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A framework for the optimization of terminal airspace operations in Multi-Airport Systems

Author

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  • Sidiropoulos, Stavros
  • Majumdar, Arnab
  • Han, Ke

Abstract

Major cities like London, New York, and Tokyo are served by several airports, effectively creating a Multi-Airport System (MAS), or Metroplex. The operations of individual Metroplex airports are highly interdependent, rendering their efficient management rather difficult. This paper proposes a framework for the design of dynamic arrival and departure routes in MAS Terminal Maneuvering Areas, which fundamentally changes the operation in MAS airspaces for much improved efficiency when compared to the current situation. The framework consists of three components. The first presents a new procedure for characterizing dynamic arrival and departure routes based on the spatio-temporal distributions of flights. The second component is a novel Analytic Hierarchy Process (AHP) model for the prioritization of the dynamic routes, which takes into account a set of quantitative and qualitative attributes important for MAS operations. The third component is a priority-based method for the positioning of terminal waypoints as well as the design of three-dimensional, conflict-free terminal routes. Such a method accounts for the AHP-derived priorities while satisfying the minimal separation and aircraft maneuverability constraints. The developed framework is applied to a case study of the New York Metroplex, using aircraft trajectories during a heavy traffic period on typical day of operation in the New York Terminal Control Area in November 2011. The proposed framework is quantitatively assessed using the AirTOp fast-time simulation model. The results suggest significant improvements of the new design over the existing one, as measured by several key performance indicators such as travel distance, travel time, fuel burn, and controller workload. The operational feasibility of the framework is further validated qualitatively by subject matter experts from the Port Authority of New York and New Jersey, the operator of the New York Metroplex.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transb:v:110:y:2018:i:c:p:160-187
    DOI: 10.1016/j.trb.2018.02.010
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    References listed on IDEAS

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    1. 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.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Sun, Xiaoqian & Wandelt, Sebastian & Hansen, Mark & Li, Ang, 2017. "Multiple airport regions based on inter-airport temporal distances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 84-98.
    4. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    5. de Neufville, Richard, 1995. "Management of multi-airport systems," Journal of Air Transport Management, Elsevier, vol. 2(2), pages 99-110.
    6. Alessio Ishizaka & Markus Lusti, 2006. "How to derive priorities in AHP: a comparative study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 387-400, December.
    7. Castelli, Lorenzo & Pellegrini, Paola, 2011. "An AHP analysis of air traffic management with target windows," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 68-73.
    8. Lall, Ashish, 2018. "Delays in the New York City metroplex," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 139-153.
    9. Hansen, Mark & Du, Qiang, 1993. "Modeling Multiple Airport Systems: A Positive Feedback Approach," University of California Transportation Center, Working Papers qt4rk9b527, University of California Transportation Center.
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    Cited by:

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    2. Yong Tian & Lili Wan & Bojia Ye & Runze Yin & Dawei Xing, 2019. "Optimization Method for Reducing the Air Pollutant Emission and Aviation Noise of Arrival in Terminal Area," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    3. Linlin Chen & Shuihua Han & Chaokan Du & Zongwei Luo, 2022. "A real-time integrated optimization of the aircraft holding time and rerouting under risk area," Annals of Operations Research, Springer, vol. 310(1), pages 7-26, March.
    4. Hu, Rong & Huang, Mengyuan & Zhang, Junfeng & Witlox, Frank, 2023. "On the Matthew effect in a multi-airport system: Evidence from the viewpoint of airport green efficiency," Journal of Air Transport Management, Elsevier, vol. 106(C).
    5. Chen, Shuiwang & Wu, Lingxiao & Ng, Kam K.H. & Liu, Wei & Wang, Kun, 2024. "How airports enhance the environmental sustainability of operations: A critical review from the perspective of Operations Research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    6. Ruan, Liying & Gardi, Alessandro & Sabatini, Roberto, 2021. "Operational efficiency analysis of Beijing multi-airport terminal airspace," Journal of Air Transport Management, Elsevier, vol. 92(C).
    7. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    8. Liu, Wenjing & Delahaye, Daniel & Cetek, Fulya Aybek & Zhao, Qiuhong & Notry, Philippe, 2024. "Comparison of performance between PMS and trombone arrival route topologies in terminal maneuvering area," Journal of Air Transport Management, Elsevier, vol. 115(C).

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