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Impact of Continuous Climb Operations in ATC workload. Case-study Palma airport

Author

Listed:
  • Pérez-Castán, Javier A.
  • Asensio, Beatriz
  • Rodríguez-Sanz, à lvaro
  • Ho-Huu, Vinh
  • Sanz, Luis Pérez
  • Comendador, Fernando Gómez
  • Valdés, Rosa M.Arnaldo

Abstract

This research assesses the impact of the integration of Continuous Climb operations (CCOs) on Air Traffic Control (ATC) workload. The methodology encompasses different modules: CCO, standard departing and arriving trajectories extracted from an external database, an ad-hoc algorithm for detecting and solving conflicts, and an ATC-workload model with the inclusion of CCO-task modifications. Monte Carlo simulations evaluates different combinations of these modules. Then, a sensitivity analysis is performed to evaluate two parameters: the impact of the calibration of the maximum ATC workload and the percentage increase of the CCO tasks on the ATC workload. The methodology is applied to a case study at Palma airport in Spain. Extensive numerical simulations are executed based on the integration of CCOs into the system from 0% to 100%. The integration of CCOs implies the increase of the ATC workload in the Control Tower (TWR) and the reduction in the Approach Control Centre (APP). The sensitivity analysis shows that the decrease in the increase of CCO-task workload barely affects the number of CCOs that can be operated without exceeding the workload limits. Conversely, the reduction of the ATC workload calibration allows the integration of CCOs around 50% in the case of 90% TWR calibration and up to 100% in the case of 80%.

Suggested Citation

  • Pérez-Castán, Javier A. & Asensio, Beatriz & Rodríguez-Sanz, à lvaro & Ho-Huu, Vinh & Sanz, Luis Pérez & Comendador, Fernando Gómez & Valdés, Rosa M.Arnaldo, 2020. "Impact of Continuous Climb Operations in ATC workload. Case-study Palma airport," Journal of Air Transport Management, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:jaitra:v:89:y:2020:i:c:s0969699720304749
    DOI: 10.1016/j.jairtraman.2020.101890
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    References listed on IDEAS

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    1. Ioannis Simaiakis & Hamsa Balakrishnan, 2016. "A Queuing Model of the Airport Departure Process," Transportation Science, INFORMS, vol. 50(1), pages 94-109, February.
    2. Alexandre Jacquillat & Amedeo R. Odoni & Mort D. Webster, 2017. "Dynamic Control of Runway Configurations and of Arrival and Departure Service Rates at JFK Airport Under Stochastic Queue Conditions," Transportation Science, INFORMS, vol. 51(1), pages 155-176, February.
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