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Airport management: taxi planning

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  • Ángel Marín

Abstract

The Taxi Planning studies the aircraft routing and scheduling on the airport ground. This is a dynamic problem, which must be updated almost every time that a new aircraft enters or exits the system. Taxi Planning has been modelled using a linear multicommodity flow network model with side constraints and binary variables. The flow capacity constraints are used to represent the conflicts and competence between aircrafts using a given airport capacity. The “Branch and Bound” and “Fix and Relax” methodologies have been used. The computational tests have been run at the Madrid-Barajas airport, using actual data from the airport traffic. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Ángel Marín, 2006. "Airport management: taxi planning," Annals of Operations Research, Springer, vol. 143(1), pages 191-202, March.
    • Handle: RePEc:spr:annopr:v:143:y:2006:i:1:p:191-202:10.1007/s10479-006-7381-2
    DOI: 10.1007/s10479-006-7381-2
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    References listed on IDEAS

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    1. Dillenberger, Christof & Escudero, Laureano F. & Wollensak, Artur & Zhang, Wu, 1994. "On practical resource allocation for production planning and scheduling with period overlapping setups," European Journal of Operational Research, Elsevier, vol. 75(2), pages 275-286, June.
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    Cited by:

    1. Mirko Giacomo & Francesco Mason & Marisa Cenci, 2020. "A note on solving the Fleet Quickest Routing Problem on a grid graph," 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. 28(3), pages 1069-1090, September.
    2. Samà, Marcella & D’Ariano, Andrea & D’Ariano, Paolo & Pacciarelli, Dario, 2017. "Scheduling models for optimal aircraft traffic control at busy airports: Tardiness, priorities, equity and violations considerations," Omega, Elsevier, vol. 67(C), pages 81-98.
    3. Marisa Cenci & Mirko Giacomo & Francesco Mason, 2017. "A note on a mixed routing and scheduling problem on a grid graph," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1363-1376, November.
    4. Yin, Suwan & Han, Ke & Ochieng, Washington Yotto & Sanchez, Daniel Regueiro, 2022. "Joint apron-runway assignment for airport surface operations," Transportation Research Part B: Methodological, Elsevier, vol. 156(C), pages 76-100.
    5. Hang Zhou & Xinxin Jiang, 2015. "Research on Taxiway Path Optimization Based on Conflict Detection," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-17, July.
    6. 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.
    7. 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.
    8. 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.

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