scholarly journals The airport A-CDM operational implementation description and challenges

2020 ◽  
Vol 10 (1) ◽  
pp. 14
Author(s):  
Omar Netto ◽  
Jorge Silva ◽  
Maria Baltazar
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Airline Industry ◽  
Research Work ◽  
Academic Research ◽  
Civil Aviation ◽  
Collaborative Decision Making ◽  
Multiple Case ◽  
Collaborative Decision

Purpose: This research aims to address an issue that today is a significant challenge for all signatory countries of the International Civil Aviation Organization (ICAO). The implementation of the areas for improving practices recommended in the Global Navigation Plan (GANP). More specifically on the theme of Airport Collaborative Decision Making (CDM), which involves three of the most critical stakeholders in the Air Sector, which are Airlines, Airports and Air Traffic Control Bodies.Design/methodology: The strategy chosen to achieve the objective is to present the vision of the leading entities that represent the aviation area. Thus, the methodology of the Case Study, more precisely the Multiple Case Study, is one of the bases in the elaboration of the article, in the sense that analyses and recommendations prepared by Central Aviation Organizations are carried out, as well as by other entities that bring together the Sector members.Findings: In addition to having a basis for the functioning of a Collaborative Decision Making (CDM) process within the Air Sector -because of the extreme dynamics of the sector-, readers will have a signal of the importance of having a systematic backing of document contents ICAO before starting any professional or research work. Mainly from the GANP document, a compass for these activities in the coming decades.Practical implications: Academics and members of the Air Sector will have a brief reference and focused on the practical application of this topic, which still has very few approaches in academic research sources.Originality/value: The educational form in which this article is sequenced, as well as the different views presented, can serve as a guide for the understanding of all those interested in the airline industry. Making it an original document in its content and of great value to its professionals and researchers.

scholarly journals Multiobjective Optimization Model for Collaborative En-Route and Slot Allocation

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Shangwen Yang ◽  
Jingting Zhang ◽  
Ping Chen ◽  
Yongjie Yan
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Programming Model ◽  
Numerical Test ◽  
Simulated Data ◽  
Slot Allocation ◽  
Collaborative Decision Making ◽  
Average Delay ◽  
Flight Delay ◽  
Collaborative Decision

To allocate the en-routes and slots resource to the flights with collaborative decision-making, a multiobjective 0-1 integer programming model was proposed. According to different demands from air traffic control departments, airlines, and passengers, efficiency, equity, and effectiveness principles of collaborative decision-making were considered. With the aim to minimize the total flight delay costs, the total number of turning points, and average delay time of passengers, the effectiveness constraints were achieved. The algorithm was designed to solve the model on the basis of the objective method, and Lingo11 and MatlabR2007b were applied in numerical tests. To test how well the model works in real world, a numerical test was performed based on the simulated data of a civil en-route. Test results show that, compared with the traditional strategy of first come first served, the model gains better effect. The superiority of the model was verified.

Understanding the effectiveness of partnership-based early childhood interventions

2009 ◽  
Vol 15 (3) ◽  
pp. 218 ◽  
Author(s):  
Margaret Kelaher ◽  
Judith Gray ◽  
David Dunt
Keyword(s):  
Decision Making ◽  
Early Childhood ◽  
Early Years ◽  
Tool Support ◽  
Analysis Tool ◽  
Collaborative Decision Making ◽  
Intervention Level ◽  
Partnership Effectiveness ◽  
Collaborative Decision

In this paper, we seek to understand the relationship between partnership effectiveness and preschool enrolment in Best Start, an early childhood intervention for children living in disadvantaged areas in Victoria, an Australian State. We will examine the application of theories of partnership effectiveness at a whole of intervention level and in the context of local evaluation initiatives at the Broadmeadows Early Years Partnership. For the statewide intervention, partnership effectiveness was measured using the VicHealth Partnership Analysis Tool at 11 Best Start Sites. The dependent variable was preschool enrolment in Best Start local government area. For the Broadmeadows Early Years Partnership case study, partnership is conceptualised in terms of the Lasker and Weiss (2003) model of collaborative decision making. Scores rose significantly between the two applications of the VicHealth Partnership Analysis Tool at the beginning and end of the Best Start funding period on almost all of the dimensions of the VicHealth Tool. Support for ‘making partnerships work’, ‘minimising barriers to partnerships’ and the ‘total’ partnership scores were associated with increased preschool enrolments. The results of the case study supported the model for collaborative decision making with particular emphasis on the role of shared leadership, synergy and bridging social ties as crucial processes in improving service integration. The results of the statewide intervention and the case study both provide evidence of the value of partnership approaches in improving service uptake and integration for children living in disadvantaged areas. The study also supports current conceptualisations of partnership value and effectiveness.

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 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.

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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