about the general mechanism that governs the task-specific activities. In particular, whether scaling law exists in human activities under high pressure remains an open question. In air traffic management system, safety is the most important factor to be concerned by air traffic controllers who always work under high pressure, which provides a unique platform to study human activity. Here we extend fluctuation scaling method to study air traffic controller's communication activity by investigating two empirical communication datasets. Taken the number of controlled flights as the size-like parameter, we show that the relationships between the average communication activity and its standard deviation in both datasets can be well described by Taylor's power law, with scaling exponent α≈0.77±0.01 for the real operational data and α≈0.54±0.01 for the real-time training data. The difference between the exponents suggests that human dynamics under pressure is more likely dominated by the exogenous force. Our findings may lead to further understanding of human behavior. © 2015 Elsevier B.V. Source

Yin J.,Nanjing University of Aeronautics and Astronautics | Yin J.,National Key Laboratory of Air Traffic Flow Management | Hu M.,Nanjing University of Aeronautics and Astronautics | Hu M.,National Key Laboratory of Air Traffic Flow Management | And 6 more authors.
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica

As the convergence part of the airfield and terminal area at an airport system, the runway causes frequent air traffic congestions and flight delays due to the unbalanced demand and capacity. In this work, an optimized method for multi-runway spatio-temporal resource scheduling in the mode of dependent approaches is proposed to improve the service ability of multi-runway systems. By analyzing in depth the spatio-temporal characteristics of multi-runway systems and taking into considerations the control handoff separation, wake turbulence separation, longitudinal separation, and slope separation, an optimized model is established to balance different factors of interest such as safety, economy and environment. Then an elitist non-dominated genetic sorting algorithm is designed in combination with the multi-objective optimization theory, and applied to solve the problem of multi-runway scheduling. Simulation results show that the above model and algorithm can achieve optimized scheduling for aircraft in dependent approaches, and it can effectively reduce flight delays as well as pollutant discharges of aeronautical engines. Compared with the random and alternate scheduling strategy of multi-runway, the optimized model brings about a striking effect of 39.3% and 32.6% reduction in flight delays. The method which is entirely applicable to the mode of independent approaches can significantly relieve the flight delays at large busy airports, and effectively improve the flight punctuality rate. ©, 2014, Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica. All right reserved. Source

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