scholarly journals A Method Framework for Automatic Airspace Reconfiguration-Monte Carlo Method for Eliminating Irregular Sector Shapes Generated by Region Growth Method

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3934
Author(s):  
Zhijian Ye ◽  
Fanhe Kong ◽  
Baocheng Zhang ◽  
Wei Gao ◽  
Jianfeng Mao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulated Annealing Algorithm ◽  
Air Traffic ◽  
Traffic Demand ◽  
Dynamic Monte Carlo ◽  
Growth Method ◽  
Annealing Algorithm ◽  
Region Growth ◽  
Irregular Sector

With the growth of air traffic demand in busy airspace, there is an urgent need for airspace sectorization to increase air traffic throughput and ease the pressure on controllers. The purpose of this paper is to develop a method framework that can perform airspace sectorization automatically, reasonably, which can be used as an advisory tool for controllers as an automatic system, especially for eliminating irregular sector shapes generated by simulated annealing algorithm (SAA) based on the region growth method. The two graph cutting method, dynamic Monte Carlo method by changing location of flexible vertices (MC-CLFV) and Monte Carlo method by radius changing (MC-RC) were developed to eliminate irregular sector shapes generated by SAA in post-processing. The experimental results show that the proposed method framework of airspace sectorization (AS) can automatically and reasonably generate sector design schemes that meet the design criteria. Our methodology framework and software can provide assistant design and analysis tools for airspace planners to design airspace, improve the reliability and efficiency of airspace design, and reduce the burden of airspace planners. In addition, this lays the foundation for reconstructing airspace with the more intelligent method.

scholarly journals A Method Framework for Automatic Airspace Reconfiguration-Monte Carlo Method for Eliminating Irregular Sector Shapes Generated by Region Growth Method

2019 ◽  
Author(s):  
ZhiJian Ye ◽  
FanHe Kong ◽  
BaoCheng Zhang ◽  
Wei Gao ◽  
JianFeng Mao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulated Annealing Algorithm ◽  
Air Traffic ◽  
Traffic Demand ◽  
Dynamic Monte Carlo ◽  
Growth Method ◽  
Annealing Algorithm ◽  
Region Growth ◽  
Irregular Sector

With the growth of air traffic demand in busy airspace, there is an urgent need for airspace sectorization to increase air traffic throughput and ease the pressure on controllers. The purpose of this paper is to develop a method framework that can perform airspace sectorization automatically, reasonably, which can be used as an advisory tool for controllers as an automatic system, especially for eliminating irregular sector shapes generated by simulated annealing algorithm (SAA) based on region growth method. Two graph cutting method, dynamic Monte Carlo method by changing location of flexible vertices (MC-CLFV) and Monte Carlo method by radius changing (MC-RC) were developed to eliminating irregular sector shapes generated by SAA in post-processing. The experimental results show that the proposed method framework of AS can automatically and reasonably generate sector design schemes that meet the design criteria. Our methodology framework and software can provide assistant design and analysis tools for airspace planners to design airspace, improve the reliability and efficiency of airspace design, and reduce the burden of airspace planners. In addition, this lays the foundation for reconstructing airspace with more intelligent method.

scholarly journals Schedules of lectures and Monte Carlo method

2011 ◽  
Vol 52 ◽  
Author(s):  
Nikolaj Grigorjev ◽  
Gediminas Stepanauskas
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Simulated Annealing ◽  
Markov Chain Monte Carlo ◽  
Monte Carlo Method ◽  
Simulated Annealing Algorithm ◽  
Annealing Algorithm

In this paper the problem of the construction of schedule of lectures is considered. The Markov chain Monte Carlo method is used. A particular program based on simulated annealing algorithm was created.  

A dynamic monte carlo method for fluids

1983 ◽  
Vol 95 (2) ◽  
pp. 144-148 ◽  
Author(s):  
A.K. Macpherson ◽  
T. Vladimiroff ◽  
W.M. Zdinak
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Dynamic Monte Carlo

Accelerating sequential Monte Carlo method for real-time air traffic management

2013 ◽  
Vol 41 (5) ◽  
pp. 35-40 ◽  
Author(s):  
Thomas C.P. Chau ◽  
James S. Targett ◽  
Marlon Wijeyasinghe ◽  
Wayne Luk ◽  
Peter Y.K. Cheung ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Real Time ◽  
Traffic Management ◽  
Sequential Monte Carlo ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Sequential Monte Carlo Method

scholarly journals Influence of interface on the formation process of polymer coatings on metal

2016 ◽  
Vol 06 (01) ◽  
pp. 1650004
Author(s):  
O. G. Maksimova ◽  
A. V. Maksimov ◽  
A. I. Moiseeva
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Metal Surface ◽  
Polymer Coating ◽  
Adhesion Force ◽  
Polymer Coatings ◽  
The Other ◽  
Modified Model ◽  
Dynamic Monte Carlo ◽  
Sticky Tape

The purpose of this work is in development of the model that allows to investigate the conformations of macromolecules near the interface “dielectric-metal” depending on the conditions of formation of the polymer coating. In the modified model of “sticky tape”, one part of macromolecule is anchored to the metal surface while the other can be elongated due to effective mean (molecular) field of dipolar type formed by free ends of other chains. The dynamic Monte-Carlo method for Langmuir’s model is used for calculation of adhesion force taking into account the interaction energy of monomers with the metal surface. It is shown that conformation of polymer chain is defined by temperature conditions of its formation. The obtained results are confirmed by the data of production tests on polymer coatings in JSC “Severstal”.

Aircraft sequencing and scheduling in TMAs under wind direction uncertainties

2020 ◽  
Vol 124 (1282) ◽  
pp. 1896-1912
Author(s):  
R.K. Cecen ◽  
C. Cetek ◽  
O. Kaya
Keyword(s):  
Stochastic Model ◽  
Wind Direction ◽  
Simulated Annealing Algorithm ◽  
Programming Model ◽  
Air Traffic ◽  
Mixed Integer ◽  
Scheduling Problems ◽  
Traffic Demand ◽  
Proposed Model ◽  
Sequencing And Scheduling

ABSTRACTAircraft sequencing and scheduling within terminal airspaces has become more complicated due to increased air traffic demand and airspace complexity. A stochastic mixed-integer linear programming model is proposed to handle aircraft sequencing and scheduling problems using the simulated annealing algorithm. The proposed model allows for proper aircraft sequencing considering wind direction uncertainties, which are critical in the decision-making process. The proposed model aims to minimise total aircraft delay for a runway airport serving mixed operations. To test the stochastic model, an appropriate number of scenarios were generated for different air traffic demand rates. The results indicate that the stochastic model reduces the total aircraft delay considerably when compared with the deterministic approach.

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