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ANALYSIS OF CONGONHAS-SP AIRPORT ACTIVITIES USING COMPUTATIONAL SIMULATION

Congonhas Airport, located in São Paulo/SP, is the second busiest airport in Brazil, with an average of approximately 1000 movements/day, and an allocation capacity of more than 3000 passengers (passenger/hour). This high flow was triggered by globalization which, in turn, increased the need for more effective control and planning with air traffic. Therefore, with this context highlighted, the behavior of the aircraft in their activities was analyzed, checking average time for each of them, possible bottlenecks and resource allocation. This study considers the variations and particularities of the panorama presented through the use of the computer simulation tool, Simul8, in order to illustrate and, possibly, predict the routine involving the behavior of planes during their stay at the airport. Furthermore, different scenarios were created in order to analyze the influence of some resources that could interfere with the macroscopic situation of the case. 

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ANALYSIS OF CONGONHAS-SP AIRPORT ACTIVITIES USING COMPUTATIONAL SIMULATION

  • DOI: https://doi.org/10.22533/at.ed.317442425016

  • Palavras-chave: Congonhas Airport, Air Traffic, Simulation, Simul8.

  • Keywords: Congonhas Airport, Air Traffic, Simulation, Simul8.

  • Abstract:

    Congonhas Airport, located in São Paulo/SP, is the second busiest airport in Brazil, with an average of approximately 1000 movements/day, and an allocation capacity of more than 3000 passengers (passenger/hour). This high flow was triggered by globalization which, in turn, increased the need for more effective control and planning with air traffic. Therefore, with this context highlighted, the behavior of the aircraft in their activities was analyzed, checking average time for each of them, possible bottlenecks and resource allocation. This study considers the variations and particularities of the panorama presented through the use of the computer simulation tool, Simul8, in order to illustrate and, possibly, predict the routine involving the behavior of planes during their stay at the airport. Furthermore, different scenarios were created in order to analyze the influence of some resources that could interfere with the macroscopic situation of the case. 

  • Ana Julia Braga
  • Ariany Fonte Boa Araújo
  • Pedro Silveira Guimarães
  • Lucas Ferreira Lima
  • Thiago Henrique Nogueira
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