scholarly journals Assessment of the application feasibility of the genetic algorithm for airports operations optimization based on the collaborative decision-making principles

2019 ◽  
Vol 22 (5) ◽  
pp. 85-93
Author(s):  
G. M. Lebedev ◽  
V. B. Malygin
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic ◽  
Aviation Industry ◽  
Collaborative Decision Making ◽  
Original Product ◽  
Multiplicative Form ◽  
Collaborative Decision

The article proposes a formalization methodology of the basic characteristics of the production processes of the aviation industry major components, such as airlines, airports and air traffic control authorities. This technique is not exhaustive, but it is quite suitable as the basis for the formation of the initial data for decision-making optimization under the conditions of airport operations performance and air traffic management, based on the principles of work coordination of the airports operational units. It is proposed to use a genetic algorithm as a tool for optimizing collaborative decision-making, which allows for a smaller number of iterations in real time to obtain a suboptimal solution that meets the requirements of the process participants. The mathematical model in multiplicative form is presented in making an assessment of the application feasibility of the genetic algorithm, taking into account the interests of three stakeholders. Planning the use of aircraft for the airport flight schedule based on the formalized data of the airline fleet, the capabilities of the base airport apron, as well as the restrictions of permanent and temporary nature is accepted as the original product. The article demonstrates the potential advantage of the genetic algorithm, the point of which is that within each step of a suboptimal choice of priorities instead of brute-force options limited but effective direct search of a reduced number of those options that have been chosen as the "elite" by using multiplicative form is carried out.

Collaborative Decision Making and Information Sharing for Air Traffic Management Operations

2010 ◽  
pp. 260-286
Author(s):  
Osvandre Alves Martins ◽  
Denis Silva Loubach ◽  
Giovani Volnei Meinerz ◽  
Adilson Marques da Cunha
Keyword(s):  
Decision Making ◽  
Information Sharing ◽  
Information Management ◽  
System Integration ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Collaborative Decision Making ◽  
Management Philosophy ◽  
Collaborative Decision

One of the most notable concepts related to the future cooperative Air Traffic Management (ATM) is the Collaborative Decision Making (CDM). This new management philosophy of using collaborative technologies and procedures to enable ATM partners drives efforts towards the common goals of sharing and exchanging information. To support the implementation of CDM, a likely solution was found in the context of System of Systems (SoS), system integration, and interoperability. Service-Oriented Architecture (SOA) principles and technologies were recognized as one of the best alternatives to allow this implementation. Within this architecture, the System Wide Information Management (SWIM) has been developed on the last decade, and SWIM applications will be accessible to all ATM partners on the next decade by providing full airspace information, updated in real-time by all involved partners. This chapter presents an overview of key elements in information sharing for ATM and explains how SOA, SWIM, Aeronautical Information Management (AIM) and CDM support each other development.

Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies

2020 ◽  
pp. 66-90
Author(s):  
Yuliya Sikirda ◽  
Mykola Kasatkin ◽  
Dmytro Tkachenko
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Air Traffic ◽  
Automated System ◽  
Sequential Optimization ◽  
Collaborative Decision Making ◽  
Air Traffic Controller ◽  
Planning Methods ◽  
Human Operators ◽  
Collaborative Decision

This chapter researches pilot and air traffic controller collaborative decision making (CDM) during flight emergencies for maximum synchronization of operators' technological procedures. Deterministic models of CDM by the Air Navigation System's human operators were obtained by network planning methods; their adequacy is confirmed by full-scale modeling on a complex flight simulator. For the sequential optimization of the collaborative two-channel network “Air traffic controller-Pilot” to achieve the end-to-end effectiveness of joint solutions, a multi-criteria approach was used: ensuring the minimum time to parry flight emergency with maximum safety/maximum consistency over the time of operators' actions. With the help of the multiplicative function, the influence of organizational risk factors on flight safety in the air traffic control was evaluated. A conceptual model of System for control and forecasting the flight emergency development on the base of Intelligent Automated System for supporting the CDM by operators was developed.

scholarly journals A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations

2021 ◽  
Vol 11 (22) ◽  
pp. 10923
Author(s):  
Cho Yin Yiu ◽  
Kam K. H. Ng ◽  
Ching-Hung Lee ◽  
Chun Ting Chow ◽  
Tsz Ching Chan ◽  
...  
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Human Error ◽  
Air Traffic ◽  
Traffic Operations ◽  
Collaborative Decision Making ◽  
Complicated Process ◽  
System Robustness ◽  
Collaborative Decision

Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved. Nevertheless, aviation remains human-centred and requires collaboration between different parties. Given the lack of a collaborative decision-making training platform for air traffic operations in the industry, this study utilises the concept of cyber-physical systems (CPS) to formulate a system architecture for pilots and air traffic control officers training in collaborative decision making by linking and integrating the virtual counterparts of flights and air traffic control operations. Collaborative decision-making training and the corresponding intelligent automation aids could be realised and supported. A performance analysis via a flight task undertaken with different computational load settings was prepared to evaluate the platform’s latency and integrity. The latency is presented using its 95% confidence interval, and integrity is presented using the percentage of data loss during wireless transmission. The results demonstrated convincing performance and a promising system robustness in both domains.

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