A Mathematical Programming Approach to Optimum Airspace Sectorisation Problem

Oktal, Hakan; Yaman, Kadriye; Kasımbeyli, Refail

doi:10.1017/s0373463319000833

Cited by 5 publications

(4 citation statements)

References 19 publications

(20 reference statements)

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“…Granberg et al used the Stockholm Arlanda TMA as a case study in 2019 to develop a paradigm for extremely flexible sectorization [27]. Oktal et al used CPLEX to solve the best sectorization for Turkish en-route airspace in 2020 [28]. Although the vertical height division is taken into account in the research, it is normally done first, followed by the horizontal height division, which simplifies the 3D problem to the 2D problem [8].…”

Section: Literature Review and The Methodology Overviewmentioning

confidence: 99%

An Approach for Three-Dimensional Sectorization in the Terminal Area Based on Airspace Function

Wan

et al. 2023

Wireless Communications and Mobile Computing

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As explainable artificial intelligence (XAI) has grown in popularity, it has become possible to more clearly explain the functional correspondence between airspace and traffic flow, which can alleviate the contradiction between the continuously increasing traffic demand in the terminal area and the limited airspace capacity; this paper studies the three-dimensional sectorization in the terminal area based on the airspace function. First, trajectory clustering is adopted to classify the functions of air traffic flows. Then, a functional sectorization framework is proposed to enable different airspace sectors with varied functions, where specifically the functional consistency objective between the airspace sector and the traversed air traffic flows is proposed. Third, a corresponding efficient algorithm is designed to generate functional sectors with an accurate scope that can well separate different traffic flows. Finally, the proposed method is evaluated by the actual operation datasets in the Shanghai terminal area. The results show that the method proposed in this paper can not only generate three-dimensional sectors with specific functions according to the prevailing traffic flow in the complex terminal area, which is conducive to the construction of controllers’ situational awareness, but also can reduce potential conflicts and traffic density variance, increasing average sector flight time a lot.

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Section: Literature Review and The Methodology Overviewmentioning

confidence: 99%

An Approach for Three-Dimensional Sectorization in the Terminal Area Based on Airspace Function

Wan

et al. 2023

Wireless Communications and Mobile Computing

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“…The concept of air traffic complexity has been originally introduced to qualify the difficultly that ATCos perceive in comprehending and safely managing a certain air traffic situation, which is closely related to the ATCos workload. For the ground-based ATM system, most of the researches on air traffic complexity metrics focus on exploring the relationship between traffic characteristics and the ATCos workload of tactical intervention, such as aircraft density [4,5], dynamic density [5,6] and interval complexity [7]. Based on the workloaddependent complexity measures, the complex traffic situations that exceed the ATCos capacity can be predicted and eliminated at early stages.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the workloaddependent complexity measures, the complex traffic situations that exceed the ATCos capacity can be predicted and eliminated at early stages. To maintain the ATCos workload within acceptable range, the resources of the ground-based ATM system is dynamically allocated through sectors reconfiguration and human resources reassignment [4,7,8].…”

Section: Introductionmentioning

confidence: 99%

Autonomous and collaborative trajectory planning for traffic complexity management

Zhou

Yang

et al. 2022

IET Intelligent Trans Sys

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To accommodate growing air traffic demand, the traffic complexity management plays a crucial role in the capacity improvement of future automated air traffic management. In this paper, an autonomous and collaborative trajectory planning (ACTP) method is presented to facilitate collaborative decision‐making and enhance flexibility of the traffic complexity management in the en route airspace. A nonlinear integer model is formulated for the conflict‐free autonomous trajectory planning by reorganizing the trajectories with the combination of speed adjustment, lateral rerouting and flight level allocation maneuvers. Within the framework of the air‐ground situation awareness sharing, the spatio‐temporal reachable space is defined to describe the feasible solution space under the constraints of aircraft performance and required time of arrival. In addition, both the system‐level and the individual‐level objectives, traffic complexity and flight efficiency, are considered in the model, which are measured through the metric based on linear dynamical systems and the deviation from the user‐preferred trajectory. To balance the optimality and computational efficiency in the multi‐aircraft trajectory planning, a multi‐aircraft clustered and collaborative optimization algorithm is proposed based on the hybrid distributed‐centralized control strategy. The experimental results of the scenario in Western China airspace is presented, which verify the effectiveness of the proposed ACTP method through the comparison of other methods. Furthermore, a multi‐criteria decision‐making problem is discussed to strike a better trade‐off between different objectives in the trajectory planning.

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“…However, for the sake of safety and confidentiality, most national policies have stricter regulations on the operating mechanism of the airspace, and there is not much room for opening up and improving the airspace utilization mechanism. Therefore, current research on airspace mainly focuses on airspace planning [5,6] and capacity assessment [7][8][9]. These studies can optimize the structure and operation mechanism of a single or a few airspace to a certain extent, but research on the relationship and hierarchy within the airspace group composed of multiple airspace is still insufficient.…”

Section: Introductionmentioning

confidence: 99%

A Complex Network-Based Airspace Association Network Model and Its Characteristic Analysis

et al. 2022

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As airspace congestion becomes more and more serious, it not only affects the efficiency and quality of aviation activities, but also poses a greater safety hazard. For in-depth exploration of the airspace network, a new airspace association network that differs from the traditional aviation approach of organizing the airspace into a network of sectors based on aircraft traffic flow is proposed. By judging the relationship between the size and location of the airspace and other properties, the establishment of an association network provides new ideas for airspace conflict detection and other aerial tasks. The three key factors of airspace use conflict were extracted and quantified, then the Analytic Hierarchy Process (AHP) was used to assign weights to basic symmetric operators corresponding to three factors to calculate the final airspace correction degree, which reveals the magnitude of correlation degree between the airspace caused by the combined action of the above three factors. Finally, an airspace association network model was established according to the association degree, using basic symmetric operators to explore the general symmetry and network characteristics in real-world airspace association networks, and the feature indices, such as degree, strength, average correlation, clustering coefficient, and structure information entropy of the network, are proposed. The results show that the nodes with higher node degree and node association strength are often key nodes in the network, and the areas with higher average association degree and clustering coefficient are often more prone to airspace conflicts. At the same time, it was also verified that the safety distance between airspace has the greatest impact on the characteristics of the airspace association network.

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A Mathematical Programming Approach to Optimum Airspace Sectorisation Problem

Cited by 5 publications

References 19 publications

An Approach for Three-Dimensional Sectorization in the Terminal Area Based on Airspace Function

An Approach for Three-Dimensional Sectorization in the Terminal Area Based on Airspace Function

Autonomous and collaborative trajectory planning for traffic complexity management

A Complex Network-Based Airspace Association Network Model and Its Characteristic Analysis

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