Methods and features of mathematical simulation of air traffic management systems

Degtyarev, O. V.; Zubkova, I. F.

doi:10.1134/s1064230712030045

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…In bibliography numerous researches have been done concerning the Air Traffic Flow Management (ATFM) methods the last decades [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. These mathematical and simulation models have been developed in order to reduce the amount of congestion and to examine the possibility of introducing auxiliary systems which better support air traffic management.…”

Section: Existing Bibliography For Air Traffic Management Problemsmentioning

confidence: 99%

Air traffic management and energy efficiency: the free flight concept

Coletsos

Ntakolia

2015

Energy Syst

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The insufficient air routes combined with the adverse weather and congestion to air sectors lead to economic, environmental and safety problems to political aviation in Europe. This situation creates negative aspects to airlines and airports, as well. Furthermore, according to recent studies over 40,000 daily flights are predicted for 2020, and therefore the current ATM system will not be able to handle this volume of traffic in an efficient manner. A new promising approach of solving these problems in the future consists of transforming the ATM system from an 'airport-centered' to an 'airplane-centered' system so it can: (i) increase safety and energy efficiency, (ii) support the free flight concept, (iii) distribute fairly ground-holding and air delays among the flights, (iv) minimize the volume of work of ATCs as an observer, (v) relax the existing distance limits between airplane since the human factor has been annihilated, and therefore, (vi) increase the air sectors' capacity avoiding congestions and (vii) prioritize the airline preferences. Our attempt will be to develop a mathematical model for a support system for the free flight concept. We divide the problem into two sub-problems (upper and lower level) in order to decrease the computational efforts and the complexity of the air traffic flow management problem and to allow flexibility, supporting in the same time the free flight scenario.

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Section: Existing Bibliography For Air Traffic Management Problemsmentioning

confidence: 99%

Air traffic management and energy efficiency: the free flight concept

Coletsos

Ntakolia

2015

Energy Syst

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“…One way to do this is with a fuzzy logic algorithm to take in data from aircraft and adjust their flight plans as needed to ensure required separation. Much work has already been accomplished in fuzzy logic algorithms using sensor and communication information to keep vehicles from colliding with other vehicles or other objects [5]. One algorithm using fuzzy logic will be analyzed in the case study below.…”

Section: Figure 2 Ads-b Communicationmentioning

confidence: 99%

Automation of Air Traffic Management Using Fuzzy Logic Algorithm to Integrate Unmanned Aerial Systems into the National Airspace

Jenab¹,

Pineau²

2018

IJECE

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Unmaned Aircraft Systems (UAS) have been increasing in popularity in personal, commercial, and military applications. The increase of the use of UAS poses a significant risk to general air travel, and will burden an already overburdened Air Traffic Control (ATC) network if the Air Traffic Management (ATM) system does not undergo a revolutionary change. Already there have been many near misses reported in the news with personal hobbyist UAS flying in controlled airspace near airports almost colliding with manned aircraft. The expected increase in the use of UAS over the upcoming years will exacerbate this problem, leading to a catastrophic incident involving substantial damage to property or loss of life. ATC professionals are already overwhelmed with the air traffic that exists today with only manned aircraft. With UAS expected to perform many tasks in the near future, the number of UAS will greatly outnumber the manned aircraft and overwhelm the ATC network in short order to the point where the current system will be rendered extremely dangerous, if not useless. This paper seeks to explore the possibility of using the artificial intelligence concept of fuzzy logic to automate the ATC system in order to handle the increased traffic due to UAS safely and efficiently. Automation would involve an algorithm to perform arbitration between aircraft based on signal input to ATC ground stations from aircraft, as well as signal output from the ATC ground stations to the aircraft. Fuzzy logic would be used to assign weights to the many different variables involved in ATM to find the best solution, which keeps aircraft on schedule while avoiding other aircraft, whether they are manned or unmanned. The fuzzy logic approach would find the weighted values for the available variables by running a simulation of air traffic patterns assigning different weights per simulation run, over many different runs of the simulation, until the best values are found that keep aircraft on schedule and maintain the required separation of aircraft

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A Solution to the Problem of Assessing Aviation Safety by Simulation Modeling

Vishnyakova

Obukhov

2018

J. Comput. Syst. Sci. Int.

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Methods and features of mathematical simulation of air traffic management systems

Cited by 4 publications

References 1 publication

Air traffic management and energy efficiency: the free flight concept

Air traffic management and energy efficiency: the free flight concept

Automation of Air Traffic Management Using Fuzzy Logic Algorithm to Integrate Unmanned Aerial Systems into the National Airspace

A Solution to the Problem of Assessing Aviation Safety by Simulation Modeling

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