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The aircraft ground routing problem: Analysis of industry punctuality indicators in a sustainable perspective

Author

Listed:
  • Guépet, J.
  • Briant, O.
  • Gayon, J.P.
  • Acuna-Agost, R.

Abstract

The ground routing problem consists in scheduling the movements of aircraft on the ground between runways and parking positions while respecting operational and safety requirements in the most efficient way. We present a Mixed Integer Programming (MIP) formulation for routing aircraft along a predetermined path. This formulation is generalized to allow several possible paths. Our model takes into account the classical performance indicators of the literature (the average taxi and completion times) but also the main punctuality indicators of the air traffic industry (the average delay and the on time performance). Then we investigate their relationship through experiments based on real data from Copenhagen Airport (CPH). We show that the industry punctuality indicators are in contradiction with the objective of reducing taxi times and therefore pollution emissions. We propose new indicators that are more sustainable, but also more relevant for stakeholders. We also show that alternate path cannot improve the performance indicators.

Suggested Citation

  • Guépet, J. & Briant, O. & Gayon, J.P. & Acuna-Agost, R., 2016. "The aircraft ground routing problem: Analysis of industry punctuality indicators in a sustainable perspective," European Journal of Operational Research, Elsevier, vol. 248(3), pages 827-839.
    • Handle: RePEc:eee:ejores:v:248:y:2016:i:3:p:827-839
    DOI: 10.1016/j.ejor.2015.08.041
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    References listed on IDEAS

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    1. Angel Marín & Esteve Codina, 2008. "Network design: taxi planning," Annals of Operations Research, Springer, vol. 157(1), pages 135-151, January.
    2. Ángel Marín, 2006. "Airport management: taxi planning," Annals of Operations Research, Springer, vol. 143(1), pages 191-202, March.
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    Cited by:

    1. Dönmez, Kadir & Çetek, Cem & Kaya, Onur, 2022. "Air traffic management in parallel-point merge systems under wind uncertainties," Journal of Air Transport Management, Elsevier, vol. 104(C).
    2. Guépet, Julien & Briant, Olivier & Gayon, Jean-Philippe & Acuna-Agost, Rodrigo, 2017. "Integration of aircraft ground movements and runway operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 131-149.
    3. Jamili, Amin, 2017. "A robust mathematical model and heuristic algorithms for integrated aircraft routing and scheduling, with consideration of fleet assignment problem," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 21-30.
    4. Jianan Yin & Minghua Hu & Yuanyuan Ma & Ke Han & Dan Chen, 2019. "Airport Taxi Situation Awareness with a Macroscopic Distribution Network Analysis," Networks and Spatial Economics, Springer, vol. 19(3), pages 669-695, September.
    5. Niu, Shih-Yuan & Liu, Chiung-Lin & Chang, Chih-Ching & Ye, Kung-Don, 2016. "What are passenger perspectives regarding airlines' environmental protection? An empirical investigation in Taiwan," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 84-91.

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