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En-route sector capacity estimation methodologies: An international survey

Author

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  • Majumdar, Arnab
  • Ochieng, Washington Yotto
  • Bentham, James
  • Richards, Martyn

Abstract

Reliable estimation of en-route sector capacity is important, especially in high-density traffic areas where controller workload is the driver. En-route sector capacity is commonly estimated using fast-time computer simulation techniques employing models of controller workload. This paper analyses the methodologies employed by a number of countries in Europe and North America, to estimate the capacity of en-route airspace. The data used was obtained from airspace planners and managers. The survey involved interviews using pre-designed questionnaires. The results show that there are two main models used in the simulation of controller workload, and that there is considerable variation both in their application and controller involvement in the capacity estimation process.

Suggested Citation

  • Majumdar, Arnab & Ochieng, Washington Yotto & Bentham, James & Richards, Martyn, 2005. "En-route sector capacity estimation methodologies: An international survey," Journal of Air Transport Management, Elsevier, vol. 11(6), pages 375-387.
    • Handle: RePEc:eee:jaitra:v:11:y:2005:i:6:p:375-387
    DOI: 10.1016/j.jairtraman.2005.05.002
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    Citations

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    Cited by:

    1. Sidiropoulos, Stavros & Majumdar, Arnab & Han, Ke, 2018. "A framework for the optimization of terminal airspace operations in Multi-Airport Systems," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 160-187.
    2. Tobaruela, Gonzalo & Schuster, Wolfgang & Majumdar, Arnab & Ochieng, Washington Y. & Martinez, Luis & Hendrickx, Peter, 2014. "A method to estimate air traffic controller mental workload based on traffic clearances," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 59-71.
    3. Nava Gaxiola, César Antonio & Barrado, Cristina & Royo, Pablo & Pastor, Enric, 2018. "Assessment of the North European free route airspace deployment," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 113-119.
    4. Stefano Starita & Arne K. Strauss & Xin Fei & Radosav Jovanović & Nikola Ivanov & Goran Pavlović & Frank Fichert, 2020. "Air Traffic Control Capacity Planning Under Demand and Capacity Provision Uncertainty," Transportation Science, INFORMS, vol. 54(4), pages 882-896, July.

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