Solution of sectorization problems for an air traffic management area. II. Development of sectorization algorithms

Degtyarev, O. V.; Minaenko, V. N.; Orekhov, M. O.

doi:10.1134/s1064230710040131

Cited by 2 publications

(2 citation statements)

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“…Figure 15 shows the operation scheme of the GA applied in each C r t−1 . Initially, (Figure 15a), the GA obtains information from each aircraft A i ∈ C r t−1 on positioning, speed, conflict levels and altitude limits to be used for the calculation of the objective function (32). The initial scenario (Ce 0 r - Figure 16a) is evaluated by Q r (t) and serves as a reference for evaluating the evolution of the GA. Once speed control, as presented in section 3.2, acts in parallel with the GA, the global positive conflict level (Q r (t)) of the initial scenario Ce 0 r is updated at each GA iteration until the stop condition is satisfied (Figure 15d).…”

Section: ) Definition Of Ce L R Scenarios and Search For The Optimal Cementioning

confidence: 99%

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A Hybrid Approach for Detecting and Resolving Conflicts in Air Traffic Routes

et al. 2019

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This paper presents a hybrid model for the detection and resolution of conflicts in air traffic routes involving flight level change actions and adjustment of the longitudinal acceleration of aircraft. The strategy comprises an integrated approach that uses a fuzzy model to quantify the level of longitudinal conflict between two aircraft on the same airway. In addition, optimum flight level change actions between aircraft are calculated through a global and dynamic analysis involving the recognition of clusters of aircraft in conflict and the search for the best scenario by means of a genetic algorithm that minimizes the sum of positive conflicts. The results show that the proposed approach is able to detect and remove longitudinal conflicts in advance, providing a potential tool to support decision-making, improve safety and optimize the use of airspace.

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Section: ) Definition Of Ce L R Scenarios and Search For The Optimal Cementioning

confidence: 99%

“…GAs are used in the search for solutions that involve problems with these features in the different phases of air traffic control. References [31] and [32] use GAs in the configuration of airspace sectors according to traffic behavior. References [30], [33]- [36] use GAs in an aircraft sequencing problem (ASP).…”

Section: Introductionmentioning

confidence: 99%