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A real-time integrated optimization of the aircraft holding time and rerouting under risk area

Author

Listed:
  • Linlin Chen

    (Xiamen University)

  • Shuihua Han

    (Xiamen University)

  • Chaokan Du

    (Xiamen University)

  • Zongwei Luo

    (BNU-HKBU United International College)

Abstract

Fight on-time rate is one of the key air transport industry’s service quality indicators, often affected by adverse weather. In order to improve flight punctuality and reduce the impact of adverse weather on flights, a Real-time Integrated Optimization of the Aircraft Holding Time and Rerouting under Risk Area (RIOAHTR-RA) model is proposed at minimizing the total flight duration from the start point of rerouting to the end point of rerouting under adverse weather condition. In this model, the update cycle based on radar data is generally 6 min, and the position relationship between risk area and the aircraft is available and described in real time. The RIOAHTR-RA model is then solved by the distribution estimation algorithm with improved artificial potential field (IAPF) by introducing intermediate target point, relative position and relative velocity factors. Then, the optimal holding time and rerouting path for aircraft were allocated. The results are compared with the single rerouting strategy, and the effectiveness of the optimization solver with improved IAPF is evaluated. Compared with the data of the Hong Kong Observatory’s forecast system, the results show that appropriate holding time before rerouting can reduce flight delays. The proposed RIOAHTR-RA model is suitable for real-time air traffic flow management.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:annopr:v:310:y:2022:i:1:d:10.1007_s10479-020-03816-0
    DOI: 10.1007/s10479-020-03816-0
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    References listed on IDEAS

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    1. Coy, Steven, 2006. "A global model for estimating the block time of commercial passenger aircraft," Journal of Air Transport Management, Elsevier, vol. 12(6), pages 300-305.
    2. 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.
    3. Peter B. Vranas & Dimitris J. Bertsimas & Amedeo R. Odoni, 1994. "The Multi-Airport Ground-Holding Problem in Air Traffic Control," Operations Research, INFORMS, vol. 42(2), pages 249-261, April.
    4. A. Alonso-Ayuso & L. Escudero & F. Martín-Campo, 2014. "On modeling the air traffic control coordination in the collision avoidance problem by mixed integer linear optimization," Annals of Operations Research, Springer, vol. 222(1), pages 89-105, November.
    5. Ulrich Dorndorf & Florian Jaehn & Erwin Pesch, 2012. "Flight gate scheduling with respect to a reference schedule," Annals of Operations Research, Springer, vol. 194(1), pages 177-187, April.
    6. Mukherjee, Avijit & Hansen, Mark, 2009. "A dynamic rerouting model for air traffic flow management," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 159-171, January.
    7. Guglielmo Lulli & Amedeo Odoni, 2007. "The European Air Traffic Flow Management Problem," Transportation Science, INFORMS, vol. 41(4), pages 431-443, November.
    8. Ulrich Dorndorf & Florian Jaehn & Erwin Pesch, 2017. "Flight gate assignment and recovery strategies with stochastic arrival and departure times," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 65-93, January.
    Full references (including those not matched with items on IDEAS)

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