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An Intelligent Dynamic Airspace Configuration (DAC) Decision Support System for Next Generation Air Transportation System (NGATS)

Nasr, Mohammad Sadegh | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52140 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Malaek, Mohammad Bagher
  7. Abstract:
  8. For the past few years, increasing the airspace capacity has been one of the most detrimental issues facing air traffic management. Statistically speaking, the demand for aerial transportation has been continuously growing hitting an %8.1 growth in 2017. This growth rate in conjunction with the performance and safety considerations for the ATC systems, clearly indicate the need for a practical and safe solution to the airspace capacity problem. Dynamic Airspace Configuration (DAC), is one of the proposed methods addressing this problem by changing the airspace configuration over time.In this research, we have introduced an intelligent method for airspace configuration given the forecast of the air traffic in the Class A airspace. In this method, the objective is to minimize the air traffic controllers’ workload while maintaining the workload balanced between different sections of the controlled airspace. As a means of increasing the performance, we use the concept of Dynamic Density for estimating the controllers’ workload. This concept allows us to efficiently utilize the controllers’ capacities while ensuring the safety of operations. The main method hired to tackle this problem is to first model the system as a graph partitioning problem and then using an evolutionary algorithm for solving it.In the end, we have demonstrated that a reduction of %37 and %16 in the nonhomogeneous workload is possible during the light and heavy traffic hours, respectively. Moreover, during the light traffic hours, the number of sections has decreased from 19 to 16 demonstrating a better performance for the system
  9. Keywords:
  10. Air Traffic Management ; Next Generation Air Transportation System (NGATS) ; Dynamic Airspace Configuration ; Intelligent Decision Support System ; Artificial Intelligence

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