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Control-based optimization approach for aircraft scheduling in a terminal area with alternative arrival routes

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  • Murça, Mayara Condé Rocha
  • Müller, Carlos

Abstract

This paper presents an optimization approach for dynamically scheduling aircraft operations and supporting air traffic controllers in both determining and implementing operationally feasible landing and departure times at an airport. The mixed integer linear programming model proposed incorporates air traffic control infrastructure in terms of route network, introduces the concept of alternative approach routes and is designed to generate an output that can be converted into effective advisories for executable flight commands. It shows reasonable computational times for obtaining the optimal solution and delay reductions of up to 35% with practical size instances from Sao Paulo/Guarulhos International Airport.

Suggested Citation

  • Murça, Mayara Condé Rocha & Müller, Carlos, 2015. "Control-based optimization approach for aircraft scheduling in a terminal area with alternative arrival routes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 96-113.
    • Handle: RePEc:eee:transe:v:73:y:2015:i:c:p:96-113
    DOI: 10.1016/j.tre.2014.11.004
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    References listed on IDEAS

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    Cited by:

    1. Yun-xiang, Han & Xiao-qiong, Huang & Wu, Xi-ping, 2020. "Characterizing the performance of queuing networks in terminal control systems," Journal of Air Transport Management, Elsevier, vol. 85(C).
    2. Guo, Yechenfeng & Hu, Minghua & Zou, Bo & Hansen, Mark & Zhang, Ying & Xie, Hua, 2022. "Air Traffic Flow Management Integrating Separation Management and Ground Holding: An Efficiency-Equity Bi-objective Perspective," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 394-423.
    3. Murça, Mayara Condé Rocha, 2018. "Collaborative air traffic flow management: Incorporating airline preferences in rerouting decisions," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 97-107.
    4. Samà, Marcella & D'Ariano, Andrea & Corman, Francesco & Pacciarelli, Dario, 2018. "Coordination of scheduling decisions in the management of airport airspace and taxiway operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 398-411.
    5. Marcella Samà & Andrea D’Ariano & Konstantin Palagachev & Matthias Gerdts, 2019. "Integration methods for aircraft scheduling and trajectory optimization at a busy terminal manoeuvring area," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 641-681, September.
    6. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    7. Bennell, Julia A. & Mesgarpour, Mohammad & Potts, Chris N., 2017. "Dynamic scheduling of aircraft landings," European Journal of Operational Research, Elsevier, vol. 258(1), pages 315-327.
    8. Romani de Oliveira, Ítalo, 2017. "Analyzing the performance of distributed conflict resolution among autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 92-112.

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